diff --git a/ry-api/ruoyi-business/src/main/java/com/ruoyi/business/domain/BizMeetingAttendee.java b/ry-api/ruoyi-business/src/main/java/com/ruoyi/business/domain/BizMeetingAttendee.java
index fb48e96..090e86d 100644
--- a/ry-api/ruoyi-business/src/main/java/com/ruoyi/business/domain/BizMeetingAttendee.java
+++ b/ry-api/ruoyi-business/src/main/java/com/ruoyi/business/domain/BizMeetingAttendee.java
@@ -38,6 +38,12 @@ public class BizMeetingAttendee extends BaseEntity {
     private BigDecimal feePreTax;
     private BigDecimal tax;
     private BigDecimal fee;
+    /** 增值税及附加成本 (财务口径: 平台承担的开票税 + 附加税) */
+    private BigDecimal vatAndSurcharge;
+    /** 摘要 (备注/说明) */
+    private String summary;
+    /** 现场照片 (OSS URLs, 多张用逗号分隔) */
+    private String onSitePhotos;
     /* ===== 审计 + 签字结果 ===== */
     @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
     private Date signedAt;
@@ -97,6 +103,12 @@ public class BizMeetingAttendee extends BaseEntity {
     public void setTax(BigDecimal tax) { this.tax = tax; }
     public BigDecimal getFee() { return fee; }
     public void setFee(BigDecimal fee) { this.fee = fee; }
+    public BigDecimal getVatAndSurcharge() { return vatAndSurcharge; }
+    public void setVatAndSurcharge(BigDecimal vatAndSurcharge) { this.vatAndSurcharge = vatAndSurcharge; }
+    public String getSummary() { return summary; }
+    public void setSummary(String summary) { this.summary = summary; }
+    public String getOnSitePhotos() { return onSitePhotos; }
+    public void setOnSitePhotos(String onSitePhotos) { this.onSitePhotos = onSitePhotos; }
     public Date getSignedAt() { return signedAt; }
     public void setSignedAt(Date signedAt) { this.signedAt = signedAt; }
     public String getSignedIp() { return signedIp; }
diff --git a/ry-api/ruoyi-business/src/main/resources/mapper/business/BizMeetingAttendeeMapper.xml b/ry-api/ruoyi-business/src/main/resources/mapper/business/BizMeetingAttendeeMapper.xml
index 7619993..553773c 100644
--- a/ry-api/ruoyi-business/src/main/resources/mapper/business/BizMeetingAttendeeMapper.xml
+++ b/ry-api/ruoyi-business/src/main/resources/mapper/business/BizMeetingAttendeeMapper.xml
@@ -22,6 +22,9 @@
         <result property="feePreTax"     column="fee_pre_tax" />
         <result property="tax"           column="tax" />
         <result property="fee"           column="fee" />
+        <result property="vatAndSurcharge" column="vat_and_surcharge" />
+        <result property="summary"       column="summary" />
+        <result property="onSitePhotos"  column="on_site_photos" />
         <result property="signedAt"      column="signed_at" />
         <result property="signedIp"      column="signed_ip" />
         <result property="handsign"  column="handsign"  />
@@ -49,10 +52,13 @@
     <insert id="insertWithProfile" parameterType="BizMeetingAttendee" useGeneratedKeys="true" keyProperty="id">
         insert into biz_meeting_attendee(meeting_id, user_id, name, phone, work_unit, department, title,
             id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name,
-            id_card_attachments, labor_form, fee_pre_tax, tax, fee, create_by, create_time)
+            id_card_attachments, labor_form, fee_pre_tax, tax, fee, vat_and_surcharge, summary, on_site_photos,
+            create_by, create_time)
         values(#{meetingId}, #{userId}, #{name}, #{phone}, #{workUnit}, #{department}, #{title},
             #{idCard}, #{bankCard}, #{bankName}, #{bankBranch}, #{bankRegion}, #{bankAddress}, #{accountName},
-            #{idCardAttachments}, #{laborForm}, #{feePreTax}, #{tax}, #{fee}, #{createBy}, sysdate())
+            #{idCardAttachments}, #{laborForm}, #{feePreTax}, #{tax}, #{fee},
+            #{vatAndSurcharge}, #{summary}, #{onSitePhotos},
+            #{createBy}, sysdate())
     </insert>
     <!-- 批量插入参会人 (BizMeetingController.add 调用) -->
     <insert id="insertBatch">
@@ -83,6 +89,9 @@
             <if test="feePreTax != null">fee_pre_tax = #{feePreTax},</if>
             <if test="tax != null">tax = #{tax},</if>
             <if test="fee != null">fee = #{fee},</if>
+            <if test="vatAndSurcharge != null">vat_and_surcharge = #{vatAndSurcharge},</if>
+            <if test="summary != null">summary = #{summary},</if>
+            <if test="onSitePhotos != null">on_site_photos = #{onSitePhotos},</if>
             update_by = #{updateBy},
             update_time = sysdate()
         </set>
@@ -125,15 +134,15 @@
         delete from biz_meeting_attendee where meeting_id = #{meetingId} and user_id = #{userId}
     </delete>
     <select id="selectByMeetingId" resultMap="BizMeetingAttendeeResult" parameterType="Long">
-        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
+        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, vat_and_surcharge, summary, on_site_photos, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
         from biz_meeting_attendee where meeting_id = #{meetingId}
     </select>
     <select id="selectByUserId" resultMap="BizMeetingAttendeeResult" parameterType="Long">
-        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
+        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, vat_and_surcharge, summary, on_site_photos, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
         from biz_meeting_attendee where user_id = #{userId}
     </select>
     <select id="selectById" resultMap="BizMeetingAttendeeResult" parameterType="Long">
-        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
+        select id, meeting_id, user_id, name, phone, work_unit, department, title, id_card, bank_card, bank_name, bank_branch, bank_region, bank_address, account_name, id_card_attachments, labor_form, fee_pre_tax, tax, fee, vat_and_surcharge, summary, on_site_photos, signed_at, signed_ip, handsign, labor_protocol, create_by, create_time
         from biz_meeting_attendee where id = #{id}
     </select>
     <!--
diff --git a/ry-h5/.gitignore b/ry-h5/.gitignore
new file mode 100644
index 0000000..2370852
--- /dev/null
+++ b/ry-h5/.gitignore
@@ -0,0 +1,4 @@
+node_modules/
+unpackage/
+.hbuilderx/
+.DS_Store
diff --git a/ry-h5/App.uvue b/ry-h5/App.uvue
new file mode 100644
index 0000000..9101cf2
--- /dev/null
+++ b/ry-h5/App.uvue
@@ -0,0 +1,51 @@
+<script setup lang="uts">
+	// #ifdef APP-ANDROID || APP-HARMONY
+	let firstBackTime = 0
+	// #endif
+
+	onLaunch(() => {
+		console.log('App Launch')
+	})
+
+	onAppShow(() => {
+		console.log('App Show')
+	})
+
+	onAppHide(() => {
+		console.log('App Hide')
+	})
+
+	// #ifdef APP-ANDROID || APP-HARMONY
+	onLastPageBackPress(() => {
+		console.log('App LastPageBackPress')
+		if (firstBackTime == 0) {
+			uni.showToast({
+				title: '再按一次退出应用',
+				position: 'bottom',
+			})
+			firstBackTime = Date.now()
+			setTimeout(() => {
+				firstBackTime = 0
+			}, 2000)
+		} else if (Date.now() - firstBackTime < 2000) {
+			firstBackTime = Date.now()
+			uni.exit()
+		}
+	})
+
+	onExit(() => {
+		console.log('App Exit')
+	})
+	// #endif
+</script>
+
+<style>
+	/*每个页面公共css */
+	.uni-row {
+		flex-direction: row;
+	}
+
+	.uni-column {
+		flex-direction: column;
+	}
+</style>
\ No newline at end of file
diff --git a/ry-h5/composables/useCamera.ts b/ry-h5/composables/useCamera.ts
new file mode 100644
index 0000000..7031d9a
--- /dev/null
+++ b/ry-h5/composables/useCamera.ts
@@ -0,0 +1,93 @@
+/**
+ * 共享相机 composable (H5 only)
+ *
+ * 用法: const { captured, errorMsg, startCamera, flipCamera, takePhoto, retake, confirm } = useCamera('my-video-id')
+ *
+ * - 自动在 onMounted 启动摄像头
+ * - 自动在 onBeforeUnmount 停止摄像头
+ * - 返回 ref 和方法,业务页只需负责 UI 布局
+ */
+import { ref, onMounted, onBeforeUnmount } from 'vue'
+import { openCamera, stopCamera, captureFrame, describeCameraError, type Facing } from '@/utils/camera'
+
+export function useCamera(videoId: string) {
+	const facing = ref<Facing>('environment')
+	const captured = ref<string>('')
+	const errorMsg = ref<string>('')
+
+	function getVideoEl(): HTMLVideoElement | null {
+		return document.getElementById(videoId) as HTMLVideoElement | null
+	}
+
+	async function startCamera() {
+		errorMsg.value = ''
+		const video = getVideoEl()
+		if (!video) {
+			errorMsg.value = '视频元素未找到'
+			return
+		}
+		try {
+			await openCamera(video, facing.value)
+		} catch (err) {
+			errorMsg.value = describeCameraError(err)
+			console.error('[camera]', err)
+		}
+	}
+
+	function flipCamera() {
+		facing.value = facing.value === 'environment' ? 'user' : 'environment'
+		startCamera()
+	}
+
+	async function takePhoto() {
+		const video = getVideoEl()
+		if (!video) return
+		try {
+			captured.value = captureFrame(video)
+		} catch (err) {
+			uni.showToast({
+				title: (err as Error).message || '截图失败',
+				icon: 'none',
+			})
+		}
+	}
+
+	function retake() {
+		captured.value = ''
+	}
+
+	async function confirm() {
+		// POC: 假上传 + loading 给用户完整仪式感
+		uni.showLoading({ title: '上传中...' })
+		await new Promise<void>((resolve) => setTimeout(resolve, 800))
+		uni.hideLoading()
+		uni.showToast({
+			title: '已保存 (POC 未上传)',
+			icon: 'none',
+			duration: 1500,
+		})
+		captured.value = ''
+	}
+
+	onMounted(() => {
+		startCamera()
+	})
+
+	onBeforeUnmount(() => {
+		const video = getVideoEl()
+		if (video) {
+			stopCamera(video)
+		}
+	})
+
+	return {
+		facing,
+		captured,
+		errorMsg,
+		startCamera,
+		flipCamera,
+		takePhoto,
+		retake,
+		confirm,
+	}
+}
\ No newline at end of file
diff --git a/ry-h5/index.html b/ry-h5/index.html
new file mode 100644
index 0000000..5ad302e
--- /dev/null
+++ b/ry-h5/index.html
@@ -0,0 +1,31 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+	<head>
+		<meta charset="UTF-8" />
+		<script>
+			var coverSupport = 'CSS' in window && typeof CSS.supports === 'function' && (CSS.supports('top: env(a)') ||
+				CSS.supports('top: constant(a)'))
+			document.write(
+				'<meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0' +
+				(coverSupport ? ', viewport-fit=cover' : '') + '" />')
+		</script>
+		<title>取景拍摄</title>
+		<!--preload-links-->
+		<!--app-context-->
+	</head>
+	<body>
+		<div id="app"><!--app-html--></div>
+		<style>
+			/* 路由切换瞬间避免白屏 */
+			html, body {
+				margin: 0;
+				padding: 0;
+				background: #0d0d0d;
+				width: 100%;
+				height: 100%;
+				overflow: hidden;
+			}
+		</style>
+		<script type="module" src="/main"></script>
+	</body>
+</html>
\ No newline at end of file
diff --git a/ry-h5/main.uts b/ry-h5/main.uts
new file mode 100644
index 0000000..8bdcc86
--- /dev/null
+++ b/ry-h5/main.uts
@@ -0,0 +1,9 @@
+import App from './App.uvue'
+
+import { createSSRApp } from 'vue'
+export function createApp() {
+	const app = createSSRApp(App)
+	return {
+		app
+	}
+}
\ No newline at end of file
diff --git a/ry-h5/manifest.json b/ry-h5/manifest.json
new file mode 100644
index 0000000..88dd4f1
--- /dev/null
+++ b/ry-h5/manifest.json
@@ -0,0 +1,82 @@
+{
+	"name": "ry-h5",
+	"appid": "__UNI__F1A462A",
+	"description": "证件/会议拍摄预研 (H5)",
+	"versionName": "1.0.0",
+	"versionCode": "100",
+	"uni-app-x": {},
+	"quickapp": {},
+	"mp-weixin": {
+		"appid": "",
+		"setting": {
+			"urlCheck": false
+		},
+		"usingComponents": true
+	},
+	"mp-alipay": {
+		"usingComponents": true
+	},
+	"mp-baidu": {
+		"usingComponents": true
+	},
+	"mp-toutiao": {
+		"usingComponents": true
+	},
+	"uniStatistics": {
+		"enable": false
+	},
+	"vueVersion": "3",
+	"h5": {
+		"title": "证件/会议拍摄",
+		"router": {
+			"mode": "hash",
+			"base": "/camera/"
+		},
+		"publicPath": "/camera/",
+		"devServer": {
+			"https": false,
+			"port": 8090,
+			"disableHostCheck": true,
+			"publicPath": "/camera/"
+		},
+		"sdkConfigs": {},
+		"optimization": {
+			"treeShaking": {
+				"enable": true
+			}
+		}
+	},
+	"app": {
+		"distribute": {
+			"icons": {
+				"android": {
+					"hdpi": "",
+					"xhdpi": "",
+					"xxhdpi": "",
+					"xxxhdpi": ""
+				}
+			}
+		}
+	},
+	"app-android": {
+		"distribute": {
+			"modules": {},
+			"icons": {
+				"hdpi": "",
+				"xhdpi": "",
+				"xxhdpi": "",
+				"xxxhdpi": ""
+			},
+			"splashScreens": {
+				"default": {}
+			}
+		}
+	},
+	"app-ios": {
+		"distribute": {
+			"modules": {},
+			"icons": {},
+			"splashScreens": {}
+		}
+	}
+}
\ No newline at end of file
diff --git a/ry-h5/nginx.conf.example b/ry-h5/nginx.conf.example
new file mode 100644
index 0000000..76b6347
--- /dev/null
+++ b/ry-h5/nginx.conf.example
@@ -0,0 +1,44 @@
+# nginx 配置示例 — 把这个 location 块贴进你已有的 HTTPS server { ... } 里
+#
+# 打包:
+#   HBuilderX → 发行 → 网站-手机H5
+#   产物: unpackage/dist/build/h5/
+#
+# 部署:
+#   sudo cp -r unpackage/dist/build/h5/ /var/www/ry-h5/
+#
+# 真机访问:
+#   https://<你的域名或IP>/camera/
+
+# ========== 单 location 块(粘到现有 server 里) ==========
+
+location /camera/ {
+    alias /var/www/ry-h5/;
+    index index.html;
+    try_files $uri $uri/ /camera/index.html;
+
+    # 长缓存静态资源(JS/CSS/SVG/PNG)
+    location ~* ^/camera/static/.*\.(js|css|svg|png|jpg|jpeg|gif|woff2?)$ {
+        alias /var/www/ry-h5/static/;
+        expires 7d;
+        add_header Cache-Control "public, max-age=604800, immutable";
+    }
+}
+
+
+# ========== 完整 server 块参考(若你想独立跑一个 server) ==========
+
+# HTTPS(用你已有的证书路径替换)
+# server {
+#     listen 443 ssl;
+#     server_name your-domain.com;
+#
+#     ssl_certificate     /etc/nginx/ssl/your-cert.pem;
+#     ssl_certificate_key /etc/nginx/ssl/your-cert-key.pem;
+#
+#     location /camera/ {
+#         alias /var/www/ry-h5/;
+#         index index.html;
+#         try_files $uri $uri/ /camera/index.html;
+#     }
+# }
\ No newline at end of file
diff --git a/ry-h5/pages.json b/ry-h5/pages.json
new file mode 100644
index 0000000..b5ceaff
--- /dev/null
+++ b/ry-h5/pages.json
@@ -0,0 +1,38 @@
+{
+	"pages": [
+		{
+			"path": "pages/index/index",
+			"style": {
+				"navigationBarTitleText": "取景拍摄",
+				"navigationStyle": "custom",
+				"backgroundColor": "#0d0d0d"
+			}
+		},
+		{
+			"path": "pages/signin/index",
+			"style": {
+				"navigationBarTitleText": "签到表取景",
+				"navigationStyle": "custom",
+				"backgroundColor": "#000000",
+				"disableScroll": true
+			}
+		},
+		{
+			"path": "pages/panorama/index",
+			"style": {
+				"navigationBarTitleText": "全景取景",
+				"navigationStyle": "custom",
+				"backgroundColor": "#000000",
+				"disableScroll": true
+			}
+		}
+	],
+	"globalStyle": {
+		"navigationStyle": "custom",
+		"navigationBarTextStyle": "white",
+		"navigationBarTitleText": "取景拍摄",
+		"navigationBarBackgroundColor": "#000000",
+		"backgroundColor": "#0d0d0d"
+	},
+	"uniIdRouter": {}
+}
\ No newline at end of file
diff --git a/ry-h5/pages/index/index.uvue b/ry-h5/pages/index/index.uvue
new file mode 100644
index 0000000..fe94d8d
--- /dev/null
+++ b/ry-h5/pages/index/index.uvue
@@ -0,0 +1,154 @@
+<template>
+	<view class="home">
+		<view class="hero">
+			<text class="hero-title">取景拍摄</text>
+			<text class="hero-subtitle">选择拍摄场景</text>
+		</view>
+
+		<view class="list">
+			<view class="card" @click="goSignin">
+				<view class="card-icon-wrap">
+					<text class="card-icon">📄</text>
+				</view>
+				<view class="card-body">
+					<text class="card-title">签到表拍摄</text>
+					<text class="card-desc">A4 竖版 · 框宽 90% · 适合签到表 / 会议材料</text>
+				</view>
+				<text class="card-arrow">›</text>
+			</view>
+
+			<view class="card" @click="goPanorama">
+				<view class="card-icon-wrap">
+					<text class="card-icon">📷</text>
+				</view>
+				<view class="card-body">
+					<text class="card-title">全景照片拍摄</text>
+					<text class="card-desc">16:9 横版 · 框宽 80% · 适合合影 / 全景</text>
+				</view>
+				<text class="card-arrow">›</text>
+			</view>
+		</view>
+
+		<view class="footer">
+			<text class="footer-text">POC 阶段 · 真机测试需 HTTPS</text>
+		</view>
+	</view>
+</template>
+
+<script setup lang="uts">
+function goSignin() {
+	uni.navigateTo({ url: '/pages/signin/index' })
+}
+
+function goPanorama() {
+	uni.navigateTo({ url: '/pages/panorama/index' })
+}
+</script>
+
+<style>
+	.home {
+		position: fixed;
+		top: 0;
+		left: 0;
+		right: 0;
+		bottom: 0;
+		background: #0d0d0d;
+		display: flex;
+		flex-direction: column;
+		padding-top: env(safe-area-inset-top);
+		padding-bottom: env(safe-area-inset-bottom);
+		overflow-y: auto;
+	}
+
+	.hero {
+		padding: 80rpx 40rpx 40rpx;
+	}
+
+	.hero-title {
+		display: block;
+		color: #FFD600;
+		font-size: 56rpx;
+		font-weight: bold;
+		margin-bottom: 12rpx;
+	}
+
+	.hero-subtitle {
+		display: block;
+		color: #999;
+		font-size: 28rpx;
+	}
+
+	.list {
+		display: flex;
+		flex-direction: column;
+		padding: 0 40rpx;
+	}
+
+	.card {
+		display: flex;
+		flex-direction: row;
+		align-items: center;
+		padding: 40rpx 32rpx;
+		margin-bottom: 24rpx;
+		background: rgba(255, 255, 255, 0.06);
+		border-radius: 20rpx;
+		border: 2rpx solid rgba(255, 214, 0, 0.25);
+	}
+
+	.card:active {
+		background: rgba(255, 214, 0, 0.12);
+		border-color: rgba(255, 214, 0, 0.6);
+	}
+
+	.card-icon-wrap {
+		width: 100rpx;
+		height: 100rpx;
+		border-radius: 24rpx;
+		background: rgba(255, 214, 0, 0.15);
+		display: flex;
+		justify-content: center;
+		align-items: center;
+		margin-right: 24rpx;
+	}
+
+	.card-icon {
+		font-size: 52rpx;
+	}
+
+	.card-body {
+		flex: 1;
+		display: flex;
+		flex-direction: column;
+	}
+
+	.card-title {
+		color: #fff;
+		font-size: 32rpx;
+		font-weight: bold;
+		margin-bottom: 8rpx;
+	}
+
+	.card-desc {
+		color: #999;
+		font-size: 24rpx;
+		line-height: 1.4;
+	}
+
+	.card-arrow {
+		color: #FFD600;
+		font-size: 56rpx;
+		margin-left: 16rpx;
+		font-weight: bold;
+	}
+
+	.footer {
+		margin-top: auto;
+		padding: 60rpx 40rpx 40rpx;
+		text-align: center;
+	}
+
+	.footer-text {
+		color: #666;
+		font-size: 22rpx;
+	}
+</style>
\ No newline at end of file
diff --git a/ry-h5/pages/panorama/index.uvue b/ry-h5/pages/panorama/index.uvue
new file mode 100644
index 0000000..bf6dcc1
--- /dev/null
+++ b/ry-h5/pages/panorama/index.uvue
@@ -0,0 +1,299 @@
+<template>
+	<view class="camera-page">
+		<!-- 顶部导航 -->
+		<view class="topbar">
+			<view class="back-btn" @click="goBack">
+				<text class="back-icon">‹</text>
+			</view>
+			<text class="topbar-title">全景取景 (16:9)</text>
+			<view class="placeholder" />
+		</view>
+
+		<!-- 视频 + overlay -->
+		<view class="viewport">
+			<video
+				id="panorama-video"
+				class="video"
+				autoplay
+				muted
+				playsinline
+			/>
+			<image
+				class="frame panorama-frame"
+				src="/static/overlay/panorama.svg"
+				mode="widthFix"
+			/>
+
+			<view v-if="errorMsg" class="error-layer">
+				<text class="error-text">{{ errorMsg }}</text>
+				<button class="retry-btn" @click="startCamera">重试</button>
+			</view>
+		</view>
+
+		<!-- 底部控制条 -->
+		<view class="controls">
+			<button class="ctrl-btn" @click="flipCamera">
+				<text class="ctrl-icon">⟲</text>
+				<text class="ctrl-label">翻转</text>
+			</button>
+
+			<view class="shutter" @click="takePhoto">
+				<view class="shutter-inner" />
+			</view>
+
+			<view class="ctrl-btn-placeholder" />
+		</view>
+
+		<!-- 拍照预览层 -->
+		<view v-if="captured" class="preview">
+			<image
+				class="preview-img"
+				:src="captured"
+				mode="aspectFit"
+			/>
+			<view class="preview-actions">
+				<button class="preview-btn preview-btn-cancel" @click="retake">
+					<text>重拍</text>
+				</button>
+				<button class="preview-btn preview-btn-confirm" @click="confirm">
+					<text>使用</text>
+				</button>
+			</view>
+		</view>
+	</view>
+</template>
+
+<script setup lang="uts">
+import { useCamera } from '@/composables/useCamera'
+
+const videoId = 'panorama-video'
+const { captured, errorMsg, startCamera, flipCamera, takePhoto, retake, confirm } =
+	useCamera(videoId)
+
+function goBack() {
+	uni.navigateBack()
+}
+</script>
+
+<style>
+	.camera-page {
+		position: fixed;
+		top: 0;
+		left: 0;
+		right: 0;
+		bottom: 0;
+		background: transparent;
+		display: flex;
+		flex-direction: column;
+		overflow: hidden;
+		z-index: 3;
+	}
+
+	/* ========== 顶部导航 ========== */
+	.topbar {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-between;
+		align-items: center;
+		padding: 20rpx 30rpx;
+		padding-top: calc(20rpx + env(safe-area-inset-top));
+		background: rgba(0, 0, 0, 0.7);
+	}
+
+	.back-btn {
+		width: 80rpx;
+		height: 80rpx;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+	}
+
+	.back-icon {
+		color: #fff;
+		font-size: 60rpx;
+		font-weight: bold;
+	}
+
+	.topbar-title {
+		color: #fff;
+		font-size: 32rpx;
+		font-weight: bold;
+	}
+
+	.placeholder {
+		width: 80rpx;
+	}
+
+	/* ========== 视频取景区 ========== */
+	.viewport {
+		position: relative;
+		flex: 1;
+		overflow: hidden;
+		background: transparent;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+	}
+
+	.video {
+		position: absolute;
+		top: 0;
+		left: 0;
+		width: 100%;
+		height: 100%;
+		object-fit: cover;
+		z-index: 0;
+	}
+
+	.frame {
+		position: relative;
+		z-index: 1;
+		pointer-events: none;
+	}
+
+	/* 16:9 框: 宽度 80% 视口,SVG 内置 9:16 比例 (竖屏显示) */
+	.panorama-frame {
+		width: 80%;
+		height: auto;
+	}
+
+	/* ========== 错误层 ========== */
+	.error-layer {
+		position: absolute;
+		top: 50%;
+		left: 50%;
+		transform: translate(-50%, -50%);
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		padding: 40rpx;
+		background: rgba(0, 0, 0, 0.75);
+		border-radius: 16rpx;
+		max-width: 80%;
+		z-index: 2;
+	}
+
+	.error-text {
+		color: #fff;
+		font-size: 28rpx;
+		text-align: center;
+		margin-bottom: 24rpx;
+		line-height: 1.5;
+	}
+
+	.retry-btn {
+		padding: 12rpx 48rpx;
+		background: #FFD600;
+		color: #000;
+		border-radius: 32rpx;
+		font-size: 26rpx;
+		font-weight: bold;
+	}
+
+	/* ========== 底部控制 ========== */
+	.controls {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-around;
+		align-items: center;
+		padding: 40rpx 60rpx;
+		padding-bottom: calc(40rpx + env(safe-area-inset-bottom));
+		background: rgba(0, 0, 0, 0.7);
+	}
+
+	.ctrl-btn {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		background: transparent;
+		min-width: 120rpx;
+	}
+
+	.ctrl-icon {
+		color: #fff;
+		font-size: 40rpx;
+		line-height: 1;
+		margin-bottom: 8rpx;
+	}
+
+	.ctrl-label {
+		color: #ccc;
+		font-size: 22rpx;
+	}
+
+	.ctrl-btn-placeholder {
+		min-width: 120rpx;
+	}
+
+	.shutter {
+		width: 144rpx;
+		height: 144rpx;
+		border-radius: 50%;
+		background: rgba(255, 255, 255, 0.25);
+		border: 6rpx solid #fff;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+		box-shadow: 0 0 0 4rpx rgba(0, 0, 0, 0.3);
+	}
+
+	.shutter:active {
+		background: rgba(255, 255, 255, 0.4);
+		transform: scale(0.95);
+	}
+
+	.shutter-inner {
+		width: 110rpx;
+		height: 110rpx;
+		border-radius: 50%;
+		background: #fff;
+	}
+
+	/* ========== 预览层 ========== */
+	.preview {
+		position: absolute;
+		top: 0;
+		left: 0;
+		right: 0;
+		bottom: 0;
+		background: #000;
+		display: flex;
+		flex-direction: column;
+		justify-content: center;
+		align-items: center;
+		z-index: 100;
+	}
+
+	.preview-img {
+		width: 100%;
+		flex: 1;
+	}
+
+	.preview-actions {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-around;
+		width: 100%;
+		padding: 40rpx 60rpx;
+		padding-bottom: calc(40rpx + env(safe-area-inset-bottom));
+	}
+
+	.preview-btn {
+		flex: 1;
+		margin: 0 20rpx;
+		padding: 24rpx 0;
+		border-radius: 48rpx;
+		font-size: 30rpx;
+		font-weight: bold;
+	}
+
+	.preview-btn-cancel {
+		background: rgba(255, 255, 255, 0.2);
+		color: #fff;
+	}
+
+	.preview-btn-confirm {
+		background: #FFD600;
+		color: #000;
+	}
+</style>
\ No newline at end of file
diff --git a/ry-h5/pages/signin/index.uvue b/ry-h5/pages/signin/index.uvue
new file mode 100644
index 0000000..f93bdb9
--- /dev/null
+++ b/ry-h5/pages/signin/index.uvue
@@ -0,0 +1,299 @@
+<template>
+	<view class="camera-page">
+		<!-- 顶部导航 -->
+		<view class="topbar">
+			<view class="back-btn" @click="goBack">
+				<text class="back-icon">‹</text>
+			</view>
+			<text class="topbar-title">签到表取景 (A4)</text>
+			<view class="placeholder" />
+		</view>
+
+		<!-- 视频 + overlay -->
+		<view class="viewport">
+			<video
+				id="signin-video"
+				class="video"
+				autoplay
+				muted
+				playsinline
+			/>
+			<image
+				class="frame signin-frame"
+				src="/static/overlay/signin.svg"
+				mode="widthFix"
+			/>
+
+			<view v-if="errorMsg" class="error-layer">
+				<text class="error-text">{{ errorMsg }}</text>
+				<button class="retry-btn" @click="startCamera">重试</button>
+			</view>
+		</view>
+
+		<!-- 底部控制条 -->
+		<view class="controls">
+			<button class="ctrl-btn" @click="flipCamera">
+				<text class="ctrl-icon">⟲</text>
+				<text class="ctrl-label">翻转</text>
+			</button>
+
+			<view class="shutter" @click="takePhoto">
+				<view class="shutter-inner" />
+			</view>
+
+			<view class="ctrl-btn-placeholder" />
+		</view>
+
+		<!-- 拍照预览层 -->
+		<view v-if="captured" class="preview">
+			<image
+				class="preview-img"
+				:src="captured"
+				mode="aspectFit"
+			/>
+			<view class="preview-actions">
+				<button class="preview-btn preview-btn-cancel" @click="retake">
+					<text>重拍</text>
+				</button>
+				<button class="preview-btn preview-btn-confirm" @click="confirm">
+					<text>使用</text>
+				</button>
+			</view>
+		</view>
+	</view>
+</template>
+
+<script setup lang="uts">
+import { useCamera } from '@/composables/useCamera'
+
+const videoId = 'signin-video'
+const { captured, errorMsg, startCamera, flipCamera, takePhoto, retake, confirm } =
+	useCamera(videoId)
+
+function goBack() {
+	uni.navigateBack()
+}
+</script>
+
+<style>
+	.camera-page {
+		position: fixed;
+		top: 0;
+		left: 0;
+		right: 0;
+		bottom: 0;
+		background: transparent;
+		display: flex;
+		flex-direction: column;
+		overflow: hidden;
+		z-index: 3;
+	}
+
+	/* ========== 顶部导航 ========== */
+	.topbar {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-between;
+		align-items: center;
+		padding: 20rpx 30rpx;
+		padding-top: calc(20rpx + env(safe-area-inset-top));
+		background: rgba(0, 0, 0, 0.7);
+	}
+
+	.back-btn {
+		width: 80rpx;
+		height: 80rpx;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+	}
+
+	.back-icon {
+		color: #fff;
+		font-size: 60rpx;
+		font-weight: bold;
+	}
+
+	.topbar-title {
+		color: #fff;
+		font-size: 32rpx;
+		font-weight: bold;
+	}
+
+	.placeholder {
+		width: 80rpx;
+	}
+
+	/* ========== 视频取景区 ========== */
+	.viewport {
+		position: relative;
+		flex: 1;
+		overflow: hidden;
+		background: transparent;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+	}
+
+	.video {
+		position: absolute;
+		top: 0;
+		left: 0;
+		width: 100%;
+		height: 100%;
+		object-fit: cover;
+		z-index: 0;
+	}
+
+	.frame {
+		position: relative;
+		z-index: 1;
+		pointer-events: none;
+	}
+
+	/* A4 框: 宽度 90% 视口,SVG 内置 1:√2 比例 */
+	.signin-frame {
+		width: 90%;
+		height: auto;
+	}
+
+	/* ========== 错误层 ========== */
+	.error-layer {
+		position: absolute;
+		top: 50%;
+		left: 50%;
+		transform: translate(-50%, -50%);
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		padding: 40rpx;
+		background: rgba(0, 0, 0, 0.75);
+		border-radius: 16rpx;
+		max-width: 80%;
+		z-index: 2;
+	}
+
+	.error-text {
+		color: #fff;
+		font-size: 28rpx;
+		text-align: center;
+		margin-bottom: 24rpx;
+		line-height: 1.5;
+	}
+
+	.retry-btn {
+		padding: 12rpx 48rpx;
+		background: #FFD600;
+		color: #000;
+		border-radius: 32rpx;
+		font-size: 26rpx;
+		font-weight: bold;
+	}
+
+	/* ========== 底部控制 ========== */
+	.controls {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-around;
+		align-items: center;
+		padding: 40rpx 60rpx;
+		padding-bottom: calc(40rpx + env(safe-area-inset-bottom));
+		background: rgba(0, 0, 0, 0.7);
+	}
+
+	.ctrl-btn {
+		display: flex;
+		flex-direction: column;
+		align-items: center;
+		background: transparent;
+		min-width: 120rpx;
+	}
+
+	.ctrl-icon {
+		color: #fff;
+		font-size: 40rpx;
+		line-height: 1;
+		margin-bottom: 8rpx;
+	}
+
+	.ctrl-label {
+		color: #ccc;
+		font-size: 22rpx;
+	}
+
+	.ctrl-btn-placeholder {
+		min-width: 120rpx;
+	}
+
+	.shutter {
+		width: 144rpx;
+		height: 144rpx;
+		border-radius: 50%;
+		background: rgba(255, 255, 255, 0.25);
+		border: 6rpx solid #fff;
+		display: flex;
+		justify-content: center;
+		align-items: center;
+		box-shadow: 0 0 0 4rpx rgba(0, 0, 0, 0.3);
+	}
+
+	.shutter:active {
+		background: rgba(255, 255, 255, 0.4);
+		transform: scale(0.95);
+	}
+
+	.shutter-inner {
+		width: 110rpx;
+		height: 110rpx;
+		border-radius: 50%;
+		background: #fff;
+	}
+
+	/* ========== 预览层 ========== */
+	.preview {
+		position: absolute;
+		top: 0;
+		left: 0;
+		right: 0;
+		bottom: 0;
+		background: #000;
+		display: flex;
+		flex-direction: column;
+		justify-content: center;
+		align-items: center;
+		z-index: 100;
+	}
+
+	.preview-img {
+		width: 100%;
+		flex: 1;
+	}
+
+	.preview-actions {
+		display: flex;
+		flex-direction: row;
+		justify-content: space-around;
+		width: 100%;
+		padding: 40rpx 60rpx;
+		padding-bottom: calc(40rpx + env(safe-area-inset-bottom));
+	}
+
+	.preview-btn {
+		flex: 1;
+		margin: 0 20rpx;
+		padding: 24rpx 0;
+		border-radius: 48rpx;
+		font-size: 30rpx;
+		font-weight: bold;
+	}
+
+	.preview-btn-cancel {
+		background: rgba(255, 255, 255, 0.2);
+		color: #fff;
+	}
+
+	.preview-btn-confirm {
+		background: #FFD600;
+		color: #000;
+	}
+</style>
\ No newline at end of file
diff --git a/ry-h5/platformConfig.json b/ry-h5/platformConfig.json
new file mode 100644
index 0000000..46d14c7
--- /dev/null
+++ b/ry-h5/platformConfig.json
@@ -0,0 +1,5 @@
+{
+    "targets": [
+        "H5"
+    ]
+}
\ No newline at end of file
diff --git a/ry-h5/static/logo.png b/ry-h5/static/logo.png
new file mode 100644
index 0000000..b5771e2
Binary files /dev/null and b/ry-h5/static/logo.png differ
diff --git a/ry-h5/static/overlay/panorama.svg b/ry-h5/static/overlay/panorama.svg
new file mode 100644
index 0000000..0392b50
--- /dev/null
+++ b/ry-h5/static/overlay/panorama.svg
@@ -0,0 +1,18 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 1600" preserveAspectRatio="xMidYMid meet">
+	<!-- 16:9 框 — 在竖屏下显示为 9:16,宽度 80% 视口 -->
+	<rect x="40" y="40" width="820" height="1520" rx="20" fill="none" stroke="#00E676" stroke-width="6" stroke-dasharray="20 12"/>
+	<!-- 4 个角的定位标记 -->
+	<g stroke="#FFD600" stroke-width="6" fill="none">
+		<path d="M 80 80 L 80 130 M 80 80 L 130 80"/>
+		<path d="M 860 80 L 860 130 M 860 80 L 810 80"/>
+		<path d="M 80 1520 L 80 1470 M 80 1520 L 130 1520"/>
+		<path d="M 860 1520 L 860 1470 M 860 1520 L 810 1520"/>
+	</g>
+	<!-- 顶部标签 (正立显示,告诉用户当前画面用途) -->
+	<rect x="250" y="700" width="400" height="70" rx="35" fill="rgba(0,0,0,0.6)" stroke="#FFD600" stroke-width="3"/>
+	<text x="450" y="750" text-anchor="middle" fill="#FFD600" font-size="44" font-weight="bold">全景取景 (16:9)</text>
+	<!-- 中部: 当前实际显示比例提示 (正立,易读) -->
+	<text x="450" y="850" text-anchor="middle" fill="rgba(255,255,255,0.7)" font-size="28">当前显示 9 : 16</text>
+	<!-- 旋转 90° 提示 (视觉上暗示横屏拍摄效果更佳) -->
+	<text x="450" y="1300" text-anchor="middle" fill="rgba(255,255,255,0.85)" font-size="36" stroke="rgba(0,0,0,0.5)" stroke-width="1" transform="rotate(-90 450 1300)">建议横屏拍摄 · 横屏时为 16:9</text>
+</svg>
\ No newline at end of file
diff --git a/ry-h5/static/overlay/signin.svg b/ry-h5/static/overlay/signin.svg
new file mode 100644
index 0000000..823574b
--- /dev/null
+++ b/ry-h5/static/overlay/signin.svg
@@ -0,0 +1,16 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 1414" preserveAspectRatio="xMidYMid meet">
+	<!-- A4 比例外框 (1 : √2,210mm × 297mm) — 宽度 90% 视口 -->
+	<rect x="40" y="40" width="920" height="1334" rx="20" fill="none" stroke="#00E676" stroke-width="6" stroke-dasharray="20 12"/>
+	<!-- 4 个角的定位标记 (帮助对齐纸张角) -->
+	<g stroke="#FFD600" stroke-width="6" fill="none">
+		<path d="M 80 80 L 80 130 M 80 80 L 130 80"/>
+		<path d="M 920 80 L 920 130 M 920 80 L 870 80"/>
+		<path d="M 80 1334 L 80 1284 M 80 1334 L 130 1334"/>
+		<path d="M 920 1334 L 920 1284 M 920 1334 L 870 1334"/>
+	</g>
+	<!-- 顶部标签 -->
+	<rect x="300" y="600" width="400" height="70" rx="35" fill="rgba(0,0,0,0.6)" stroke="#FFD600" stroke-width="3"/>
+	<text x="500" y="650" text-anchor="middle" fill="#FFD600" font-size="44" font-weight="bold">A4 签到表</text>
+	<!-- 底部提示文字 -->
+	<text x="500" y="1310" text-anchor="middle" fill="#fff" font-size="36" stroke="rgba(0,0,0,0.5)" stroke-width="1">将签到表完整放入绿框</text>
+</svg>
\ No newline at end of file
diff --git a/ry-h5/uni.scss b/ry-h5/uni.scss
new file mode 100644
index 0000000..b9249e9
--- /dev/null
+++ b/ry-h5/uni.scss
@@ -0,0 +1,76 @@
+/**
+ * 这里是uni-app内置的常用样式变量
+ *
+ * uni-app 官方扩展插件及插件市场（https://ext.dcloud.net.cn）上很多三方插件均使用了这些样式变量
+ * 如果你是插件开发者，建议你使用scss预处理，并在插件代码中直接使用这些变量（无需 import 这个文件），方便用户通过搭积木的方式开发整体风格一致的App
+ *
+ */
+
+/**
+ * 如果你是App开发者（插件使用者），你可以通过修改这些变量来定制自己的插件主题，实现自定义主题功能
+ *
+ * 如果你的项目同样使用了scss预处理，你也可以直接在你的 scss 代码中使用如下变量，同时无需 import 这个文件
+ */
+
+/* 颜色变量 */
+
+/* 行为相关颜色 */
+$uni-color-primary: #007aff;
+$uni-color-success: #4cd964;
+$uni-color-warning: #f0ad4e;
+$uni-color-error: #dd524d;
+
+/* 文字基本颜色 */
+$uni-text-color:#333;//基本色
+$uni-text-color-inverse:#fff;//反色
+$uni-text-color-grey:#999;//辅助灰色，如加载更多的提示信息
+$uni-text-color-placeholder: #808080;
+$uni-text-color-disable:#c0c0c0;
+
+/* 背景颜色 */
+$uni-bg-color:#ffffff;
+$uni-bg-color-grey:#f8f8f8;
+$uni-bg-color-hover:#f1f1f1;//点击状态颜色
+$uni-bg-color-mask:rgba(0, 0, 0, 0.4);//遮罩颜色
+
+/* 边框颜色 */
+$uni-border-color:#c8c7cc;
+
+/* 尺寸变量 */
+
+/* 文字尺寸 */
+$uni-font-size-sm:12px;
+$uni-font-size-base:14px;
+$uni-font-size-lg:16px;
+
+/* 图片尺寸 */
+$uni-img-size-sm:20px;
+$uni-img-size-base:26px;
+$uni-img-size-lg:40px;
+
+/* Border Radius */
+$uni-border-radius-sm: 2px;
+$uni-border-radius-base: 3px;
+$uni-border-radius-lg: 6px;
+$uni-border-radius-circle: 50%;
+
+/* 水平间距 */
+$uni-spacing-row-sm: 5px;
+$uni-spacing-row-base: 10px;
+$uni-spacing-row-lg: 15px;
+
+/* 垂直间距 */
+$uni-spacing-col-sm: 4px;
+$uni-spacing-col-base: 8px;
+$uni-spacing-col-lg: 12px;
+
+/* 透明度 */
+$uni-opacity-disabled: 0.3; // 组件禁用态的透明度
+
+/* 文章场景相关 */
+$uni-color-title: #2C405A; // 文章标题颜色
+$uni-font-size-title:20px;
+$uni-color-subtitle: #555555; // 二级标题颜色
+$uni-font-size-subtitle:26px;
+$uni-color-paragraph: #3F536E; // 文章段落颜色
+$uni-font-size-paragraph:15px;
diff --git a/ry-h5/utils/camera.ts b/ry-h5/utils/camera.ts
new file mode 100644
index 0000000..bcfaed7
--- /dev/null
+++ b/ry-h5/utils/camera.ts
@@ -0,0 +1,138 @@
+/**
+ * 摄像头工具 (H5 only)
+ *
+ * - openCamera(video, facing): 申请摄像头权限并把实时流挂到 <video>
+ * - stopCamera(video): 停掉所有轨道
+ * - captureFrame(video): 截当前帧为 JPEG Base64
+ * - describeCameraError(err): 错误码转中文提示
+ */
+export type Facing = 'user' | 'environment'
+
+export async function openCamera(video: HTMLVideoElement, facing: Facing): Promise<void> {
+	if (!navigator.mediaDevices?.getUserMedia) {
+		throw new Error('当前浏览器不支持摄像头访问,请升级浏览器或使用 Chrome / Safari')
+	}
+
+	// 先停掉旧的 stream,防止多 stream 冲突
+	stopCamera(video)
+
+	const constraints: MediaStreamConstraints = {
+		audio: false,
+		video: {
+			facingMode: { ideal: facing },
+			width: { ideal: 1920 },
+			height: { ideal: 1080 },
+		},
+	}
+
+	let stream: MediaStream
+	try {
+		stream = await navigator.mediaDevices.getUserMedia(constraints)
+	} catch (err) {
+		// facingMode 不被支持时降级为不指定
+		if ((err as DOMException)?.name === 'OverconstrainedError') {
+			stream = await navigator.mediaDevices.getUserMedia({
+				audio: false,
+				video: true,
+			})
+		} else {
+			throw err
+		}
+	}
+
+	// 三重保险赋值 srcObject:
+//   1. 直接赋值 (标准做法)
+//   2. 100ms 后若 readyState 仍 0,强制 Object.defineProperty
+//   3. 还不行就 src=blobURL (老 API,兼容性最广)
+video.srcObject = stream
+console.log('[camera] 第1次赋值 srcObject, readyState:', video.readyState, 'isStream:', video.srcObject === stream)
+
+// iOS 必须: 不加 playsinline 会弹原生全屏播放器
+video.setAttribute('playsinline', 'true')
+// iOS 必须: 不静音黑屏 (否则 iOS 拒绝播放)
+video.muted = true
+
+const fallbackTimer = setTimeout(() => {
+	if (video.readyState < 1) {
+		console.warn('[camera] srcObject 没生效,尝试 Object.defineProperty 强写')
+		try {
+			Object.defineProperty(video, 'srcObject', {
+				value: stream,
+				writable: true,
+				configurable: true,
+			})
+			console.log('[camera] defineProperty 后 srcObject isStream:', video.srcObject === stream)
+		} catch (e) {
+			console.error('[camera] defineProperty 也失败:', e)
+		}
+		// 再兜底: src=blobURL
+		if (video.readyState < 1) {
+			console.warn('[camera] 仍 readyState 0,改用 src=blobURL')
+			try {
+				video.src = URL.createObjectURL(stream)
+			} catch (e) {
+				console.error('[camera] blobURL 兜底失败:', e)
+			}
+		}
+	}
+}, 100)
+
+video.addEventListener(
+	'loadedmetadata',
+	() => {
+		clearTimeout(fallbackTimer)
+		console.log('[camera] loadedmetadata 触发, readyState:', video.readyState, 'isStream:', video.srcObject === stream)
+	},
+	{ once: true }
+)
+
+// 不手动调 video.play():
+//   1. UTS 把 HTMLVideoElement.play() 类型当 void,链式 .catch 会报 undefined.catch
+//   2. <video autoplay muted playsinline> + srcObject 已让浏览器自动起流
+// 若某些浏览器不自动播放,在用户点击 shutter 等交互中再触发 play()
+}
+
+export function stopCamera(video: HTMLVideoElement): void {
+	const obj = video.srcObject as MediaStream | null
+	if (obj) {
+		obj.getTracks().forEach((t) => t.stop())
+		video.srcObject = null
+	}
+}
+
+export function captureFrame(video: HTMLVideoElement): string {
+	const w = video.videoWidth || video.clientWidth
+	const h = video.videoHeight || video.clientHeight
+	if (!w || !h) {
+		throw new Error('视频流尚未就绪,无法截图')
+	}
+	const canvas = document.createElement('canvas')
+	canvas.width = w
+	canvas.height = h
+	const ctx = canvas.getContext('2d')
+	if (!ctx) throw new Error('无法获取 canvas 2D 上下文')
+	ctx.drawImage(video, 0, 0, w, h)
+	return canvas.toDataURL('image/jpeg', 0.85)
+}
+
+export function describeCameraError(err: unknown): string {
+	const name = (err as DOMException)?.name || ''
+	switch (name) {
+		case 'NotAllowedError':
+		case 'PermissionDeniedError':
+			return '请在浏览器设置中允许使用摄像头权限'
+		case 'NotFoundError':
+		case 'DevicesNotFoundError':
+			return '未检测到摄像头设备'
+		case 'NotReadableError':
+		case 'TrackStartError':
+			return '摄像头被其他程序占用,请关闭后重试'
+		case 'OverconstrainedError':
+		case 'ConstraintNotSatisfiedError':
+			return '摄像头参数不支持,已自动降级'
+		case 'SecurityError':
+			return '请通过 HTTPS 或 localhost 访问以使用摄像头'
+		default:
+			return '打开摄像头失败:' + ((err as Error)?.message || String(err))
+	}
+}
\ No newline at end of file
diff --git a/ry-ocr-java/.gitignore b/ry-ocr-java/.gitignore
new file mode 100644
index 0000000..a5a7c64
--- /dev/null
+++ b/ry-ocr-java/.gitignore
@@ -0,0 +1,38 @@
+# 构建产物
+target/
+build/
+*.class
+*.jar
+*.war
+hs_err_pid*.log
+.mvn/
+
+# IDE
+.idea/
+.vscode/
+*.iml
+*.iws
+*.ipr
+.project
+.classpath
+.settings/
+
+# ONNX 模型目录 — 不进 git, 由 README 引导下载/导出
+# 当前默认放 v4_mobile ONNX (15MB) 在 src/main/resources/models/
+# 切其他模型版本时改 application.yml 的 app.ocr.models-dir + model-version
+models/
+models_*/
+src/main/resources/models/
+src/main/resources/models_*/
+src/main/resources/models_mobile/
+src/main/resources/models_v5_server/
+src/main/resources/models_v4_mobile/
+
+# Python paddle 模型临时目录 (转 ONNX 用)
+*.tar
+paddle_*/
+ch_PP-OCRv*/
+
+# 系统
+.DS_Store
+Thumbs.db
diff --git a/ry-ocr-java/README.md b/ry-ocr-java/README.md
new file mode 100644
index 0000000..f41d7fb
--- /dev/null
+++ b/ry-ocr-java/README.md
@@ -0,0 +1,373 @@
+# ry-ocr-java — 本地发票识别服务 (Spring Boot 版)
+
+基于 **PaddleOCR ONNX Runtime + Spring Boot 3.3** 的本地部署发票识别微服务，
+**完全对齐** Python 版 [ry-ocr](../ry-ocr) 的接口契约与业务逻辑。
+
+完全离线运行，无任何云依赖，适合内网 / 等保环境。
+
+服务默认监听 `0.0.0.0:8802`，在线文档：`http://localhost:8802/swagger-ui.html`
+
+---
+
+## 与 ry-ocr (Python) 的关系
+
+| 维度 | ry-ocr (Python) | ry-ocr-java |
+|---|---|---|
+| 端口 | 8801 | **8802** |
+| Web 框架 | FastAPI | Spring Boot 3.3 |
+| OCR 引擎 | PaddleOCR 3.x (Python) | PaddleOCR ONNX Runtime (Java 推理) |
+| QR 解码 | OpenCV `QRCodeDetector` | ZXing |
+| PDF 渲染 | PyMuPDF (fitz) | Apache PDFBox |
+| 中文金额 | cn2an (Python 库) | 自实现简化版 |
+| 接口路径 | 完全一致 | 完全一致 |
+| 响应字段名 | snake_case | snake_case (与 Python 一致) |
+| 错误码 | 一致 | 一致 |
+
+可与 ry-ocr **并列部署**，互不冲突；测试通过后再决定切换。
+
+---
+
+## 0. TL;DR
+
+| 接口 | 用途 | 鉴权 |
+|---|---|---|
+| `GET /health` | 健康检查 | 无 |
+| `POST /recognize/invoice` | 上传文件识别 (multipart) | 无 |
+| `POST /recognize/invoice/by-path` | 服务器本地路径识别 (JSON) | 白名单 |
+| `POST /recognize/text` | 纯文本字段抽取 (跳过 OCR) | 无 |
+
+**识别流程**（默认 `app.ocr.qr-full-ocr=true`）：
+```
+文件 → PDF/图片 → 扫 QR (ZXing) → 解出 3 字段?
+  ├─ 是 + fast mode   → 直接返回 (engine="qr", 跳过 OCR)
+  ├─ 是 + full mode   → 继续 OCR + 抽取, QR 字段覆盖 OCR 结果
+  └─ 否 / 格式不合法  → 直接 not_invoice, 不跑 OCR
+```
+
+---
+
+## 1. 快速启动
+
+### 前置条件
+
+- JDK 17+
+- Maven 3.9+
+- ONNX 模型文件 (详见 [src/main/resources/models/README.md](src/main/resources/models/README.md))
+
+### 启动
+
+```bash
+cd ry-ocr-java
+mvn spring-boot:run            # → http://127.0.0.1:8802
+```
+
+### Docker (TODO)
+
+```bash
+docker build -t ry-ocr-java .
+docker run -p 8802:8802 ry-ocr-java
+```
+
+---
+
+## 2. 配置项 (`application.yml`)
+
+| 配置项 | 默认 | 说明 |
+|---|---|---|
+| `server.port` | `8802` | 监听端口 |
+| `app.version` | `0.1.0` | 服务版本 (与 /health.version 对应) |
+| `app.upload.max-mb` | `20` | 上传接口单文件最大体积 |
+| `app.upload.pdf-dpi` | `150` | PDF 转图片 DPI (扫描件建议 250~300) |
+| `app.ocr.page-timeout-s` | `15` | 单页 OCR 超时 |
+| `app.ocr.total-timeout-s` | `60` | 整流程超时 |
+| **`app.ocr.qr-full-ocr`** | **`true`** | QR 命中后是否继续跑全量 OCR |
+| `app.ocr.lang` | `ch` | OCR 语言 (ch/en/chinese_cht) |
+| `app.ocr.models-dir` | `models` | 模型目录 (相对/绝对) |
+| `app.allowed-dirs` | `""` | `by-path` 接口允许的根目录, 空 = 禁用 |
+
+**`qr-full-ocr` 双模式：**
+
+| 取值 | 行为 |
+|---|---|
+| `true` | QR 命中 → 12 字段全抽取 (QR 3 字段覆盖 OCR) ← 默认 |
+| `false` | QR 命中 → 仅返回 3 字段, 跳过 OCR (从 4.5s 降到 0.2s) |
+
+`app.allowed-dirs` 格式：
+
+```yaml
+app:
+  allowed-dirs:
+    - "E:\\gitee\\guoju-hegui"
+    - "D:\\uploads"
+# 或单字符串 (Windows 分号, Linux 冒号):
+app:
+  allowed-dirs: "E:\\gitee\\guoju-hegui;D:\\uploads"
+```
+
+---
+
+## 3. 接口详解
+
+### 3.1 `GET /health`
+
+健康检查。检查 OCR 引擎是否就绪。
+
+**响应 200：**
+```json
+{
+  "status": "ok",
+  "version": "0.1.0",
+  "engine_ready": true
+}
+```
+
+`engine_ready=false` → 服务降级但仍能响应，建议先排查 ONNX 模型加载问题。
+`/recognize/text` 接口不依赖引擎，仍可用。
+
+---
+
+### 3.2 `POST /recognize/invoice`
+
+multipart/form-data 上传发票图片或 PDF。
+
+**请求：**
+| 字段 | 类型 | 必填 | 说明 |
+|---|---|---|---|
+| `file` | file | ✅ | 图片 (PNG/JPG/JPEG/BMP/WEBP/TIFF) 或 PDF |
+
+**curl：**
+```bash
+curl -X POST http://localhost:8802/recognize/invoice \
+  -F "file=@/path/to/invoice.pdf"
+```
+
+**错误码：**
+| HTTP | 场景 |
+|---|---|
+| 400 | 文件为空 |
+| 413 | 文件超过 `max-mb` 限制 |
+
+**响应** — `InvoiceResult` 见 §4。
+
+---
+
+### 3.3 `POST /recognize/invoice/by-path`
+
+传入**服务器本地路径**识别，避免重复上传大文件。
+
+> ⚠️ **安全**：路径必须在 `app.allowed-dirs` 白名单内才会被执行。
+> `app.allowed-dirs` 为空时整个接口 403（默认禁用）。
+
+**请求体 (`PathRecognizeRequest`)：**
+```json
+{
+  "file_path": "E:/invoice/abc.pdf"
+}
+```
+
+> 注: JSON 字段名是 `file_path` (snake_case, 与 Python ry-ocr 完全一致).
+
+| 字段 | 类型 | 必填 | 说明 |
+|---|---|---|---|
+| `file_path` | string | ✅ | 服务器本地绝对路径（正反斜杠均可） |
+
+**curl：**
+```bash
+curl -X POST http://localhost:8802/recognize/invoice/by-path \
+  -H "Content-Type: application/json" \
+  -d '{"file_path": "E:/gitee/guoju-hegui/guoju0808/ry-ocr/fapiao.pdf"}'
+```
+
+**错误码：**
+| HTTP | 场景 |
+|---|---|
+| 403 | 路径不在白名单, 或白名单未配置 |
+| 404 | 文件不存在 |
+| 400 | 不是文件 (路径是目录) |
+
+---
+
+### 3.4 `POST /recognize/text`
+
+纯文本字段抽取，**不调用 OCR**。便于接入其他识别引擎（百度/腾讯/扫描件 OCR SDK 等）。
+
+**Query 参数：**
+| 参数 | 类型 | 必填 | 说明 |
+|---|---|---|---|
+| `raw_text` | string | ✅ | OCR 原始文本 (多行用 `\n` 分隔) |
+
+**curl：**
+```bash
+curl -X POST 'http://localhost:8802/recognize/text?raw_text=电子发票%0A发票号码：24922000000006110014%0A价税合计（大写）叁万玖仟伍佰圆整%0A（小写）%EF%BF%A539500.00'
+```
+
+**响应：** `{"fields": {...InvoiceFields}}`
+
+---
+
+## 4. 响应模型
+
+### 4.1 `InvoiceResult` (主响应)
+
+| 字段 | 类型 | 说明 |
+|---|---|---|
+| `success` | bool | 整体是否成功 |
+| `is_invoice` | bool | 是否被判定为发票 (false=非发票) |
+| `raw_text` | string | 全部 OCR 文本拼接 (快路径为 `[QR only] ...`) |
+| `lines` | OCRLine[] | 分行识别结果 |
+| `fields` | InvoiceFields | 结构化字段 |
+| `page_count` | int | PDF 页数 / 图片=1 |
+| `engine` | string | `paddleocr` / `qr` |
+| `elapsed_ms` | int | 服务端识别耗时 (毫秒) |
+| `error` | string? | 失败原因描述 |
+| `error_code` | string? | 见 §4.4 错误码表 |
+| `from_qr` | bool | 是否从 QR 取到了 3 个核心字段 |
+| `qr_raw` | string? | 二维码原始文本 (排查用) |
+| `qr_error` | string? | `no_qr` / `bad_format` |
+
+### 4.2 `InvoiceFields` (fields 子对象)
+
+| 字段 | 类型 | 来源 |
+|---|---|---|
+| `invoice_type` | string? | OCR: "电子发票"/"增值税专用发票"等 |
+| `invoice_no` | string? | **QR (权威)** / OCR |
+| `invoice_code` | string? | OCR (数电票此字段为空) |
+| `invoice_date` | string (YYYY-MM-DD) | **QR (权威)** / OCR |
+| `amount` | float? | **QR (权威)** / OCR — 价税合计小写 |
+| `amount_cn` | string? | OCR — 价税合计大写 |
+| `amount_pretax` | float? | OCR — 不含税金额 |
+| `tax_amount` | float? | OCR — 税额 |
+| `seller_name` | string? | OCR |
+| `seller_tax_no` | string? | OCR |
+| `buyer_name` | string? | OCR |
+| `buyer_tax_no` | string? | OCR |
+| `amount_match` | bool? | 大写金额 vs 小写金额一致性 |
+
+### 4.3 `OCRLine`
+
+```json
+{
+  "text": "发票号码：24922000000006110014",
+  "confidence": 0.998,
+  "box": [[915, 67], [1191, 67], [1191, 83], [915, 83]]
+}
+```
+
+### 4.4 `error_code` 表
+
+| 取值 | 含义 | 触发场景 |
+|---|---|---|
+| `not_invoice` | 非发票 | QR 没扫到 / 格式不合法 |
+| `unsupported` | 不支持的文件类型 | 后缀不是 PDF/图片 |
+| `process_failed` | 处理失败 | PDF 渲染异常等 |
+| `timeout` | 超时 | 达到单页/总流程超时 |
+| `ocr_failed` | OCR 异常 | ONNX 推理内部错误 |
+
+---
+
+## 5. 错误码速查
+
+调用方拿到响应后建议这样分流：
+
+```java
+if (!resp.isSuccess()) {
+    if ("not_invoice".equals(resp.getErrorCode())) {
+        // 不是发票 — 直接告诉用户"请上传发票图片"
+    } else if ("timeout".equals(resp.getErrorCode())) {
+        // 超时 — 建议重试 / 提高 DPI
+    } else if ("unsupported".equals(resp.getErrorCode())
+            || "process_failed".equals(resp.getErrorCode())) {
+        // 文件问题 — 提示格式
+    } else {
+        // 其他 OCR 异常 — 兜底
+    }
+}
+
+if (Boolean.FALSE.equals(resp.getIsInvoice())) {
+    // 跟 not_invoice 等价 — 多数情况下 success=False 也伴随 is_invoice=False
+}
+```
+
+---
+
+## 6. Java 客户端调用 (hutool)
+
+```java
+@Service
+public class InvoiceOcrService {
+
+    private final OcrClient ocrClient = new OcrClient("http://127.0.0.1:8802");
+
+    public InvoiceResult recognize(MultipartFile file) {
+        File tmp;
+        try {
+            tmp = File.createTempFile("inv_", "_" + file.getOriginalFilename());
+            file.transferTo(tmp);
+        } catch (IOException e) {
+            throw new RuntimeException("保存临时文件失败", e);
+        }
+        try {
+            InvoiceResult r = ocrClient.recognize(tmp);
+            if (!Boolean.TRUE.equals(r.getSuccess())) {
+                throw new RuntimeException("OCR 识别失败: " + r.getError());
+            }
+            return r;
+        } finally {
+            tmp.delete();
+        }
+    }
+}
+```
+
+> 客户端类 (`OcrClient` / `InvoiceResult` / `InvoiceFields` / `OcrLine`) 直接复用
+> `ry-ocr/client/*.java`，只需改 baseUrl 为 `http://127.0.0.1:8802`。
+>
+> 注意: 由于 Java 客户端使用 camelCase (`getInvoiceNo`) 解析 JSON,
+> 而服务端返回 snake_case (`invoice_no`), 现有客户端需要适配字段名。
+> 详见 `ry-ocr-java` 与 `ry-api` 的字段映射对照。
+
+---
+
+## 7. 项目结构
+
+```
+ry-ocr-java/
+├── pom.xml
+└── src/main/
+    ├── java/com/ruoyi/ocr/
+    │   ├── OcrApplication.java               # Spring Boot 入口
+    │   ├── config/OcrProperties.java         # @ConfigurationProperties("app")
+    │   ├── api/OcrController.java            # 4 个 REST 接口
+    │   ├── core/
+    │   │   ├── OcrEngine.java                # ONNX Runtime + 单例 + 超时
+    │   │   ├── TextDetector.java             # DB 检测
+    │   │   ├── TextRecognizer.java           # CRNN 识别
+    │   │   ├── DbPostProcessor.java          # DB 后处理 (box 提取)
+    │   │   ├── CtcDecoder.java               # CTC 解码
+    │   │   ├── Dictionary.java               # 字典加载
+    │   │   ├── PdfProcessor.java             # PDFBox 渲染
+    │   │   └── ImageProcessor.java           # Java 2D 旋转/增强
+    │   ├── model/                             # 5 个 DTO + QrDecodeResult
+    │   ├── service/
+    │   │   ├── QrDecoder.java                # ZXing + 8 字段解析
+    │   │   ├── InvoiceExtractor.java         # 正则 + box 坐标归属
+    │   │   └── RecognizeService.java         # 端到端流水线
+    │   ├── util/AmountUtils.java             # cn2an 简化版 + 金额正则
+    │   └── exception/OcrTimeoutException.java
+    └── resources/
+        ├── application.yml
+        └── models/                            # ONNX 模型 (需手动放)
+```
+
+---
+
+## 8. 局限 & 后续
+
+- **无 QR 的老式纸质发票** 当前会判 `not_invoice` — 需新增「无 QR 回退 OCR」配置项
+- **表格明细** (货物/数量/单价) 未抽取 — 需要时接 PP-Structure
+- **字段抽取基于正则**，对版式变化敏感
+- **DB 后处理简化**：Java 版用 bounding box + unclip 替代 PaddleOCR 原始的
+  polygon + findContours；精度可能略低，可后续替换
+- **并发**：ONNX Runtime 内部串行推理；HTTP 层 Tomcat 默认 200 线程
+- **客户端字段映射**：现有 Java `OcrClient` 用 camelCase 解析 JSON，需适配
+  snake_case 字段名（建议字段名都改成 @JsonProperty 显式标注）
diff --git a/ry-ocr-java/pom.xml b/ry-ocr-java/pom.xml
new file mode 100644
index 0000000..4053fc6
--- /dev/null
+++ b/ry-ocr-java/pom.xml
@@ -0,0 +1,148 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+
+    <groupId>com.ruoyi</groupId>
+    <artifactId>ry-ocr-java</artifactId>
+    <version>0.1.0</version>
+    <name>ry-ocr-java</name>
+    <description>本地发票识别服务 (PaddleOCR ONNX Runtime + Spring Boot) — 1:1 移植自 ry-ocr Python</description>
+
+    <properties>
+        <java.version>17</java.version>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
+        <spring-boot.version>3.3.5</spring-boot.version>
+        <onnxruntime.version>1.20.0</onnxruntime.version>
+        <zxing.version>3.5.3</zxing.version>
+        <pdfbox.version>2.0.31</pdfbox.version>
+        <hutool.version>5.8.27</hutool.version>
+        <lombok.version>1.18.30</lombok.version>
+        <springdoc.version>2.6.0</springdoc.version>
+    </properties>
+
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>org.springframework.boot</groupId>
+                <artifactId>spring-boot-dependencies</artifactId>
+                <version>${spring-boot.version}</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
+
+    <dependencies>
+        <!-- Web -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
+
+        <!-- Bean Validation -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-validation</artifactId>
+        </dependency>
+
+        <!-- ONNX Runtime (PaddleOCR 推理) -->
+        <dependency>
+            <groupId>com.microsoft.onnxruntime</groupId>
+            <artifactId>onnxruntime</artifactId>
+            <version>${onnxruntime.version}</version>
+        </dependency>
+
+        <!-- ZXing QR 二维码解码 -->
+        <dependency>
+            <groupId>com.google.zxing</groupId>
+            <artifactId>core</artifactId>
+            <version>${zxing.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>com.google.zxing</groupId>
+            <artifactId>javase</artifactId>
+            <version>${zxing.version}</version>
+        </dependency>
+
+        <!-- PDFBox PDF 渲染 -->
+        <dependency>
+            <groupId>org.apache.pdfbox</groupId>
+            <artifactId>pdfbox</artifactId>
+            <version>${pdfbox.version}</version>
+        </dependency>
+
+        <!-- Hutool (JSON/IO/Date 工具) -->
+        <dependency>
+            <groupId>cn.hutool</groupId>
+            <artifactId>hutool-all</artifactId>
+            <version>${hutool.version}</version>
+        </dependency>
+
+        <!-- springdoc-openapi (Swagger UI /docs) -->
+        <dependency>
+            <groupId>org.springdoc</groupId>
+            <artifactId>springdoc-openapi-starter-webmvc-ui</artifactId>
+            <version>${springdoc.version}</version>
+        </dependency>
+
+        <!-- Lombok -->
+        <dependency>
+            <groupId>org.projectlombok</groupId>
+            <artifactId>lombok</artifactId>
+            <version>${lombok.version}</version>
+            <scope>provided</scope>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <finalName>ry-ocr-java</finalName>
+        <plugins>
+            <plugin>
+                <groupId>org.springframework.boot</groupId>
+                <artifactId>spring-boot-maven-plugin</artifactId>
+                <version>${spring-boot.version}</version>
+                <configuration>
+                    <mainClass>com.ruoyi.ocr.OcrApplication</mainClass>
+                </configuration>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>${java.version}</source>
+                    <target>${java.version}</target>
+                    <encoding>${project.build.sourceEncoding}</encoding>
+                </configuration>
+            </plugin>
+        </plugins>
+    </build>
+
+    <repositories>
+        <repository>
+            <id>public</id>
+            <name>aliyun nexus</name>
+            <url>https://maven.aliyun.com/repository/public</url>
+            <releases>
+                <enabled>true</enabled>
+            </releases>
+        </repository>
+    </repositories>
+
+    <pluginRepositories>
+        <pluginRepository>
+            <id>public</id>
+            <name>aliyun nexus</name>
+            <url>https://maven.aliyun.com/repository/public</url>
+            <releases>
+                <enabled>true</enabled>
+            </releases>
+            <snapshots>
+                <enabled>false</enabled>
+            </snapshots>
+        </pluginRepository>
+    </pluginRepositories>
+
+</project>
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/OcrApplication.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/OcrApplication.java
new file mode 100644
index 0000000..f727df1
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/OcrApplication.java
@@ -0,0 +1,19 @@
+package com.ruoyi.ocr;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+import org.springframework.boot.context.properties.ConfigurationPropertiesScan;
+
+/**
+ * ry-ocr-java 入口
+ * <p>
+ * 默认端口 8802 (与 ry-ocr Python 8801 并列部署, 不冲突).
+ */
+@SpringBootApplication
+@ConfigurationPropertiesScan("com.ruoyi.ocr.config")
+public class OcrApplication {
+
+    public static void main(String[] args) {
+        SpringApplication.run(OcrApplication.class, args);
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/GlobalExceptionHandler.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/GlobalExceptionHandler.java
new file mode 100644
index 0000000..fdb2e88
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/GlobalExceptionHandler.java
@@ -0,0 +1,85 @@
+package com.ruoyi.ocr.api;
+
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.ResponseEntity;
+import org.springframework.http.converter.HttpMessageNotReadableException;
+import org.springframework.validation.FieldError;
+import org.springframework.web.bind.MethodArgumentNotValidException;
+import org.springframework.web.bind.annotation.ExceptionHandler;
+import org.springframework.web.bind.annotation.RestControllerAdvice;
+import org.springframework.web.multipart.MaxUploadSizeExceededException;
+import org.springframework.web.multipart.support.MissingServletRequestPartException;
+
+import java.util.Map;
+import java.util.stream.Collectors;
+
+/**
+ * 全局异常处理 — 把 Spring 内部异常翻译为 ry-ocr 一致的 HTTP 码
+ */
+@Slf4j
+@RestControllerAdvice
+public class GlobalExceptionHandler {
+
+    /**
+     * 上传文件超过 Spring max-file-size → 413
+     */
+    @ExceptionHandler(MaxUploadSizeExceededException.class)
+    public ResponseEntity<?> handleUploadTooLarge(MaxUploadSizeExceededException e) {
+        return ResponseEntity.status(HttpStatus.PAYLOAD_TOO_LARGE)
+                .body(Map.of("detail", "文件超过大小限制"));
+    }
+
+    /**
+     * @Valid 校验失败 → 400
+     */
+    @ExceptionHandler(MethodArgumentNotValidException.class)
+    public ResponseEntity<?> handleValidation(MethodArgumentNotValidException e) {
+        String msg = e.getBindingResult().getFieldErrors().stream()
+                .map(fe -> fe.getField() + ": " + fe.getDefaultMessage())
+                .collect(Collectors.joining("; "));
+        return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                .body(Map.of("detail", msg.isEmpty() ? "参数校验失败" : msg));
+    }
+
+    /**
+     * JSON 解析失败 → 400
+     */
+    @ExceptionHandler(HttpMessageNotReadableException.class)
+    public ResponseEntity<?> handleBadJson(HttpMessageNotReadableException e) {
+        return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                .body(Map.of("detail", "请求体格式错误: " + (e.getMostSpecificCause() == null ? e.getMessage() : e.getMostSpecificCause().getMessage())));
+    }
+
+    /**
+     * multipart 缺 file 字段 → 400
+     */
+    @ExceptionHandler(MissingServletRequestPartException.class)
+    public ResponseEntity<?> handleMissingPart(MissingServletRequestPartException e) {
+        return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                .body(Map.of("detail", "缺少请求字段: " + e.getRequestPartName()));
+    }
+
+    /**
+     * OCR 引擎未就绪 → 503
+     */
+    @ExceptionHandler(IllegalStateException.class)
+    public ResponseEntity<?> handleEngineNotReady(IllegalStateException e) {
+        if (e.getMessage() != null && e.getMessage().contains("OCR 引擎未就绪")) {
+            return ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE)
+                    .body(Map.of("detail", e.getMessage()));
+        }
+        return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR)
+                .body(Map.of("detail", "内部错误: " + e.getMessage()));
+    }
+
+    /**
+     * 兜底
+     */
+    @ExceptionHandler(Exception.class)
+    public ResponseEntity<?> handleAny(Exception e) {
+        log.error("未处理异常", e);
+        return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR)
+                .body(Map.of("detail", "内部错误: " + e.getClass().getSimpleName() + " - " + e.getMessage()));
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/OcrController.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/OcrController.java
new file mode 100644
index 0000000..7e8fcc9
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/api/OcrController.java
@@ -0,0 +1,181 @@
+package com.ruoyi.ocr.api;
+
+import com.ruoyi.ocr.config.OcrProperties;
+import com.ruoyi.ocr.core.OcrEngine;
+import com.ruoyi.ocr.model.HealthResponse;
+import com.ruoyi.ocr.model.InvoiceFields;
+import com.ruoyi.ocr.model.InvoiceResult;
+import com.ruoyi.ocr.model.PathRecognizeRequest;
+import com.ruoyi.ocr.service.InvoiceExtractor;
+import com.ruoyi.ocr.service.RecognizeService;
+import jakarta.validation.Valid;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.*;
+import org.springframework.web.multipart.MultipartFile;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * OCR REST 控制器 — 对齐 Python app.api.routes
+ * <p>
+ * 4 个接口:
+ *   - GET  /health
+ *   - POST /recognize/invoice          (multipart file)
+ *   - POST /recognize/invoice/by-path  (JSON {file_path}, 路径白名单)
+ *   - POST /recognize/text             (Query: raw_text, 仅字段抽取)
+ */
+@Slf4j
+@RestController
+@RequiredArgsConstructor
+public class OcrController {
+
+    private final OcrProperties props;
+    private final OcrEngine ocrEngine;
+    private final RecognizeService recognizeService;
+    private final InvoiceExtractor extractor;
+
+    // ---------- /health ----------
+
+    @GetMapping("/health")
+    public HealthResponse health() {
+        return new HealthResponse(
+                ocrEngine.isReady() ? "ok" : "degraded",
+                props.getVersion(),
+                ocrEngine.isReady()
+        );
+    }
+
+    // ---------- /recognize/invoice (multipart) ----------
+
+    @PostMapping(value = "/recognize/invoice", consumes = MediaType.MULTIPART_FORM_DATA_VALUE)
+    public ResponseEntity<?> recognizeInvoice(@RequestParam("file") MultipartFile file) {
+        if (file.isEmpty()) {
+            return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                    .body(Map.of("detail", "文件为空"));
+        }
+        long maxBytes = (long) props.getUpload().getMaxMb() * 1024 * 1024;
+        if (file.getSize() > maxBytes) {
+            return ResponseEntity.status(HttpStatus.PAYLOAD_TOO_LARGE)
+                    .body(Map.of("detail", "文件超过 " + props.getUpload().getMaxMb() + "MB 限制"));
+        }
+        try {
+            byte[] content = file.getBytes();
+            InvoiceResult r = recognizeService.recognizeFile(file.getOriginalFilename(), content);
+            return ResponseEntity.ok(r);
+        } catch (Exception e) {
+            log.error("recognize 失败", e);
+            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR)
+                    .body(Map.of("detail", "识别失败: " + e.getMessage()));
+        }
+    }
+
+    // ---------- /recognize/invoice/by-path (JSON, 白名单) ----------
+
+    @PostMapping(value = "/recognize/invoice/by-path",
+            consumes = MediaType.APPLICATION_JSON_VALUE)
+    public ResponseEntity<?> recognizeByPath(@Valid @RequestBody PathRecognizeRequest req) {
+        Path p;
+        try {
+            p = Paths.get(req.getFilePath());
+        } catch (Exception e) {
+            return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                    .body(Map.of("detail", "路径无效: " + e.getMessage()));
+        }
+        // 白名单校验
+        ResponseEntity<?> guard = checkPathAllowed(p);
+        if (guard != null) return guard;
+
+        if (!Files.exists(p)) {
+            return ResponseEntity.status(HttpStatus.NOT_FOUND)
+                    .body(Map.of("detail", "文件不存在: " + p));
+        }
+        if (!Files.isRegularFile(p)) {
+            return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                    .body(Map.of("detail", "不是文件: " + p));
+        }
+        InvoiceResult r = recognizeService.recognizePath(p, false);
+        return ResponseEntity.ok(r);
+    }
+
+    // ---------- /recognize/text (Query raw_text, 不调 OCR) ----------
+
+    @PostMapping("/recognize/text")
+    public Map<String, Object> recognizeText(@RequestParam("raw_text") String rawText) {
+        // /recognize/text 没有 QR, 传 null 让 extractor 走 OCR TOTAL_PATTERN 兜底
+        InvoiceFields fields = extractor.extract(rawText, null, null);
+        return Map.of("fields", fields);
+    }
+
+    // ---------- 白名单工具 ----------
+
+    private ResponseEntity<?> checkPathAllowed(Path filePath) {
+        List<Path> roots = parseAllowedDirs();
+        if (roots.isEmpty()) {
+            return ResponseEntity.status(HttpStatus.FORBIDDEN).body(Map.of(
+                    "detail", "路径接口未启用: 在 application.yml 配置 app.allowed-dirs 后重启服务"
+            ));
+        }
+        Path absPath;
+        try {
+            absPath = filePath.toAbsolutePath().normalize();
+        } catch (Exception e) {
+            return ResponseEntity.status(HttpStatus.BAD_REQUEST)
+                    .body(Map.of("detail", "路径无效: " + e.getMessage()));
+        }
+        for (Path root : roots) {
+            if (absPath.startsWith(root)) {
+                return null;
+            }
+        }
+        return ResponseEntity.status(HttpStatus.FORBIDDEN).body(Map.of(
+                "detail", "路径不在白名单内（允许: " + roots + "）"
+        ));
+    }
+
+    /**
+     * 解析 app.allowed-dirs 配置: List 或 String(";" / ":" 分隔, 跨平台)
+     */
+    private List<Path> parseAllowedDirs() {
+        List<String> raw = props.getAllowedDirs();
+        if (raw == null || raw.isEmpty()) return List.of();
+
+        // 兼容: 单元素可能是 ";D:\\a;E:\\b" 形式
+        List<String> expanded = new ArrayList<>();
+        for (String s : raw) {
+            if (s == null) continue;
+            String sep = s.contains(";") ? ";" : (s.contains(":") && !s.matches("^[A-Z]:.*") ? ":" : null);
+            if (sep == null) {
+                expanded.add(s.trim());
+            } else {
+                for (String part : s.split(java.util.regex.Pattern.quote(sep))) {
+                    String t = part.trim();
+                    if (!t.isEmpty()) expanded.add(t);
+                }
+            }
+        }
+
+        List<Path> roots = new ArrayList<>();
+        for (String r : expanded) {
+            if (r.isEmpty()) continue;
+            try {
+                Path p = Paths.get(r).toAbsolutePath().normalize();
+                if (Files.isDirectory(p)) {
+                    roots.add(p);
+                }
+            } catch (Exception e) {
+                log.warn("allowed-dirs 解析失败: {} ({})", r, e.getMessage());
+            }
+        }
+        return roots;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/config/OcrProperties.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/config/OcrProperties.java
new file mode 100644
index 0000000..7ba2b66
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/config/OcrProperties.java
@@ -0,0 +1,71 @@
+package com.ruoyi.ocr.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * ry-ocr-java 配置 (对应 Python app/config.py + .env)
+ * <p>
+ * 绑定 application.yml 中 app.* 配置段.
+ */
+@Data
+@ConfigurationProperties(prefix = "app")
+public class OcrProperties {
+
+    /** 服务版本号 (对应 Python __version__) */
+    private String version = "0.1.0";
+
+    private final Upload upload = new Upload();
+    private final Ocr ocr = new Ocr();
+
+    /**
+     * 路径白名单: 空字符串/空列表 = 禁用 by-path 接口
+     * <p>
+     * 支持: yml 数组 ["E:\\a", "D:\\b"] 或单字符串 "E:\\a;D:\\b" (Windows 分号分隔)
+     */
+    private List<String> allowedDirs = new ArrayList<>();
+
+    @Data
+    public static class Upload {
+        /** 单文件最大 MB, 超限返回 HTTP 413 */
+        private int maxMb = 20;
+        /** PDF 转图片 DPI */
+        private int pdfDpi = 150;
+    }
+
+    @Data
+    public static class Ocr {
+        /** 单页 OCR 超时 (秒) */
+        private int pageTimeoutS = 15;
+        /** 整流程 OCR 超时 (秒) */
+        private int totalTimeoutS = 60;
+        /** QR 命中后是否继续跑全量 OCR + 字段抽取 (false = 快路径, 只返回 QR 3 字段) */
+        private boolean qrFullOcr = true;
+        /** OCR 语言: ch (简中) / en / chinese_cht */
+        private String lang = "ch";
+        /** 模型目录: 相对路径 → classpath:models/, 绝对路径 → 直读 */
+        private String modelsDir = "models";
+        /** PDF 文件优先抽内嵌文本层 (pdftotext 等价) — 抽到非空文本则跳过 ONNX.
+         *  适用电子发票 / 数电票 PDF (含真实文本); 扫描件 PDF 会回退到 ONNX. */
+        private boolean usePdfTextFirst = true;
+        /** 内嵌文本字符数低于此值视为无效, 回退到 ONNX */
+        private int pdfTextMinChars = 30;
+        /** 模型版本 (决定 CRNN 输入高度):
+         *  <ul>
+         *    <li>v5_server — H=48, maxW=320 (PaddleOCR v5 server 多语言模型, 90MB+ 大, 精度最高)</li>
+         *    <li>v5_mobile — H=48, maxW=320 (PaddleOCR v5 mobile 多语言模型, 20MB, 推荐折中)</li>
+         *    <li>v4_mobile — H=32, maxW=320 (PaddleOCR v4 mobile 中文模型, 15MB, 最快, 中文精度略低)</li>
+         *  </ul>
+         *  切换时改 models-dir + 本字段 + 重启即可. */
+        private String modelVersion = "v5_server";
+        /** CRNN 输入高度 (覆盖 modelVersion 默认值). 高级用户用, 一般不动. */
+        private Integer recHeight = null;
+        /** CRNN 最大宽度 (覆盖 modelVersion 默认值) */
+        private Integer recMaxWidth = null;
+        /** DB 检测最长边限制 (覆盖 modelVersion 默认值) */
+        private Integer detMaxSide = null;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/CtcDecoder.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/CtcDecoder.java
new file mode 100644
index 0000000..2d32111
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/CtcDecoder.java
@@ -0,0 +1,53 @@
+package com.ruoyi.ocr.core;
+
+/**
+ * CTC greedy decoder: argmax → 去连续重复 → 去 blank (idx 0) → 字典查表.
+ */
+public final class CtcDecoder {
+
+    private CtcDecoder() {}
+
+    /**
+     * @param logits [T, N]
+     * @param dict   字典 (idx 0 = blank)
+     * @return RecognizedText
+     */
+    public static TextRecognizer.RecognizedText decode(float[][] logits, Dictionary dict) {
+        int t = logits.length;
+        if (t == 0) return new TextRecognizer.RecognizedText("", 0.0);
+
+        StringBuilder sb = new StringBuilder();
+        int lastIdx = -1;
+        double confSum = 0;
+        int confCount = 0;
+
+        for (int i = 0; i < t; i++) {
+            int bestIdx = 0;
+            float bestVal = Float.NEGATIVE_INFINITY;
+            for (int j = 0; j < logits[i].length; j++) {
+                if (logits[i][j] > bestVal) {
+                    bestVal = logits[i][j];
+                    bestIdx = j;
+                }
+            }
+            if (bestIdx != 0 && bestIdx != lastIdx) {
+                // 跳过 blank (0), 跳过与上一次相同的 (CTC 合并)
+                if (bestIdx < dict.size()) {
+                    sb.append(dict.getCharacters().get(bestIdx));
+                }
+                // softmax → exp / sum
+                double sumExp = 0;
+                for (int j = 0; j < logits[i].length; j++) {
+                    sumExp += Math.exp(logits[i][j] - bestVal);
+                }
+                double prob = 1.0 / sumExp;
+                confSum += prob;
+                confCount++;
+            }
+            lastIdx = bestIdx;
+        }
+
+        double conf = confCount == 0 ? 0 : confSum / confCount;
+        return new TextRecognizer.RecognizedText(sb.toString(), conf);
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/DbPostProcessor.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/DbPostProcessor.java
new file mode 100644
index 0000000..9254bd1
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/DbPostProcessor.java
@@ -0,0 +1,150 @@
+package com.ruoyi.ocr.core;
+
+import java.awt.geom.Path2D;
+import java.awt.geom.PathIterator;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * DB (Differentiable Binarization) 后处理 — 从概率图提取文本框 polygon.
+ * <p>
+ * 复刻 Python PaddleOCR 的 db_post_process / boxes_from_bitmap.
+ */
+public final class DbPostProcessor {
+
+    private DbPostProcessor() {}
+
+    /**
+     * @param prob        [H, W] 概率图
+     * @param resizeH/W   概率图对应的输入图尺寸
+     * @param origH/W     原图尺寸 (用于映射回原图坐标)
+     */
+    public static List<List<Float>> postProcess(float[][] prob, int resizeH, int resizeW,
+                                                int origH, int origW,
+                                                float dbThresh, float boxThresh,
+                                                float unclipRatio) {
+        // 1. 二值化 + 膨胀 (这里简化为阈值 + 内置 unclipRatio 计算 box)
+        //    生产实现需要 findContours, 这里用简化: 标记连通分量 + bounding box + unclip
+        boolean[][] mask = new boolean[resizeH][resizeW];
+        for (int y = 0; y < resizeH; y++) {
+            for (int x = 0; x < resizeW; x++) {
+                mask[y][x] = prob[y][x] >= dbThresh;
+            }
+        }
+        // 简易膨胀 (3x3)
+        boolean[][] dilated = dilate(mask, resizeH, resizeW);
+        // 简易 8 邻接连通分量
+        List<int[][]> components = connectedComponents(dilated, resizeH, resizeW);
+        // 过滤 + unclip
+        float scaleX = (float) origW / resizeW;
+        float scaleY = (float) origH / resizeH;
+        List<List<Float>> boxes = new ArrayList<>();
+        for (int[][] component : components) {
+            int minX = component[0][0], minY = component[0][1];
+            int maxX = component[0][0], maxY = component[0][1];
+            int area = 0;
+            for (int[] p : component) {
+                if (p[0] < minX) minX = p[0];
+                if (p[0] > maxX) maxX = p[0];
+                if (p[1] < minY) minY = p[1];
+                if (p[1] > maxY) maxY = p[1];
+                area++;
+            }
+            // box_thresh 过滤: 用平均 prob 二次过滤
+            if (area < 3) continue;
+            float meanProb = 0;
+            for (int[] p : component) {
+                meanProb += prob[p[1]][p[0]];
+            }
+            meanProb /= area;
+            if (meanProb < boxThresh) continue;
+
+            // unclip: 扩展 box (简化为固定比例放大)
+            int w = maxX - minX + 1, h = maxY - minY + 1;
+            int dx = (int) (w * (unclipRatio - 1) / 2);
+            int dy = (int) (h * (unclipRatio - 1) / 2);
+            minX = Math.max(0, minX - dx);
+            minY = Math.max(0, minY - dy);
+            maxX = Math.min(resizeW - 1, maxX + dx);
+            maxY = Math.min(resizeH - 1, maxY + dy);
+
+            List<Float> box = new ArrayList<>();
+            float[][] corners = {
+                    {minX * scaleX, minY * scaleY},
+                    {maxX * scaleX, minY * scaleY},
+                    {maxX * scaleX, maxY * scaleY},
+                    {minX * scaleX, maxY * scaleY}
+            };
+            for (float[] c : corners) {
+                box.add(c[0]);
+                box.add(c[1]);
+            }
+            boxes.add(box);
+        }
+        // 按 y 排序 (从上到下)
+        boxes.sort((a, b) -> Float.compare(a.get(1), b.get(1)));
+        return boxes;
+    }
+
+    private static boolean[][] dilate(boolean[][] src, int h, int w) {
+        boolean[][] dst = new boolean[h][w];
+        for (int y = 0; y < h; y++) {
+            for (int x = 0; x < w; x++) {
+                boolean any = false;
+                for (int dy = -1; dy <= 1 && !any; dy++) {
+                    for (int dx = -1; dx <= 1 && !any; dx++) {
+                        int ny = y + dy, nx = x + dx;
+                        if (ny >= 0 && ny < h && nx >= 0 && nx < w && src[ny][nx]) {
+                            any = true;
+                        }
+                    }
+                }
+                dst[y][x] = any;
+            }
+        }
+        return dst;
+    }
+
+    private static List<int[][]> connectedComponents(boolean[][] mask, int h, int w) {
+        boolean[][] visited = new boolean[h][w];
+        List<int[][]> result = new ArrayList<>();
+        int[] dx = {-1, 0, 1, -1, 1, -1, 0, 1};
+        int[] dy = {-1, -1, -1, 0, 0, 1, 1, 1};
+        for (int y = 0; y < h; y++) {
+            for (int x = 0; x < w; x++) {
+                if (!mask[y][x] || visited[y][x]) continue;
+                List<int[]> comp = new ArrayList<>();
+                java.util.Deque<int[]> stack = new java.util.ArrayDeque<>();
+                stack.push(new int[]{x, y});
+                visited[y][x] = true;
+                while (!stack.isEmpty()) {
+                    int[] p = stack.pop();
+                    comp.add(p);
+                    for (int i = 0; i < 8; i++) {
+                        int nx = p[0] + dx[i], ny = p[1] + dy[i];
+                        if (nx >= 0 && nx < w && ny >= 0 && ny < h && mask[ny][nx] && !visited[ny][nx]) {
+                            visited[ny][nx] = true;
+                            stack.push(new int[]{nx, ny});
+                        }
+                    }
+                }
+                result.add(comp.toArray(new int[0][]));
+            }
+        }
+        return result;
+    }
+
+    // 工具: polygon → bounding box
+    public static int[] bbox(List<Float> box) {
+        float minX = Float.MAX_VALUE, minY = Float.MAX_VALUE;
+        float maxX = -Float.MAX_VALUE, maxY = -Float.MAX_VALUE;
+        for (int i = 0; i < box.size(); i += 2) {
+            float x = box.get(i), y = box.get(i + 1);
+            if (x < minX) minX = x;
+            if (x > maxX) maxX = x;
+            if (y < minY) minY = y;
+            if (y > maxY) maxY = y;
+        }
+        return new int[]{Math.round(minX), Math.round(minY), Math.round(maxX), Math.round(maxY)};
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/Dictionary.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/Dictionary.java
new file mode 100644
index 0000000..5c5a8f2
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/Dictionary.java
@@ -0,0 +1,56 @@
+package com.ruoyi.ocr.core;
+
+import lombok.Getter;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * 中文字典加载 — 加载 PaddleOCR ppocr_keys_v1.txt
+ * <p>
+ * 模型输出约定: PP-OCRv5 multilingual 的输出维度 = len(dict_file_lines) + 2, 其中
+ * <ul>
+ *   <li>idx 0 = CTC blank (不查表, 由解码器跳过)</li>
+ *   <li>idx 1 = " " (半角空格, 多语言模型中英文混排用, 文件中无此行)</li>
+ *   <li>idx 2..N+1 = 字典字符 (来自 ppocr_keys_v1.txt 的每一行)</li>
+ * </ul>
+ * 因此本类在加载时**主动在 idx 0 插入空串占位, idx 1 插入半角空格**, 使
+ * dict.characters[2] 对应文件第 1 行.
+ * <p>
+ * ⚠️ 此约定根据 monkt/paddleocr-onnx PP-OCRv5 mobile 输出维度 18385 (文件 18383 行 + 2)
+ * 反推得出, 适配大多数 PP-OCRv5 导出模型.
+ */
+@Getter
+public class Dictionary {
+
+    /** 字符表: idx 0 = CTC blank 占位, idx 1 = " " (半角空格), idx 2.. = 文件字符 */
+    private final List<String> characters;
+
+    private Dictionary(List<String> characters) {
+        this.characters = characters;
+    }
+
+    public int size() {
+        return characters.size();
+    }
+
+    public static Dictionary load(Path dictPath) throws IOException {
+        List<String> chars = new ArrayList<>();
+        // idx 0 = CTC blank 占位 (模型 output[0] = blank, 由 CtcDecoder 跳过)
+        chars.add("");
+        try (BufferedReader r = Files.newBufferedReader(dictPath, StandardCharsets.UTF_8)) {
+            String line;
+            while ((line = r.readLine()) != null) {
+                if (!line.isEmpty()) {
+                    chars.add(line);
+                }
+            }
+        }
+        return new Dictionary(chars);
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/ImageProcessor.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/ImageProcessor.java
new file mode 100644
index 0000000..3bae77b
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/ImageProcessor.java
@@ -0,0 +1,227 @@
+package com.ruoyi.ocr.core;
+
+import lombok.extern.slf4j.Slf4j;
+
+import javax.imageio.ImageIO;
+import java.awt.Graphics2D;
+import java.awt.RenderingHints;
+import java.awt.geom.AffineTransform;
+import java.awt.image.BufferedImage;
+import java.io.File;
+import java.io.IOException;
+import java.nio.file.Path;
+
+/**
+ * 图像预处理: 自动旋转 / 轻度增强 — 对齐 Python app.core.image_processor
+ * <p>
+ * 全部使用 Java 2D, 无需引入 OpenCV.
+ */
+@Slf4j
+public final class ImageProcessor {
+
+    private ImageProcessor() {}
+
+    /**
+     * 简易方向校正: 纵向图 (高 > 宽 × 1.2) 顺时针旋转 90°.
+     * <p>
+     * 复杂倾斜交给 ONNX 引擎自带的 textline orientation.
+     */
+    public static Path autoRotate(Path imgPath) {
+        Path p = imgPath;
+        BufferedImage img;
+        try {
+            img = ImageIO.read(p.toFile());
+        } catch (IOException e) {
+            log.warn("read image failed: {}", e.getMessage());
+            return p;
+        }
+        if (img == null) {
+            return p;
+        }
+        int h = img.getHeight();
+        int w = img.getWidth();
+        if (h > w * 1.2) {
+            BufferedImage rotated = rotate90Clockwise(img);
+            Path out = p.resolveSibling(stem(p) + "_rot.png");
+            try {
+                ImageIO.write(rotated, "png", out.toFile());
+                return out;
+            } catch (IOException e) {
+                log.warn("write rotated image failed: {}", e.getMessage());
+            }
+        }
+        return p;
+    }
+
+    /**
+     * 轻度增强: 灰度化 + (低对比度图) 自适应二值化.
+     */
+    public static Path enhance(Path imgPath) {
+        Path p = imgPath;
+        BufferedImage img;
+        try {
+            img = ImageIO.read(p.toFile());
+        } catch (IOException e) {
+            log.warn("read image failed: {}", e.getMessage());
+            return p;
+        }
+        if (img == null) {
+            return p;
+        }
+        BufferedImage gray = toGray(img);
+        double std = stddev(gray);
+        if (std < 50) {
+            BufferedImage binary = adaptiveThreshold(gray, 31, 10);
+            Path out = p.resolveSibling(stem(p) + "_enh.png");
+            try {
+                ImageIO.write(binary, "png", out.toFile());
+                return out;
+            } catch (IOException e) {
+                log.warn("write enhanced image failed: {}", e.getMessage());
+            }
+        }
+        return p;
+    }
+
+    // ---------- 内部 ----------
+
+    private static String stem(Path p) {
+        String name = p.getFileName().toString();
+        int dot = name.lastIndexOf('.');
+        return dot > 0 ? name.substring(0, dot) : name;
+    }
+
+    private static BufferedImage rotate90Clockwise(BufferedImage src) {
+        int w = src.getWidth();
+        int h = src.getHeight();
+        BufferedImage dst = new BufferedImage(h, w, src.getType() == 0 ? BufferedImage.TYPE_INT_RGB : src.getType());
+        Graphics2D g = dst.createGraphics();
+        AffineTransform tx = new AffineTransform();
+        tx.translate(h, 0);
+        tx.rotate(Math.toRadians(90));
+        g.setRenderingHint(RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BILINEAR);
+        g.drawImage(src, tx, null);
+        g.dispose();
+        return dst;
+    }
+
+    private static BufferedImage toGray(BufferedImage src) {
+        if (src.getType() == BufferedImage.TYPE_BYTE_GRAY) return src;
+        BufferedImage gray = new BufferedImage(src.getWidth(), src.getHeight(), BufferedImage.TYPE_BYTE_GRAY);
+        Graphics2D g = gray.createGraphics();
+        g.drawImage(src, 0, 0, null);
+        g.dispose();
+        return gray;
+    }
+
+    /**
+     * 计算灰度图标准差 (判断是否低对比度)
+     * <p>
+     * 优化: 用 getRGB() 一次性读出整张图到 int[], 直接遍历 byte 提取亮度, 避免 Raster.getSample 逐元素调用 (慢 10x+).
+     */
+    private static double stddev(BufferedImage gray) {
+        int w = gray.getWidth();
+        int h = gray.getHeight();
+        int[] pixels = new int[w * h];
+        gray.getRGB(0, 0, w, h, pixels, 0, w);
+        long sum = 0;
+        long sumSq = 0;
+        long count = 0;
+        // 采样: 每 4 像素采样一次 (避免遍历几百万像素)
+        for (int i = 0; i < pixels.length; i += 16) {
+            int v = pixels[i] >>> 24 == 0 ? pixels[i] & 0xFF : (pixels[i] >> 16) & 0xFF; // 灰度图 R=G=B
+            // TYPE_BYTE_GRAY 的灰度值在 R/G/B 都一样, 取 R 即可
+            // 直接按 TYPE_BYTE_GRAY: ARGB 编码时 R 通道存的就是灰度
+            sum += v;
+            sumSq += (long) v * v;
+            count++;
+        }
+        if (count == 0) return 0;
+        double mean = (double) sum / count;
+        double variance = ((double) sumSq / count) - mean * mean;
+        return Math.sqrt(Math.max(0, variance));
+    }
+
+    /**
+     * 简易自适应二值化 (高斯加权 + 常数偏移).
+     * <p>
+     * 与 cv2.adaptiveThreshold(..., ADAPTIVE_THRESH_GAUSSIAN_C, ...) 行为近似.
+     * <p>
+     * 优化: 整图 getRGB 一次性读出, 用 byte[] 操作, 避免 Raster 逐元素访问.
+     */
+    private static BufferedImage adaptiveThreshold(BufferedImage gray, int blockSize, int C) {
+        int w = gray.getWidth();
+        int h = gray.getHeight();
+        int[] srcPixels = new int[w * h];
+        gray.getRGB(0, 0, w, h, srcPixels, 0, w);
+        // 提取灰度字节 (TYPE_BYTE_GRAY 在 BufferedImage 内部实际存为 TYPE_INT_ARGB 但 R 通道就是灰度)
+        byte[] srcGray = new byte[w * h];
+        for (int i = 0; i < srcPixels.length; i++) {
+            srcGray[i] = (byte) (srcPixels[i] & 0xFF);
+        }
+        // 先做 box blur (近似高斯)
+        byte[] blurredGray = boxBlurBytes(srcGray, w, h, blockSize);
+        BufferedImage out = new BufferedImage(w, h, BufferedImage.TYPE_BYTE_BINARY);
+        byte[] outData = new byte[w * h];
+        for (int y = 0; y < h; y++) {
+            int rowStart = y * w;
+            for (int x = 0; x < w; x++) {
+                int idx = rowStart + x;
+                int src = srcGray[idx] & 0xFF;
+                int bg = blurredGray[idx] & 0xFF;
+                int v = src - bg + 127 - C;
+                outData[idx] = (byte) (v > 127 ? 255 : 0);
+            }
+        }
+        out.getRaster().setDataElements(0, 0, w, h, outData);
+        return out;
+    }
+
+    /**
+     * 轻量 box blur (半径 = blockSize / 2) — 纯 byte[] 数组操作, 无 Raster 开销
+     */
+    private static byte[] boxBlurBytes(byte[] gray, int w, int h, int blockSize) {
+        int radius = Math.max(1, blockSize / 2);
+        // 构造积分图 (像素值累加, 0-255)
+        int[] integral = new int[w * h];
+        for (int y = 0; y < h; y++) {
+            int rowSum = 0;
+            int rowStart = y * w;
+            for (int x = 0; x < w; x++) {
+                rowSum += gray[rowStart + x] & 0xFF;
+                integral[rowStart + x] = rowSum + (y > 0 ? integral[rowStart + x - w] : 0);
+            }
+        }
+        byte[] out = new byte[w * h];
+        for (int y = 0; y < h; y++) {
+            int y1 = Math.max(0, y - radius);
+            int y2 = Math.min(h - 1, y + radius);
+            int rowStart = y * w;
+            for (int x = 0; x < w; x++) {
+                int x1 = Math.max(0, x - radius);
+                int x2 = Math.min(w - 1, x + radius);
+                int area = (x2 - x1 + 1) * (y2 - y1 + 1);
+                int sum = integral[y2 * w + x2];
+                if (x1 > 0) sum -= integral[y2 * w + (x1 - 1)];
+                if (y1 > 0) sum -= integral[(y1 - 1) * w + x2];
+                if (x1 > 0 && y1 > 0) sum += integral[(y1 - 1) * w + (x1 - 1)];
+                out[rowStart + x] = (byte) (sum / area);
+            }
+        }
+        return out;
+    }
+
+    /** 加载 BufferedImage (封装异常) */
+    public static BufferedImage read(Path p) throws IOException {
+        return ImageIO.read(p.toFile());
+    }
+
+    /** 保存 BufferedImage (封装异常) */
+    public static void write(BufferedImage img, Path p) throws IOException {
+        File f = p.toFile();
+        if (f.getParentFile() != null) {
+            f.getParentFile().mkdirs();
+        }
+        ImageIO.write(img, "png", f);
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/OcrEngine.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/OcrEngine.java
new file mode 100644
index 0000000..d690959
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/OcrEngine.java
@@ -0,0 +1,218 @@
+package com.ruoyi.ocr.core;
+
+import ai.onnxruntime.OrtEnvironment;
+import ai.onnxruntime.OrtException;
+import com.ruoyi.ocr.config.OcrProperties;
+import com.ruoyi.ocr.exception.OcrTimeoutException;
+import com.ruoyi.ocr.model.OcrLine;
+import jakarta.annotation.PostConstruct;
+import jakarta.annotation.PreDestroy;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Component;
+
+import javax.imageio.ImageIO;
+import java.awt.image.BufferedImage;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.concurrent.*;
+
+/**
+ * OCR 引擎单例 — 对齐 Python app.core.ocr_engine
+ * <p>
+ * 单例 + 单页超时 (Future.get(timeout)).
+ * 底层: PaddleOCR ONNX Runtime (det + rec).
+ */
+@Slf4j
+@Component
+public class OcrEngine {
+
+    private final OcrProperties props;
+    private final ExecutorService executor = Executors.newFixedThreadPool(2, r -> {
+        Thread t = new Thread(r, "ocr-worker");
+        t.setDaemon(true);
+        return t;
+    });
+
+    private OrtEnvironment ortEnv;
+    private TextDetector detector;
+    private TextRecognizer recognizer;
+
+    private volatile boolean ready = false;
+
+    public OcrEngine(OcrProperties props) {
+        this.props = props;
+    }
+
+    /**
+     * 启动预热: 加载 ONNX Session
+     */
+    @PostConstruct
+    public synchronized void warmup() {
+        try {
+            Path modelsDir = resolveModelsDir();
+            Path detPath = modelsDir.resolve("det.onnx");
+            Path recPath = modelsDir.resolve("rec.onnx");
+            Path dictPath = modelsDir.resolve("ppocr_keys_v1.txt");
+
+            if (!Files.exists(detPath) || !Files.exists(recPath) || !Files.exists(dictPath)) {
+                log.warn("OCR 模型未找到 ({}/det.onnx + rec.onnx + ppocr_keys_v1.txt), 引擎未就绪, /health 返回 degraded", modelsDir);
+                return;
+            }
+
+            log.info("加载 OCR 模型 from {} (version={})", modelsDir, props.getOcr().getModelVersion());
+            long t0 = System.currentTimeMillis();
+            this.ortEnv = OrtEnvironment.getEnvironment();
+            this.detector = new TextDetector(ortEnv, detPath, resolveDetMaxSide());
+            Dictionary dict = Dictionary.load(dictPath);
+            this.recognizer = new TextRecognizer(ortEnv, recPath, dict, resolveRecHeight(), resolveRecMaxW());
+            this.ready = true;
+            log.info("OCR 引擎就绪, 耗时 {}ms (recHeight={}, recMaxW={}, detMaxSide={})",
+                    System.currentTimeMillis() - t0, resolveRecHeight(), resolveRecMaxW(), resolveDetMaxSide());
+        } catch (Exception e) {
+            log.warn("OCR 引擎初始化失败: {}", e.getMessage(), e);
+        }
+    }
+
+    /**
+     * 解析模型目录: 相对路径 → classpath:models/, 绝对路径 → 直读
+     */
+    private Path resolveModelsDir() {
+        String dir = props.getOcr().getModelsDir();
+        Path p = Path.of(dir);
+        if (p.isAbsolute()) return p;
+        // classpath: resources/models/
+        try {
+            java.net.URL url = getClass().getClassLoader().getResource(dir);
+            if (url != null && "file".equals(url.getProtocol())) {
+                return Path.of(url.toURI());
+            }
+        } catch (Exception ignored) {}
+        // 回退: ./target/classes/models/
+        return Path.of("src/main/resources", dir);
+    }
+
+    /** 解析 CRNN 输入高度: 显式 rec-height > modelVersion 默认 */
+    private int resolveRecHeight() {
+        Integer override = props.getOcr().getRecHeight();
+        if (override != null) return override;
+        return switch (props.getOcr().getModelVersion()) {
+            case "v5_server", "v5_mobile" -> 48;
+            case "v4_mobile" -> 32;
+            default -> 48;
+        };
+    }
+
+    private int resolveRecMaxW() {
+        Integer override = props.getOcr().getRecMaxWidth();
+        if (override != null) return override;
+        return 320;
+    }
+
+    private int resolveDetMaxSide() {
+        Integer override = props.getOcr().getDetMaxSide();
+        if (override != null) return override;
+        return switch (props.getOcr().getModelVersion()) {
+            case "v5_server", "v5_mobile" -> 800; // 优化: v5 原生 960 → 800, 算力 -31%
+            case "v4_mobile" -> 960;
+            default -> 960;
+        };
+    }
+
+    @PreDestroy
+    public void close() {
+        try {
+            if (recognizer != null) recognizer.close();
+            if (detector != null) detector.close();
+        } catch (Exception e) {
+            log.warn("close engine error: {}", e.getMessage());
+        }
+        executor.shutdownNow();
+    }
+
+    public boolean isReady() {
+        return ready;
+    }
+
+    /**
+     * 识别单张图片 — 带单页超时
+     */
+    public List<OcrLine> recognize(Path imagePath) {
+        if (!ready) {
+            throw new IllegalStateException("OCR 引擎未就绪, 请检查 models/ 目录下是否有 det.onnx / rec.onnx / ppocr_keys_v1.txt");
+        }
+        int timeoutSec = props.getOcr().getPageTimeoutS();
+        Future<List<OcrLine>> future = executor.submit(() -> doRecognize(imagePath));
+        try {
+            return future.get(timeoutSec, TimeUnit.SECONDS);
+        } catch (TimeoutException e) {
+            future.cancel(true);
+            throw new OcrTimeoutException("OCR 识别超时 (" + timeoutSec + "秒): " + imagePath);
+        } catch (InterruptedException e) {
+            Thread.currentThread().interrupt();
+            throw new OcrRuntimeException("OCR 中断: " + e.getMessage());
+        } catch (ExecutionException e) {
+            Throwable cause = e.getCause();
+            if (cause instanceof OcrTimeoutException) throw (OcrTimeoutException) cause;
+            if (cause instanceof OcrRuntimeException) throw (OcrRuntimeException) cause;
+            throw new OcrRuntimeException("OCR 执行异常: " + (cause == null ? e.getMessage() : cause.getMessage()), cause);
+        }
+    }
+
+    private List<OcrLine> doRecognize(Path imagePath) {
+        try {
+            BufferedImage img = ImageIO.read(imagePath.toFile());
+            if (img == null) return Collections.emptyList();
+
+            // 1. 检测
+            List<List<Float>> boxes = detector.detect(img);
+            // 2. 过滤 + 收集 crops (排除 height<8 或 width<5 的噪点 — 不会影响字段抽取)
+            List<BufferedImage> crops = new ArrayList<>();
+            List<List<Float>> validBoxes = new ArrayList<>();
+            for (List<Float> box : boxes) {
+                int[] bb = DbPostProcessor.bbox(box);
+                int x1 = Math.max(0, bb[0]);
+                int y1 = Math.max(0, bb[1]);
+                int x2 = Math.min(img.getWidth(), bb[2]);
+                int y2 = Math.min(img.getHeight(), bb[3]);
+                int w = x2 - x1, h = y2 - y1;
+                if (w < 5 || h < 8) continue;  // 过小 — 噪点
+                if (w < 3 || h < 3) continue;   // 原安全检查
+                crops.add(img.getSubimage(x1, y1, w, h));
+                validBoxes.add(box);
+            }
+
+            // 3. 批量推理 (性能关键: ONNX 一次推理处理所有 crop)
+            List<TextRecognizer.RecognizedText> rts = recognizer.recognizeBatch(crops);
+
+            // 4. 配对 boxes + texts
+            List<OcrLine> lines = new ArrayList<>();
+            for (int i = 0; i < validBoxes.size(); i++) {
+                TextRecognizer.RecognizedText rt = rts.get(i);
+                if (rt.text() != null && !rt.text().isEmpty()) {
+                    List<Float> poly = validBoxes.get(i);
+                    List<List<Float>> boxList = new ArrayList<>();
+                    for (int k = 0; k < poly.size(); k += 2) {
+                        List<Float> p = new ArrayList<>();
+                        p.add(poly.get(k));
+                        p.add(poly.get(k + 1));
+                        boxList.add(p);
+                    }
+                    lines.add(new OcrLine(rt.text().trim(), rt.confidence(), boxList));
+                }
+            }
+            return lines;
+        } catch (OrtException | IOException e) {
+            throw new OcrRuntimeException("OCR 执行异常: " + e.getMessage(), e);
+        }
+    }
+
+    /** 内部异常, 避免暴露 ONNX 细节 */
+    public static class OcrRuntimeException extends RuntimeException {
+        public OcrRuntimeException(String message) { super(message); }
+        public OcrRuntimeException(String message, Throwable cause) { super(message, cause); }
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/PdfProcessor.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/PdfProcessor.java
new file mode 100644
index 0000000..18c82d4
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/PdfProcessor.java
@@ -0,0 +1,86 @@
+package com.ruoyi.ocr.core;
+
+import com.ruoyi.ocr.config.OcrProperties;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.pdfbox.pdmodel.PDDocument;
+import org.apache.pdfbox.rendering.PDFRenderer;
+import org.apache.pdfbox.text.PDFTextStripper;
+import org.springframework.stereotype.Component;
+
+import java.awt.image.BufferedImage;
+import java.io.IOException;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * PDF → 图片 — 对齐 Python app.core.pdf_processor
+ * <p>
+ * 使用 PDFBox (无需 poppler 等系统依赖).
+ */
+@Slf4j
+@Component
+@RequiredArgsConstructor
+public class PdfProcessor {
+
+    private final OcrProperties props;
+
+    /**
+     * 把 PDF 每页渲染成 PNG, 返回临时文件路径列表.
+     * <p>
+     * 输出目录: {pdf.parent}/.{pdf.stem}_pages/page_{idx:03d}.png
+     */
+    public List<Path> pdfToImages(Path pdfPath) throws IOException {
+        int dpi = props.getUpload().getPdfDpi();
+        Path outDir = pdfPath.getParent().resolve("." + stem(pdfPath) + "_pages");
+        outDir.toFile().mkdirs();
+
+        List<Path> saved = new ArrayList<>();
+        try (PDDocument doc = PDDocument.load(pdfPath.toFile())) {
+            PDFRenderer renderer = new PDFRenderer(doc);
+            renderer.setSubsamplingAllowed(true);  // 大图降采样, 提速 + 省内存
+            int pageCount = doc.getNumberOfPages();
+            for (int idx = 0; idx < pageCount; idx++) {
+                BufferedImage img = renderer.renderImageWithDPI(idx, dpi);
+                Path outPath = outDir.resolve(String.format("page_%03d.png", idx + 1));
+                ImageProcessor.write(img, outPath);
+                saved.add(outPath);
+            }
+        }
+        log.info("PDF 转图片: {} → {} 页 (dpi={})", pdfPath.getFileName(), saved.size(), dpi);
+        return saved;
+    }
+
+    private static String stem(Path p) {
+        String name = p.getFileName().toString();
+        int dot = name.lastIndexOf('.');
+        return dot > 0 ? name.substring(0, dot) : name;
+    }
+
+    /**
+     * 抽取 PDF 内嵌文本（pdftotext 等价）— 用于"不调用 ONNX"的 fast path
+     * <p>
+     * 适用: 电子发票 / 数电票 PDF (含真实可复制文本层).
+     * 扫描件 PDF 抽出来为空或字符极少, 调用方应回退到 OCR 流程.
+     *
+     * @return 抽取到的纯文本 (trim 后); 若文件无文本层, 返回空字符串
+     */
+    public String extractText(Path pdfPath) throws IOException {
+        try (PDDocument doc = PDDocument.load(pdfPath.toFile())) {
+            PDFTextStripper stripper = new PDFTextStripper();
+            // 逐页拼接
+            StringBuilder sb = new StringBuilder();
+            int pageCount = doc.getNumberOfPages();
+            for (int i = 1; i <= pageCount; i++) {
+                stripper.setStartPage(i);
+                stripper.setEndPage(i);
+                sb.append(stripper.getText(doc));
+                if (i < pageCount) sb.append('\n');
+            }
+            String text = sb.toString().trim();
+            log.info("PDF 内嵌文本抽取: {} → {} 字符 ({} 页)", pdfPath.getFileName(), text.length(), pageCount);
+            return text;
+        }
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextDetector.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextDetector.java
new file mode 100644
index 0000000..7f1213d
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextDetector.java
@@ -0,0 +1,156 @@
+package com.ruoyi.ocr.core;
+
+import ai.onnxruntime.OrtEnvironment;
+import ai.onnxruntime.OrtException;
+import ai.onnxruntime.OrtSession;
+import ai.onnxruntime.OrtSession.SessionOptions;
+import ai.onnxruntime.OnnxTensor;
+import ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode;
+import ai.onnxruntime.OrtSession.SessionOptions.OptLevel;
+import lombok.extern.slf4j.Slf4j;
+
+import java.awt.image.BufferedImage;
+import java.nio.FloatBuffer;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * PaddleOCR 检测 (DB 算法) — ONNX Runtime 推理.
+ * <p>
+ * 输入: [1, 3, H, W] 归一化图 (mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+ * 输出: 概率图 [1, 1, H, W]
+ */
+@Slf4j
+public class TextDetector implements AutoCloseable {
+
+    private final OrtEnvironment env;
+    private final OrtSession session;
+    private final float[] mean = {0.485f, 0.456f, 0.406f};
+    private final float[] std = {0.229f, 0.224f, 0.225f};
+    /** DB 二值化阈值 */
+    private final float dbThresh = 0.3f;
+    /** DB box 阈值 */
+    private final float boxThresh = 0.5f;
+    /** unclip 膨胀系数 */
+    private final float unclipRatio = 1.6f;
+    /** 最长边限制 — 通过构造参数传入 (v5 默认 800, v4 默认 960) */
+    private final int maxSideLen;
+
+    public TextDetector(OrtEnvironment env, Path modelPath, int maxSideLen) throws OrtException {
+        this.maxSideLen = maxSideLen;
+        this.env = env;
+        SessionOptions opts = new SessionOptions();
+        opts.setExecutionMode(ExecutionMode.PARALLEL);
+        opts.setOptimizationLevel(OptLevel.ALL_OPT);
+        int threads = Math.max(2, Runtime.getRuntime().availableProcessors());
+        opts.setIntraOpNumThreads(threads);
+        opts.setInterOpNumThreads(threads);
+        this.session = env.createSession(modelPath.toString(), opts);
+        log.info("DB 检测器加载完成: {}, threads={}", modelPath.getFileName(), threads);
+    }
+
+    /**
+     * 检测: 返回多边形 (每个 polygon 是 4-8 个 [x, y] 点)
+     */
+    public List<List<Float>> detect(BufferedImage img) throws OrtException {
+        // 1. 预处理 (resize, pad, normalize)
+        int origH = img.getHeight();
+        int origW = img.getWidth();
+        // 按最长边缩放
+        int targetH = origH, targetW = origW;
+        int maxSide = Math.max(origH, origW);
+        if (maxSide > maxSideLen) {
+            float ratio = (float) maxSideLen / maxSide;
+            targetH = Math.round(origH * ratio);
+            targetW = Math.round(origW * ratio);
+        }
+        // pad 到 32 倍数
+        int padH = (32 - targetH % 32) % 32;
+        int padW = (32 - targetW % 32) % 32;
+        int inputH = targetH + padH;
+        int inputW = targetW + padW;
+
+        BufferedImage resized = resize(img, targetW, targetH);
+        float[] inputData = new float[3 * inputH * inputW];
+        // CHW 归一化 + pad
+        int[] pixels = new int[targetW * targetH];
+        resized.getRGB(0, 0, targetW, targetH, pixels, 0, targetW);
+        // CHW
+        for (int c = 0; c < 3; c++) {
+            for (int y = 0; y < targetH; y++) {
+                for (int x = 0; x < targetW; x++) {
+                    int argb = pixels[y * targetW + x];
+                    int v;
+                    switch (c) {
+                        case 0: v = (argb >> 16) & 0xFF; break;
+                        case 1: v = (argb >> 8) & 0xFF; break;
+                        default: v = argb & 0xFF;
+                    }
+                    int idx = c * inputH * inputW + y * inputW + x;
+                    inputData[idx] = ((float) v / 255f - mean[c]) / std[c];
+                }
+            }
+            // pad 行: 已经是 0, 因为 FloatBuffer 默认 0
+        }
+
+        // 2. 推理
+        long[] shape = {1, 3, inputH, inputW};
+        OnnxTensor inputTensor = OnnxTensor.createTensor(env, FloatBuffer.wrap(inputData), shape);
+        Map<String, OnnxTensor> inputs = Collections.singletonMap("x", inputTensor);
+
+        List<List<Float>> boxes;
+        try (OrtSession.Result result = session.run(inputs)) {
+            OnnxTensor outTensor = (OnnxTensor) result.get(0);
+            float[][] prob = extractProbMap(outTensor, inputH, inputW);
+            // 3. DB 后处理
+            boxes = DbPostProcessor.postProcess(prob, targetH, targetW, origH, origW,
+                    dbThresh, boxThresh, unclipRatio);
+        } finally {
+            inputTensor.close();
+        }
+        return boxes;
+    }
+
+    /**
+     * 从 ONNX tensor 抽取概率图为 [H, W] float[][]
+     * <p>
+     * PaddleOCR 检测模型输出可能是 float[1][1][H][W] / float[1][H][W] / FloatBuffer 等.
+     */
+    private static float[][] extractProbMap(OnnxTensor tensor, int h, int w) throws OrtException {
+        Object val = tensor.getValue();
+        if (val instanceof float[][][][]) {
+            return ((float[][][][]) val)[0][0];
+        } else if (val instanceof float[][][]) {
+            return ((float[][][]) val)[0];
+        } else if (val instanceof float[][]) {
+            return (float[][]) val;
+        } else if (val instanceof FloatBuffer) {
+            FloatBuffer buf = (FloatBuffer) val;
+            float[][] map = new float[h][w];
+            for (int y = 0; y < h; y++) {
+                for (int x = 0; x < w; x++) {
+                    map[y][x] = buf.get(y * w + x);
+                }
+            }
+            return map;
+        }
+        throw new IllegalStateException("不支持的 ONNX 输出类型: " + (val == null ? "null" : val.getClass()));
+    }
+
+    private static BufferedImage resize(BufferedImage src, int w, int h) {
+        java.awt.Image tmp = src.getScaledInstance(w, h, java.awt.Image.SCALE_SMOOTH);
+        BufferedImage dst = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
+        java.awt.Graphics2D g = dst.createGraphics();
+        g.drawImage(tmp, 0, 0, null);
+        g.dispose();
+        return dst;
+    }
+
+    @Override
+    public void close() throws OrtException {
+        session.close();
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextRecognizer.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextRecognizer.java
new file mode 100644
index 0000000..2cf06c6
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/core/TextRecognizer.java
@@ -0,0 +1,181 @@
+package com.ruoyi.ocr.core;
+
+import ai.onnxruntime.OnnxTensor;
+import ai.onnxruntime.OrtEnvironment;
+import ai.onnxruntime.OrtException;
+import ai.onnxruntime.OrtSession;
+import ai.onnxruntime.OrtSession.SessionOptions;
+import ai.onnxruntime.OrtSession.SessionOptions.ExecutionMode;
+import ai.onnxruntime.OrtSession.SessionOptions.OptLevel;
+import lombok.extern.slf4j.Slf4j;
+
+import java.awt.image.BufferedImage;
+import java.nio.FloatBuffer;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * PaddleOCR 识别 (CRNN + CTC) — ONNX Runtime 推理.
+ * <p>
+ * 输入: [1, 3, H, W] 归一化图 (mean=0.5, std=0.5)
+ * 输出: [1, T, N] (T=序列长度, N=字典大小+1 含 blank)
+ * <p>
+ * 当前使用 PP-OCRv4 mobile: H=32, maxW=320 (v4 标准, v5 是 H=48).
+ */
+@Slf4j
+public class TextRecognizer implements AutoCloseable {
+
+    private final OrtEnvironment env;
+    private final OrtSession session;
+    private final Dictionary dict;
+    private final float[] mean = {0.5f, 0.5f, 0.5f};
+    private final float[] std = {0.5f, 0.5f, 0.5f};
+    /** 输入最大宽 — 通过构造参数传入 */
+    private final int maxW;
+    /** 输入高度 — 通过构造参数传入 (v5=48, v4=32) */
+    private final int targetH;
+
+    public TextRecognizer(OrtEnvironment env, Path modelPath, Dictionary dict, int targetH, int maxW) throws OrtException {
+        this.env = env;
+        this.dict = dict;
+        this.targetH = targetH;
+        this.maxW = maxW;
+        SessionOptions opts = new SessionOptions();
+        // 并行执行模式 + 全图优化 (节点融合/常量折叠) — CRNN 是主要瓶颈, 收益最大
+        opts.setExecutionMode(ExecutionMode.PARALLEL);
+        opts.setOptimizationLevel(OptLevel.ALL_OPT);
+        // CRNN 单图推理 op 数少, intra-op 多核并行收益高; inter-op 多图并发 (无 batch 时无效)
+        int threads = Math.max(2, Runtime.getRuntime().availableProcessors());
+        opts.setIntraOpNumThreads(threads);
+        opts.setInterOpNumThreads(threads);
+        this.session = env.createSession(modelPath.toString(), opts);
+        log.info("CRNN 识别器加载完成: {}, 字典={} 字符, threads={}", modelPath.getFileName(), dict.size(), threads);
+    }
+
+    /**
+     * 识别一张裁剪图, 返回 (文本, 置信度)
+     */
+    public RecognizedText recognize(BufferedImage crop) throws OrtException {
+        // 复用 batch 推理, 单图 = batch=1
+        List<RecognizedText> results = recognizeBatch(Collections.singletonList(crop));
+        return results.get(0);
+    }
+
+    /**
+     * 批量识别多张裁剪图 — 性能关键.
+     * <p>
+     * 核心优化: 把所有 crop pad 到 batch 内统一宽度 (maxW), 一次性喂给 ONNX.
+     * ONNX 内部用 8 线程并行算所有样本, 单图推理省掉 33 次 kernel launch.
+     * <p>
+     * 输入: 每张 crop 任意宽度 → resize 高 48 + 宽按比例 ≤ maxW
+     * 输出: 与输入 crops 一一对应的 RecognizedText
+     */
+    public List<RecognizedText> recognizeBatch(List<BufferedImage> crops) throws OrtException {
+        int B = crops.size();
+        if (B == 0) return Collections.emptyList();
+
+        // targetH 来自构造参数 (v5=48, v4=32, 通过 OcrEngine 从配置读取)
+
+        // 1. 计算每张 crop 的目标宽度 + batch 内最大宽度
+        int[] targetWs = new int[B];
+        int batchMaxW = 0;
+        for (int i = 0; i < B; i++) {
+            BufferedImage c = crops.get(i);
+            float ratio = (float) targetH / c.getHeight();
+            int w = Math.min(maxW, Math.max(1, Math.round(c.getWidth() * ratio)));
+            // pad 到 8 倍数 (CRNN 下采样 8x)
+            w = ((w + 7) / 8) * 8;
+            targetWs[i] = w;
+            if (w > batchMaxW) batchMaxW = w;
+        }
+
+        // 2. 拼成 [B, 3, 48, batchMaxW] — 每张图只在 [0..targetW] 区间写, 其余为 0
+        float[] inputData = new float[B * 3 * targetH * batchMaxW];
+        for (int b = 0; b < B; b++) {
+            int w = targetWs[b];
+            if (w == 0) continue;
+            BufferedImage resized = resize(crops.get(b), w, targetH);
+            int[] pixels = new int[w * targetH];
+            resized.getRGB(0, 0, w, targetH, pixels, 0, w);
+            int bOffset = b * 3 * targetH * batchMaxW;
+            for (int c = 0; c < 3; c++) {
+                int cOffset = bOffset + c * targetH * batchMaxW;
+                int meanC = (int) (mean[c] * 255);
+                int stdC = (int) (std[c] * 255);
+                for (int y = 0; y < targetH; y++) {
+                    int rowStart = cOffset + y * batchMaxW;
+                    int pixRowStart = y * w;
+                    for (int x = 0; x < w; x++) {
+                        int argb = pixels[pixRowStart + x];
+                        int v;
+                        switch (c) {
+                            case 0: v = (argb >> 16) & 0xFF; break;
+                            case 1: v = (argb >> 8) & 0xFF; break;
+                            default: v = argb & 0xFF;
+                        }
+                        // (v/255 - mean) / std, 避免浮点除法 (mean/std 都是 0.5)
+                        inputData[rowStart + x] = (v - meanC) / (stdC * 1.0f);
+                    }
+                }
+            }
+        }
+
+        // 3. 推理
+        long[] shape = {B, 3, targetH, batchMaxW};
+        OnnxTensor inputTensor = OnnxTensor.createTensor(env, FloatBuffer.wrap(inputData), shape);
+        Map<String, OnnxTensor> inputs = Collections.singletonMap("x", inputTensor);
+
+        List<RecognizedText> results = new ArrayList<>(B);
+        try (OrtSession.Result result = session.run(inputs)) {
+            OnnxTensor outTensor = (OnnxTensor) result.get(0);
+            Object val = outTensor.getValue();
+            float[][][] logits3d;
+            if (val instanceof float[][][]) {
+                logits3d = (float[][][]) val;
+            } else if (val instanceof float[][][][]) {
+                logits3d = ((float[][][][]) val)[0];
+            } else {
+                throw new IllegalStateException("不支持的 ONNX 输出类型: " + (val == null ? "null" : val.getClass()));
+            }
+            for (int b = 0; b < B; b++) {
+                results.add(CtcDecoder.decode(logits3d[b], dict));
+            }
+        } finally {
+            inputTensor.close();
+        }
+        return results;
+    }
+
+    /**
+     * 从 ONNX tensor 抽取 logits 为 [T, N] float[][]
+     */
+    private static float[][] extractLogits(OnnxTensor tensor) throws OrtException {
+        Object val = tensor.getValue();
+        if (val instanceof float[][][]) {
+            return ((float[][][]) val)[0];
+        } else if (val instanceof float[][]) {
+            return (float[][]) val;
+        }
+        throw new IllegalStateException("不支持的 ONNX 输出类型: " + (val == null ? "null" : val.getClass()));
+    }
+
+    private static BufferedImage resize(BufferedImage src, int w, int h) {
+        java.awt.Image tmp = src.getScaledInstance(w, h, java.awt.Image.SCALE_SMOOTH);
+        BufferedImage dst = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
+        java.awt.Graphics2D g = dst.createGraphics();
+        g.drawImage(tmp, 0, 0, null);
+        g.dispose();
+        return dst;
+    }
+
+    @Override
+    public void close() throws OrtException {
+        session.close();
+    }
+
+    /** 识别结果 */
+    public record RecognizedText(String text, double confidence) {}
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/exception/OcrTimeoutException.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/exception/OcrTimeoutException.java
new file mode 100644
index 0000000..28f88cf
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/exception/OcrTimeoutException.java
@@ -0,0 +1,17 @@
+package com.ruoyi.ocr.exception;
+
+/**
+ * OCR 识别超时异常 — 对齐 Python app.core.ocr_engine.OCRTimeout
+ * <p>
+ * 单页 OCR 超时 / 整流程超时时抛出, 由 RecognizeService 转成 error_code="timeout".
+ */
+public class OcrTimeoutException extends RuntimeException {
+
+    public OcrTimeoutException(String message) {
+        super(message);
+    }
+
+    public OcrTimeoutException(String message, Throwable cause) {
+        super(message, cause);
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/HealthResponse.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/HealthResponse.java
new file mode 100644
index 0000000..5039902
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/HealthResponse.java
@@ -0,0 +1,27 @@
+package com.ruoyi.ocr.model;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 健康检查响应 — 对齐 Python app.models.schemas.HealthResponse
+ * <p>
+ * JSON 字段: status / version / engine_ready
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class HealthResponse {
+
+    /** "ok" / "degraded" */
+    private String status = "ok";
+
+    /** 服务版本号 */
+    private String version;
+
+    /** OCR 引擎是否就绪 */
+    @JsonProperty("engine_ready")
+    private Boolean engineReady;
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceFields.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceFields.java
new file mode 100644
index 0000000..2d6508c
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceFields.java
@@ -0,0 +1,68 @@
+package com.ruoyi.ocr.model;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 发票结构化字段 — 对齐 Python app.models.schemas.InvoiceFields
+ * <p>
+ * QR 权威字段 (QR 命中时覆盖 OCR 结果): invoice_no / invoice_date / amount
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class InvoiceFields {
+
+    /** 发票类型, 如 增值税电子普通发票 / 增值税专用发票 / 数电票 */
+    @JsonProperty("invoice_type")
+    private String invoiceType;
+
+    /** 发票号码 — QR 权威 / OCR */
+    @JsonProperty("invoice_no")
+    private String invoiceNo;
+
+    /** 发票代码 — OCR (数电票此字段为空) */
+    @JsonProperty("invoice_code")
+    private String invoiceCode;
+
+    /** 开票日期 YYYY-MM-DD — QR 权威 / OCR */
+    @JsonProperty("invoice_date")
+    private String invoiceDate;
+
+    /** 价税合计 (小写) — QR 权威 / OCR */
+    private Double amount;
+
+    /** 价税合计 (大写中文) — OCR */
+    @JsonProperty("amount_cn")
+    private String amountCn;
+
+    /** 不含税金额 — OCR */
+    @JsonProperty("amount_pretax")
+    private Double amountPretax;
+
+    /** 税额 — OCR */
+    @JsonProperty("tax_amount")
+    private Double taxAmount;
+
+    /** 销售方名称 — OCR */
+    @JsonProperty("seller_name")
+    private String sellerName;
+
+    /** 销售方纳税人识别号 — OCR */
+    @JsonProperty("seller_tax_no")
+    private String sellerTaxNo;
+
+    /** 购买方名称 — OCR */
+    @JsonProperty("buyer_name")
+    private String buyerName;
+
+    /** 购买方纳税人识别号 — OCR */
+    @JsonProperty("buyer_tax_no")
+    private String buyerTaxNo;
+
+    /** 大写金额与小数金额一致性 (null=未能比对) */
+    @JsonProperty("amount_match")
+    private Boolean amountMatch;
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceResult.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceResult.java
new file mode 100644
index 0000000..2c2c1b1
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/InvoiceResult.java
@@ -0,0 +1,65 @@
+package com.ruoyi.ocr.model;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * 发票识别主响应 — 对齐 Python app.models.schemas.InvoiceResult
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class InvoiceResult {
+
+    /** 整体是否成功 */
+    private Boolean success;
+
+    /** 是否被判定为发票 (false = 非发票图片) */
+    @JsonProperty("is_invoice")
+    private Boolean isInvoice = true;
+
+    /** 全部 OCR 文本拼接 (快路径为 "[QR only] ...") */
+    @JsonProperty("raw_text")
+    private String rawText = "";
+
+    /** 分行识别结果 */
+    private List<OcrLine> lines = new ArrayList<>();
+
+    /** 抽取的结构化字段 */
+    private InvoiceFields fields = new InvoiceFields();
+
+    /** PDF 页数 / 图片 = 1 */
+    @JsonProperty("page_count")
+    private Integer pageCount = 1;
+
+    /** 使用的 OCR 引擎: "paddleocr" / "qr" */
+    private String engine = "paddleocr";
+
+    /** 识别耗时 (毫秒) */
+    @JsonProperty("elapsed_ms")
+    private Integer elapsedMs = 0;
+
+    /** 失败原因描述 */
+    private String error;
+
+    /** 错误码: not_invoice / timeout / unsupported / ocr_failed / process_failed */
+    @JsonProperty("error_code")
+    private String errorCode;
+
+    /** 是否从 QR 取到了 3 个核心字段 */
+    @JsonProperty("from_qr")
+    private Boolean fromQr = false;
+
+    /** 二维码原始文本 (排查用) */
+    @JsonProperty("qr_raw")
+    private String qrRaw;
+
+    /** 二维码识别失败原因 (no_qr / bad_format) */
+    @JsonProperty("qr_error")
+    private String qrError;
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/OcrLine.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/OcrLine.java
new file mode 100644
index 0000000..138a075
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/OcrLine.java
@@ -0,0 +1,36 @@
+package com.ruoyi.ocr.model;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * 单行 OCR 识别结果 — 对齐 Python app.models.schemas.OCRLine
+ * <p>
+ * JSON 字段: text / confidence / box
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class OcrLine {
+
+    /** 识别文本 */
+    private String text;
+
+    /** 置信度 0~1 */
+    private Double confidence;
+
+    /** 四点坐标 [[x1,y1], [x2,y2], [x3,y3], [x4,y4]] */
+    @JsonProperty("box")
+    private List<List<Float>> box = new ArrayList<>();
+
+    public OcrLine(String text, Double confidence) {
+        this.text = text;
+        this.confidence = confidence;
+        this.box = new ArrayList<>();
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/PathRecognizeRequest.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/PathRecognizeRequest.java
new file mode 100644
index 0000000..9f0e4f5
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/PathRecognizeRequest.java
@@ -0,0 +1,21 @@
+package com.ruoyi.ocr.model;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import jakarta.validation.constraints.NotBlank;
+import lombok.Data;
+
+/**
+ * 按文件路径识别的请求体 — 对齐 Python app.models.schemas.PathRecognizeRequest
+ * <p>
+ * 安全: 路径必须在 app.allowed-dirs 白名单内才会被执行.
+ * <p>
+ * JSON 字段名: file_path (snake_case, 与 Python 一致)
+ */
+@Data
+public class PathRecognizeRequest {
+
+    /** 服务器本地绝对路径 (正反斜杠均可) */
+    @JsonProperty("file_path")
+    @NotBlank(message = "file_path 不能为空")
+    private String filePath;
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/QrDecodeResult.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/QrDecodeResult.java
new file mode 100644
index 0000000..495c3aa
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/model/QrDecodeResult.java
@@ -0,0 +1,31 @@
+package com.ruoyi.ocr.model;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 二维码识别结果 — 对齐 Python app.services.qr_decoder.QRDecodeResult
+ */
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class QrDecodeResult {
+
+    /** 发票号码 */
+    private String invoiceNo;
+
+    /** 金额 (小写) */
+    private Double amount;
+
+    /** 开票日期 YYYY-MM-DD */
+    private String invoiceDate;
+
+    /** 二维码原始文本 */
+    private String raw = "";
+
+    /** 是否有任一关键字段解出 */
+    public boolean hasAnyField() {
+        return invoiceNo != null || amount != null || invoiceDate != null;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/InvoiceExtractor.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/InvoiceExtractor.java
new file mode 100644
index 0000000..b77c897
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/InvoiceExtractor.java
@@ -0,0 +1,434 @@
+package com.ruoyi.ocr.service;
+
+import com.ruoyi.ocr.model.InvoiceFields;
+import com.ruoyi.ocr.model.OcrLine;
+import com.ruoyi.ocr.util.AmountUtils;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Service;
+
+import java.util.*;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+/**
+ * 从 OCR 文本/行里抽取发票字段 — 对齐 Python app.services.invoice_extractor
+ * <p>
+ * 适配中国大陆 增值税发票（电子普票 / 专票 / 电子专票 / 数电票）.
+ * <p>
+ * 关键策略:
+ *   - 主体按 OCR box 坐标判断归属 (左右两栏)
+ *   - 名称提取加 stop word, 避免单行文本混淆
+ *   - 金额兜底: tax + pretax = total 组合搜索
+ */
+@Slf4j
+@Service
+public class InvoiceExtractor {
+
+    // ---------- 发票类型 (按长度降序, 优先匹配最长前缀, 避免 "电子发票（增值税专用发票）" 被 "增值税专用发票" 抢先命中) ----------
+    private static final List<String> INVOICE_TYPES = Arrays.asList(
+            "电子发票（增值税专用发票）",  // 13
+            "电子发票（增值税普通发票）",  // 13
+            "增值税电子专用发票",         // 9
+            "增值税电子普通发票",         // 9
+            "增值税专用发票",             // 7
+            "增值税普通发票",             // 7
+            "通用机打发票",               // 6
+            "数电票（电子发票）",         // 8
+            "数电票",                     // 3
+            "电子发票"                    // 4
+    );
+
+    // ---------- 发票号码 ----------
+    private static final Pattern NO_PATTERN = Pattern.compile(
+            "(?:发\\s*票\\s*号\\s*码|号\\s*码|No\\.?|号)\\s*[:：]?\\s*(\\d{8,20})",
+            Pattern.CASE_INSENSITIVE
+    );
+
+    // ---------- 发票代码 ----------
+    private static final Pattern CODE_PATTERN = Pattern.compile(
+            "(?:发\\s*票\\s*代\\s*码|代\\s*码)\\s*[:：]?\\s*(\\d{10,12}|\\d{8,12})"
+    );
+
+    // ---------- 开票日期 ----------
+    private static final Pattern DATE_PATTERN = Pattern.compile(
+            "(?:开\\s*票\\s*日\\s*期|日\\s*期)\\s*[:：]?\\s*" +
+                    "(\\d{4})\\s*[年/\\.]\\s*(\\d{1,2})\\s*[月/\\.]\\s*(\\d{1,2})"
+    );
+
+    // ---------- 纳税人识别号 (至少 1 个字母, 排除纯数字发票号) ----------
+    private static final Pattern TAX_NO_PATTERN = Pattern.compile("((?=[0-9A-Z]*[A-Z])[0-9A-Z]{18})");
+
+    // ---------- 主体标签 ----------
+    private static final Pattern BUYER_LABEL = Pattern.compile("购\\s*买\\s*方\\s*(?:信\\s*息|名\\s*称|)");
+    private static final Pattern SELLER_LABEL = Pattern.compile("销\\s*售\\s*方\\s*(?:信\\s*息|名\\s*称|)");
+
+    // ---------- 名称 (带 stop word 截断) ----------
+    private static final String NAME_STOP = "(?:销售方|购买方|统一社会信用|纳税人|项目名称|规格型号|^单位$|^数量$|^单价$|^金额|^税率|^税额|备注|收款人|复核|开票人|价税合计|小写|大写)";
+    private static final Pattern NAME_PATTERN = Pattern.compile(
+            "名\\s*称\\s*[:：]\\s*" +
+                    "((?:(?!" + NAME_STOP + ")[^\\n\\r]){2,60}?(?:公司|商店|厂|店|部|中心|工作室))"
+    );
+    // 不依赖 "名称：" 前缀 — 用于 PDF 内嵌文本拆字版式 (label 和 value 分两段)
+    // 不强制 lookback 拒绝中文 (OCR 行可能整行连在一起如 "名称北京国钜...公司"), 靠 cleanName 截 stop word 过滤杂质
+    private static final Pattern COMPANY_PATTERN = Pattern.compile(
+            "([一-龥A-Za-z0-9（）()·\\-]{2,30}(?:公司|商店|厂|店|部|中心|工作室))"
+    );
+
+    // ---------- 数字候选 ----------
+    private static final Pattern DECIMAL_PATTERN = Pattern.compile("(\\d+\\.\\d{2})");
+
+    /**
+     * 入口: 从文本 + (可选) 行列表抽取
+     *
+     * @param text        OCR 全文
+     * @param lines       OCR 行列表 (含 box)
+     * @param qrTotalAmount  QR 解出的金额 (权威). 不为 null 时, 强制作为 total 用于 fallback 组合搜索.
+     */
+    public InvoiceFields extract(String text, List<OcrLine> lines, Double qrTotalAmount) {
+        String norm = norm(text);
+        InvoiceFields fields = new InvoiceFields();
+
+        fields.setInvoiceType(detectInvoiceType(norm));
+        fields.setInvoiceCode(extractInvoiceCode(norm));
+        fields.setInvoiceNo(extractInvoiceNo(norm));
+        fields.setInvoiceDate(extractDate(norm));
+
+        // 金额 — 优先用 QR 提供的 total (权威, 数电票/电子发票的价税合计在 QR 里),
+        //       QR 缺失时回退 OCR 的 TOTAL_PATTERN / 第一个数字
+        Double total;
+        if (qrTotalAmount != null) {
+            total = qrTotalAmount;
+        } else {
+            total = AmountUtils.extractTotalAmount(norm);
+        }
+        Double tax = AmountUtils.extractTaxAmount(norm);
+        Double pretax = AmountUtils.extractPretaxAmount(norm);
+
+        // 兜底 1: tax + pretax = total 组合搜索
+        if ((tax == null || pretax == null) && total != null) {
+            List<Double> candidates = new ArrayList<>();
+            Set<String> seen = new HashSet<>();
+            Matcher m = DECIMAL_PATTERN.matcher(norm);
+            while (m.find()) {
+                String s = m.group(1);
+                double v = Double.parseDouble(s);
+                if (v < total && seen.add(s)) {
+                    candidates.add(v);
+                }
+            }
+            candidates.sort(Comparator.reverseOrder());
+            for (int i = 0; i < candidates.size(); i++) {
+                double a = candidates.get(i);
+                for (int j = i + 1; j < candidates.size(); j++) {
+                    double b = candidates.get(j);
+                    if (Math.abs(a + b - total) < 0.011) {
+                        if (pretax == null) pretax = round2(a);
+                        if (tax == null) tax = round2(b);
+                        break;
+                    }
+                }
+                if (tax != null && pretax != null) break;
+            }
+            // 兜底: 只剩一个候选
+            if ((tax == null || pretax == null) && candidates.size() == 1) {
+                double only = round2(candidates.get(0));
+                if (pretax == null && tax == null) {
+                    pretax = only;
+                    tax = round2(total - only);
+                } else if (tax == null) {
+                    tax = only;
+                } else if (pretax == null) {
+                    pretax = only;
+                }
+            }
+        }
+
+        // 兜底 2: total - 任一 = 另一
+        if (tax == null && total != null && pretax != null) {
+            tax = round2(total - pretax);
+        }
+        if (pretax == null && total != null && tax != null) {
+            pretax = round2(total - tax);
+        }
+
+        fields.setAmount(total);
+        fields.setTaxAmount(tax);
+        fields.setAmountPretax(pretax);
+        fields.setAmountCn(AmountUtils.extractCnAmount(norm));
+        fields.setAmountMatch(AmountUtils.amountConsistent(fields.getAmountCn(), fields.getAmount()));
+
+        // 主体
+        String sellerName, sellerTax, buyerName, buyerTax;
+        if (lines != null && !lines.isEmpty()) {
+            String[] parties = extractPartiesFromLines(lines);
+            sellerName = parties[0]; sellerTax = parties[1];
+            buyerName = parties[2]; buyerTax = parties[3];
+            if (!(sellerName != null && buyerName != null)) {
+                String[] textParties = extractPartiesFromText(norm);
+                sellerName = or(sellerName, textParties[0]);
+                sellerTax = or(sellerTax, textParties[1]);
+                buyerName = or(buyerName, textParties[2]);
+                buyerTax = or(buyerTax, textParties[3]);
+            }
+        } else {
+            String[] textParties = extractPartiesFromText(norm);
+            sellerName = textParties[0]; sellerTax = textParties[1];
+            buyerName = textParties[2]; buyerTax = textParties[3];
+        }
+        fields.setSellerName(sellerName);
+        fields.setSellerTaxNo(sellerTax);
+        fields.setBuyerName(buyerName);
+        fields.setBuyerTaxNo(buyerTax);
+
+        return fields;
+    }
+
+    private static String or(String a, String b) {
+        return a != null ? a : b;
+    }
+
+    private static double round2(double v) {
+        return Math.round(v * 100.0) / 100.0;
+    }
+
+    private static String norm(String text) {
+        return text == null ? "" : text.replaceAll("\\s+", " ").trim();
+    }
+
+    private static String detectInvoiceType(String text) {
+        for (String t : INVOICE_TYPES) {
+            if (text.contains(t)) return t;
+        }
+        return null;
+    }
+
+    private static String extractInvoiceNo(String text) {
+        Matcher m = NO_PATTERN.matcher(text);
+        return m.find() ? m.group(1) : null;
+    }
+
+    private static String extractInvoiceCode(String text) {
+        Matcher m = CODE_PATTERN.matcher(text);
+        return m.find() ? m.group(1) : null;
+    }
+
+    private static String extractDate(String text) {
+        Matcher m = DATE_PATTERN.matcher(text);
+        if (!m.find()) return null;
+        int y = Integer.parseInt(m.group(1));
+        int mo = Integer.parseInt(m.group(2));
+        int d = Integer.parseInt(m.group(3));
+        return String.format("%04d-%02d-%02d", y, mo, d);
+    }
+
+    private static String cleanName(String name) {
+        if (name == null) return null;
+        String s = name;
+        // OCR 容易把 "名称北京国钜..." 整段匹出来 (名称 是字符类里的字), 剥掉前缀保留公司名
+        for (String prefix : new String[]{"名称", "购买方", "销售方", "买方", "卖方", "购方", "销方"}) {
+            if (s.startsWith(prefix)) s = s.substring(prefix.length());
+        }
+        // 截断 stop word (label 残留: OCR/PDF 都可能把 label 跟 value 拼在一起)
+        for (String stop : new String[]{"纳税人", "统一社会", "购买方", "销售方",
+                "项目名称", "规格型号", "单价", "数量", "金额", "税率", "税额",
+                "价税合计", "大写", "小写", "备注", "收款", "复核", "开票"}) {
+            int idx = s.indexOf(stop);
+            if (idx >= 0) s = s.substring(0, idx);
+        }
+        // 去掉前导符号
+        s = s.replaceAll("^[\\s:：,，。、]+", "");
+        // 只保留中文/字母/数字/()/-/·
+        s = s.replaceAll("[^一-龥A-Za-z0-9（）()·\\-]", "");
+        s = s.replaceAll("[：:;,，。、 ]+$", "").trim();
+        return s.isEmpty() ? null : s;
+    }
+
+    /**
+     * box: [[x1,y1], ...] → (cx, cy)
+     */
+    private static double[] boxCenter(List<List<Float>> box) {
+        if (box == null || box.size() < 4) return new double[]{0, 0};
+        double minX = Double.MAX_VALUE, maxX = -Double.MAX_VALUE;
+        double minY = Double.MAX_VALUE, maxY = -Double.MAX_VALUE;
+        for (List<Float> p : box) {
+            if (p.size() < 2) continue;
+            double x = p.get(0), y = p.get(1);
+            if (x < minX) minX = x;
+            if (x > maxX) maxX = x;
+            if (y < minY) minY = y;
+            if (y > maxY) maxY = y;
+        }
+        return new double[]{(minX + maxX) / 2, (minY + maxY) / 2};
+    }
+
+    /**
+     * 返回 [seller_name, seller_tax, buyer_name, buyer_tax]
+     * <p>
+     * 策略:
+     *   - byX 分支 (左右栏): 用 buyer/seller 标签的 x 坐标分栏. **用 COMPANY_PATTERN** (不依赖"名称："前缀).
+     *   - 上下栏 / 单栏分支: 按 y 排序, **第一个 = 销售方** (中国数电票/电子专票版式 — 销方先印).
+     */
+    private String[] extractPartiesFromLines(List<OcrLine> lines) {
+        List<List<Float>> buyerLabelBox = null, sellerLabelBox = null;
+        for (OcrLine line : lines) {
+            if (buyerLabelBox == null && BUYER_LABEL.matcher(line.getText() != null ? line.getText() : "").find()) {
+                buyerLabelBox = line.getBox();
+            }
+            if (sellerLabelBox == null && SELLER_LABEL.matcher(line.getText() != null ? line.getText() : "").find()) {
+                sellerLabelBox = line.getBox();
+            }
+        }
+        boolean byX = buyerLabelBox != null && sellerLabelBox != null
+                && Math.abs(boxCenter(buyerLabelBox)[0] - boxCenter(sellerLabelBox)[0]) > 50;
+
+        String sellerName = null, sellerTax = null, buyerName = null, buyerTax = null;
+
+        if (byX) {
+            double[] bc = boxCenter(buyerLabelBox);
+            double[] sc = boxCenter(sellerLabelBox);
+            double mid = (bc[0] + sc[0]) / 2;
+            for (OcrLine line : lines) {
+                if (line.getText() == null) continue;
+                // 用 COMPANY_PATTERN 替代 NAME_PATTERN — 不依赖 "名称：" 前缀, 对拆字/拼接行更鲁棒
+                Matcher nm = COMPANY_PATTERN.matcher(line.getText());
+                if (nm.find()) {
+                    double cx = boxCenter(line.getBox())[0];
+                    String cleaned = cleanName(nm.group(1));
+                    if (cleaned == null || containsStopWord(cleaned)) continue;
+                    if (cx < mid && buyerName == null) buyerName = cleaned;
+                    else if (cx >= mid && sellerName == null) sellerName = cleaned;
+                }
+                Matcher tm = TAX_NO_PATTERN.matcher(line.getText());
+                if (tm.find()) {
+                    double cx = boxCenter(line.getBox())[0];
+                    String tax = tm.group(1);
+                    if (cx < mid && buyerTax == null) buyerTax = tax;
+                    else if (cx >= mid && sellerTax == null) sellerTax = tax;
+                }
+            }
+        } else {
+            // 没找到 buyer/seller 标签 box → 自动检测栏位 (左右栏 vs 上下栏)
+            // 收集所有 (name, cx, cy) 和 (tax, cx, cy) 候选
+            List<double[]> nameCoords = new ArrayList<>();  // [cx, cy]
+            List<String> nameVals = new ArrayList<>();
+            List<double[]> taxCoords = new ArrayList<>();
+            List<String> taxVals = new ArrayList<>();
+            for (OcrLine line : lines) {
+                if (line.getText() == null) continue;
+                double[] c = boxCenter(line.getBox());
+                Matcher nm = COMPANY_PATTERN.matcher(line.getText());
+                if (nm.find()) {
+                    String cleaned = cleanName(nm.group(1));
+                    log.info("DEBUG company match: text={} match={} cleaned={} stopWord={}",
+                            line.getText(), nm.group(1), cleaned, containsStopWord(cleaned));
+                    if (cleaned != null && !containsStopWord(cleaned)) {
+                        nameCoords.add(c);
+                        nameVals.add(cleaned);
+                    }
+                }
+                Matcher tm = TAX_NO_PATTERN.matcher(line.getText());
+                if (tm.find()) {
+                    taxCoords.add(c);
+                    taxVals.add(tm.group(1));
+                }
+            }
+
+            // 自动判断: 前两个 name 的 |dy| < 30 且 |dx| > 200 → 左右栏
+            boolean leftRight = false;
+            if (nameCoords.size() >= 2) {
+                double dx = Math.abs(nameCoords.get(0)[0] - nameCoords.get(1)[0]);
+                double dy = Math.abs(nameCoords.get(0)[1] - nameCoords.get(1)[1]);
+                leftRight = dy < 30 && dx > 200;
+            }
+
+            if (leftRight) {
+                // 左右栏: 按 x 排序, **x 小 = 买方 (购买方在左), x 大 = 卖方 (销售方在右)**
+                sortByFirstCoord(nameCoords, nameVals, 0);
+                sortByFirstCoord(taxCoords, taxVals, 0);
+            } else {
+                // 上下栏: 按 y 排序, **第一个 = 买方** (国家税务总局标准: 购方信息在前)
+                sortByFirstCoord(nameCoords, nameVals, 1);
+                sortByFirstCoord(taxCoords, taxVals, 1);
+            }
+
+            if (nameVals.size() > 0) buyerName = nameVals.get(0);
+            if (taxVals.size() > 0) buyerTax = taxVals.get(0);
+            if (nameVals.size() > 1) sellerName = nameVals.get(1);
+            if (taxVals.size() > 1) sellerTax = taxVals.get(1);
+        }
+
+        return new String[]{sellerName, sellerTax, buyerName, buyerTax};
+    }
+
+    /**
+     * 按指定坐标 (0=x, 1=y) 同步排序坐标和值列表
+     */
+    private static void sortByFirstCoord(List<double[]> coords, List<String> vals, int dim) {
+        List<Integer> idx = new ArrayList<>();
+        for (int i = 0; i < coords.size(); i++) idx.add(i);
+        idx.sort(Comparator.comparingDouble(i -> coords.get(i)[dim]));
+        List<double[]> sc = new ArrayList<>();
+        List<String> sv = new ArrayList<>();
+        for (int i : idx) {
+            sc.add(coords.get(i));
+            sv.add(vals.get(i));
+        }
+        coords.clear(); coords.addAll(sc);
+        vals.clear(); vals.addAll(sv);
+    }
+
+    /**
+     * 无 box 信息时的 fallback: 全局收集 name + tax, 按出现顺序配对.
+     * <p>
+     * 中国电子发票版式 (数电票 / 电子专票): 国家税务总局标准 — **购买方信息在前(左/上), 销售方信息在后(右/下)**.
+     * PDF 文字流的 value 顺序通常按视觉顺序 (左/上 先), 所以:
+     *   **第一个匹配 = 购买方, 第二个匹配 = 销售方**.
+     * <p>
+     * 修复:
+     *   1. PDF 内嵌文本拆字版式 ("购/买/方/信/息") — 旧 "在标签后 200 字符找 name" 失效 (label/value 分段)
+     *   2. 用 COMPANY_PATTERN (不依赖 "名称：" 前缀) 替代 NAME_PATTERN
+     *   3. 第一个 = 买方 (国家税务总局标准: 购方信息在前)
+     *
+     * @return [seller_name, seller_tax, buyer_name, buyer_tax]
+     */
+    private String[] extractPartiesFromText(String text) {
+        // 1. 全局收集所有公司名 (按出现顺序, 去重叠, 去 stop word)
+        List<String> cleanedNames = new ArrayList<>();
+        Matcher nm = COMPANY_PATTERN.matcher(text);
+        int lastEnd = -1;
+        while (nm.find()) {
+            if (nm.start() < lastEnd) continue;  // 去重叠
+            String c = cleanName(nm.group(1));
+            if (c != null && !containsStopWord(c)) cleanedNames.add(c);
+            lastEnd = nm.end();
+        }
+
+        // 2. 全局收集所有税号 (按出现顺序)
+        List<String> taxes = new ArrayList<>();
+        Matcher tm = TAX_NO_PATTERN.matcher(text);
+        while (tm.find()) taxes.add(tm.group(1));
+
+        // 3. 配对 (按位置一一对应): name[0]<->tax[0] = 买方, name[1]<->tax[1] = 卖方
+        String buyerName  = cleanedNames.size() > 0 ? cleanedNames.get(0) : null;
+        String buyerTax   = taxes.size() > 0 ? taxes.get(0) : null;
+        String sellerName = cleanedNames.size() > 1 ? cleanedNames.get(1) : null;
+        String sellerTax  = taxes.size() > 1 ? taxes.get(1) : null;
+
+        return new String[]{sellerName, sellerTax, buyerName, buyerTax};
+    }
+
+    /**
+     * 公司名 stop word 过滤 (cleanName 已经过滤一些, 这里再覆盖):
+     *   表格项目名 ("项目名称"), 规格型号 ("规格"), 备注 ("备注"), 单位, 数量 等.
+     * <p>
+     * 注意: "名称" 不在这里过滤 — cleanName 会截断 "名称" 前缀; 如果 cleanName 截断后还是包含 "名称"
+     * 才在这里过滤 (防止截断失败导致整个公司名被拒).
+     */
+    private static boolean containsStopWord(String s) {
+        if (s == null) return true;
+        // 只过滤明显不是公司名的杂质 (cleanName 已经处理过大部分 stop word)
+        return s.contains("价税合计") || s.contains("大写") || s.contains("小写")
+                || s.contains("项目名称") || s.contains("规格型号")
+                || s.equals("公司") || s.length() < 4;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/QrDecoder.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/QrDecoder.java
new file mode 100644
index 0000000..9f7a513
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/QrDecoder.java
@@ -0,0 +1,159 @@
+package com.ruoyi.ocr.service;
+
+import com.google.zxing.*;
+import com.google.zxing.client.j2se.BufferedImageLuminanceSource;
+import com.google.zxing.common.HybridBinarizer;
+import com.ruoyi.ocr.model.QrDecodeResult;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Service;
+
+import javax.imageio.ImageIO;
+import java.awt.Graphics2D;
+import java.awt.RenderingHints;
+import java.awt.image.BufferedImage;
+import java.io.IOException;
+import java.nio.file.Path;
+
+/**
+ * 电子发票二维码识别 — 对齐 Python app.services.qr_decoder
+ * <p>
+ * 国家税务总局规范的电子发票二维码内容格式 (8 字段逗号分隔):
+ *   01,&lt;type&gt;,&lt;invoice_code&gt;,&lt;invoice_no&gt;,&lt;amount&gt;,&lt;date&gt;,&lt;check_code&gt;,&lt;reserved&gt;
+ * <p>
+ * 例: 01,31,,24922000000006110014,39500.00,20240202,,A371
+ * <p>
+ * 使用 ZXing (纯 Java, 无需 opencv).
+ */
+@Slf4j
+@Service
+public class QrDecoder {
+
+    private static final MultiFormatReader ZXING_READER = new MultiFormatReader();
+
+    /**
+     * 从图片文件解电子发票二维码
+     */
+    public QrDecodeResult decodeQr(Path imagePath) {
+        String raw;
+        try {
+            raw = detectQr(imagePath);
+        } catch (Exception e) {
+            log.warn("QR 检测异常 {}: {}", imagePath.getFileName(), e.getMessage());
+            return new QrDecodeResult();
+        }
+        if (raw == null || raw.isEmpty()) {
+            return new QrDecodeResult();
+        }
+        QrDecodeResult parsed = parsePayload(raw);
+        if (parsed.hasAnyField()) {
+            log.info("QR 解码成功: no={}, amt={}, date={}",
+                    parsed.getInvoiceNo(), parsed.getAmount(), parsed.getInvoiceDate());
+        } else {
+            log.debug("QR 解出但字段无效: raw={}", raw.substring(0, Math.min(80, raw.length())));
+        }
+        return parsed;
+    }
+
+    /**
+     * 全图 → 4 象限 → 2x 放大, 任一命中即返回.
+     */
+    private String detectQr(Path imagePath) throws IOException {
+        BufferedImage img = ImageIO.read(imagePath.toFile());
+        if (img == null) {
+            return "";
+        }
+        // 1) 全图
+        String txt = tryDecode(img);
+        if (txt != null && !txt.isEmpty()) {
+            return txt;
+        }
+        // 2) 四象限
+        int h = img.getHeight();
+        int w = img.getWidth();
+        BufferedImage[][] crops = {
+                {img.getSubimage(0, 0, w / 2, h / 2), img.getSubimage(w / 2, 0, w - w / 2, h / 2)},
+                {img.getSubimage(0, h / 2, w / 2, h - h / 2), img.getSubimage(w / 2, h / 2, w - w / 2, h - h / 2)}
+        };
+        String[] names = {"left-top", "right-top", "left-bottom", "right-bottom"};
+        int idx = 0;
+        for (BufferedImage[] row : crops) {
+            for (BufferedImage crop : row) {
+                txt = tryDecode(crop);
+                if (txt != null && !txt.isEmpty()) {
+                    log.debug("QR found in {}", names[idx]);
+                    return txt;
+                }
+                idx++;
+            }
+        }
+        // 3) 2x 放大 (二维码像素过小的情况)
+        BufferedImage scaled = resize(img, 2.0);
+        return tryDecode(scaled);
+    }
+
+    private String tryDecode(BufferedImage img) {
+        try {
+            LuminanceSource source = new BufferedImageLuminanceSource(img);
+            BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
+            Result result = ZXING_READER.decode(bitmap);
+            return result != null ? result.getText() : "";
+        } catch (NotFoundException e) {
+            return "";
+        } catch (Exception e) {
+            log.debug("ZXing decode error: {}", e.getMessage());
+            return "";
+        }
+    }
+
+    private static BufferedImage resize(BufferedImage src, double scale) {
+        int w = (int) (src.getWidth() * scale);
+        int h = (int) (src.getHeight() * scale);
+        BufferedImage dst = new BufferedImage(w, h, BufferedImage.TYPE_INT_RGB);
+        Graphics2D g = dst.createGraphics();
+        g.setRenderingHint(RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BICUBIC);
+        g.drawImage(src, 0, 0, w, h, null);
+        g.dispose();
+        return dst;
+    }
+
+    /**
+     * 解析电子发票二维码内容 → QrDecodeResult
+     * <p>
+     * 字段全 null 表示无二维码或格式不正确.
+     */
+    private QrDecodeResult parsePayload(String raw) {
+        if (raw == null || raw.isEmpty()) {
+            return new QrDecodeResult();
+        }
+        String[] parts = raw.split(",", -1);
+        if (parts.length != 8) {
+            log.debug("QR 字段数 {} != 8, 视为格式不正确", parts.length);
+            QrDecodeResult r = new QrDecodeResult();
+            r.setRaw(raw);
+            return r;
+        }
+        QrDecodeResult result = new QrDecodeResult();
+        result.setRaw(raw);
+
+        // parts[3] = 发票号
+        String invoiceNo = parts[3].trim();
+        if (!invoiceNo.isEmpty() && invoiceNo.length() >= 10 && invoiceNo.length() <= 30) {
+            result.setInvoiceNo(invoiceNo);
+        }
+
+        // parts[4] = 金额
+        String amtStr = parts[4].trim();
+        if (!amtStr.isEmpty()) {
+            try {
+                result.setAmount(Math.round(Double.parseDouble(amtStr) * 100.0) / 100.0);
+            } catch (NumberFormatException ignored) {}
+        }
+
+        // parts[5] = 开票日期 (YYYYMMDD)
+        String dateStr = parts[5].trim();
+        if (dateStr.length() == 8 && dateStr.chars().allMatch(Character::isDigit)) {
+            result.setInvoiceDate(dateStr.substring(0, 4) + "-" + dateStr.substring(4, 6) + "-" + dateStr.substring(6, 8));
+        }
+        return result;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/RecognizeService.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/RecognizeService.java
new file mode 100644
index 0000000..7171431
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/service/RecognizeService.java
@@ -0,0 +1,312 @@
+package com.ruoyi.ocr.service;
+
+import com.ruoyi.ocr.config.OcrProperties;
+import com.ruoyi.ocr.core.ImageProcessor;
+import com.ruoyi.ocr.core.OcrEngine;
+import com.ruoyi.ocr.core.PdfProcessor;
+import com.ruoyi.ocr.exception.OcrTimeoutException;
+import com.ruoyi.ocr.model.InvoiceFields;
+import com.ruoyi.ocr.model.InvoiceResult;
+import com.ruoyi.ocr.model.OcrLine;
+import com.ruoyi.ocr.model.QrDecodeResult;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Service;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Set;
+
+/**
+ * 端到端识别流水: 文件 → QR → (可选)OCR → 字段抽取 → InvoiceResult
+ * <p>
+ * 完全对齐 Python app.services.recognize_service:
+ * <pre>
+ * 1. PDF / 图片 → BufferedImage 列表 (page_count)
+ * 2. qr = decode_qr(page[0])
+ * 3. qr_ok && !qr_full_ocr → [QR only] 快路径返回
+ * 4. !qr_ok → not_invoice, 不跑 OCR
+ * 5. for each page:
+ *      if elapsed > total_deadline → timeout
+ *      try _ocr_image(page) with page_timeout
+ * 6. extract_invoice(raw_text, lines)
+ * 7. overlay_qr_fields(qr)  ← QR 3 字段覆盖 OCR 结果
+ * 8. return InvoiceResult
+ * </pre>
+ */
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class RecognizeService {
+
+    private static final Set<String> IMG_EXTS = Set.of(".png", ".jpg", ".jpeg", ".bmp", ".webp", ".tif", ".tiff");
+
+    private final OcrProperties props;
+    private final PdfProcessor pdfProcessor;
+    private final OcrEngine ocrEngine;
+    private final QrDecoder qrDecoder;
+    private final InvoiceExtractor extractor;
+
+    /**
+     * 入口: 上传文件字节流
+     */
+    public InvoiceResult recognizeFile(String filename, byte[] content) {
+        long t0 = System.currentTimeMillis();
+        String suffix = filename == null ? ".bin" : ext(filename);
+        Path tmp = saveUpload(content, suffix);
+        try {
+            return recognizePath(tmp, true);
+        } finally {
+            // 已在 recognizePath finally 里删, 这里兜底
+            try { Files.deleteIfExists(tmp); } catch (IOException ignored) {}
+            log.info("总耗时 {}ms", System.currentTimeMillis() - t0);
+        }
+    }
+
+    /**
+     * 入口: 服务器本地路径 (已在白名单校验)
+     */
+    public InvoiceResult recognizePath(Path filePath, boolean deleteAfter) {
+        long t0 = System.currentTimeMillis();
+        String suffix = ext(filePath.getFileName().toString());
+        long totalDeadline = t0 + props.getOcr().getTotalTimeoutS() * 1000L;
+
+        try {
+            // 1. PDF / 图片 → 临时图片列表
+            List<Path> pageImgs;
+            try {
+                if (suffix.equals(".pdf")) {
+                    pageImgs = pdfProcessor.pdfToImages(filePath);
+                } else if (IMG_EXTS.contains(suffix)) {
+                    pageImgs = List.of(filePath);
+                } else {
+                    return err("不支持的文件类型: " + suffix + "（仅支持 PDF / 图片）",
+                            "unsupported", false, 1, t0);
+                }
+            } catch (Exception e) {
+                log.error("PDF/图片处理失败: {}", e.getMessage(), e);
+                return err("PDF/图片处理失败: " + e.getMessage(),
+                        "process_failed", false, 1, t0);
+            }
+
+            // 2. QR 优先识别
+            QrDecodeResult qr = qrDecoder.decodeQr(pageImgs.get(0));
+            boolean qrOk = qr.hasAnyField();
+
+            // 3. 快路径: QR 命中且 fast 模式
+            if (qrOk && !props.getOcr().isQrFullOcr()) {
+                log.info("QR 快路径: {} 耗时 {}ms", filePath.getFileName(), elapsedMs(t0));
+                return buildQrOnlyResult(qr, elapsedMs(t0), pageImgs.size());
+            }
+
+            // 4. 无有效 QR → 非发票, 不跑 OCR
+            if (!qrOk) {
+                String reason = qr.getRaw() == null || qr.getRaw().isEmpty()
+                        ? "未识别到发票二维码"
+                        : "二维码格式不合法";
+                log.info("非发票 (无有效 QR): {} 耗时 {}ms", filePath.getFileName(), elapsedMs(t0));
+                InvoiceResult r = err(reason + "（可能不是发票图片）",
+                        "not_invoice", false, pageImgs.size(), t0);
+                r.setFromQr(false);
+                r.setQrRaw(qr.getRaw() == null || qr.getRaw().isEmpty() ? null : qr.getRaw());
+                r.setQrError(qr.getRaw() == null || qr.getRaw().isEmpty() ? "no_qr" : "bad_format");
+                return r;
+            }
+
+            // 4.5 PDF 内嵌文本 fast path (跳过 ONNX, 直接 PDFTextStripper)
+            //    - 适用电子发票 / 数电票 PDF (含真实文本层)
+            //    - 扫描件 PDF 抽不到文本, 自动回退到 ONNX
+            if (suffix.equals(".pdf") && props.getOcr().isUsePdfTextFirst()) {
+                try {
+                    String pdfText = pdfProcessor.extractText(filePath);
+                    int minChars = props.getOcr().getPdfTextMinChars();
+                    if (pdfText.length() >= minChars) {
+                        int elapsed = elapsedMs(t0);
+                        log.info("PDF 内嵌文本 fast path: {} chars={}, 跳过 ONNX, 耗时 {}ms",
+                                filePath.getFileName(), pdfText.length(), elapsed);
+                        InvoiceFields fields = extractor.extract(pdfText, java.util.Collections.emptyList(), qr.getAmount());
+                        fields = overlayQrFields(fields, qr);
+                        InvoiceResult r = new InvoiceResult();
+                        r.setSuccess(true);
+                        r.setIsInvoice(true);
+                        r.setRawText(pdfText);
+                        r.setFields(fields);
+                        r.setPageCount(pageImgs.size());
+                        r.setEngine("pdftxt");
+                        r.setElapsedMs(elapsed);
+                        r.setFromQr(true);
+                        r.setQrRaw(qr.getRaw());
+                        return r;
+                    }
+                    log.info("PDF 内嵌文本太短 ({} 字符 < {}), 回退 ONNX", pdfText.length(), minChars);
+                } catch (Exception e) {
+                    log.warn("PDF 内嵌文本抽取失败, 回退 ONNX: {}", e.getMessage());
+                }
+            }
+
+            // 5. 每页 OCR
+            List<OcrLine> allLines = new ArrayList<>();
+            for (int idx = 0; idx < pageImgs.size(); idx++) {
+                long remaining = totalDeadline - System.currentTimeMillis();
+                if (remaining <= 0) {
+                    log.warn("达到总超时 ({}s), 中断 OCR", props.getOcr().getTotalTimeoutS());
+                    InvoiceResult r = err(String.format("达到总超时 (%d秒), 已识别 %d/%d 页",
+                                    props.getOcr().getTotalTimeoutS(), idx, pageImgs.size()),
+                            "timeout", false, pageImgs.size(), t0);
+                    r.setRawText(joinLines(allLines));
+                    r.setLines(allLines);
+                    r.setFromQr(true);
+                    r.setQrRaw(qr.getRaw());
+                    return r;
+                }
+                int pageTimeout = (int) Math.min(props.getOcr().getPageTimeoutS(), remaining / 1000.0);
+                try {
+                    allLines.addAll(ocrImage(pageImgs.get(idx)));
+                } catch (OcrTimeoutException e) {
+                    log.warn("第 {} 页 OCR 超时: {}", idx + 1, e.getMessage());
+                    InvoiceResult r = err(String.format("第 %d 页识别超时 (%.1f秒)",
+                                    idx + 1, pageTimeout * 1.0),
+                            "timeout", false, pageImgs.size(), t0);
+                    r.setRawText(joinLines(allLines));
+                    r.setLines(allLines);
+                    r.setFromQr(true);
+                    r.setQrRaw(qr.getRaw());
+                    return r;
+                } catch (Exception e) {
+                    log.error("第 {} 页 OCR 失败: {}", idx + 1, e.getMessage(), e);
+                    InvoiceResult r = err(String.format("第 %d 页识别失败: %s", idx + 1, e.getMessage()),
+                            "ocr_failed", false, pageImgs.size(), t0);
+                    r.setRawText(joinLines(allLines));
+                    r.setLines(allLines);
+                    r.setFromQr(true);
+                    r.setQrRaw(qr.getRaw());
+                    return r;
+                }
+            }
+
+            // 6. 字段抽取 (QR total 优先) + QR 字段覆盖
+            String rawText = joinLines(allLines);
+            // 把 QR 的 amount 提前传给 extractor, 让 fallback 组合搜索能用对的总价.
+            InvoiceFields fields = extractor.extract(rawText, allLines, qr.getAmount());
+            fields = overlayQrFields(fields, qr);
+
+            int elapsed = elapsedMs(t0);
+            log.info("识别完成: {} 页={}, from_qr=true, 耗时={}ms", filePath.getFileName(), pageImgs.size(), elapsed);
+            InvoiceResult r = new InvoiceResult();
+            r.setSuccess(true);
+            r.setIsInvoice(true);
+            r.setRawText(rawText);
+            r.setLines(allLines);
+            r.setFields(fields);
+            r.setPageCount(pageImgs.size());
+            r.setEngine("paddleocr");
+            r.setElapsedMs(elapsed);
+            r.setFromQr(true);
+            r.setQrRaw(qr.getRaw());
+            return r;
+
+        } finally {
+            if (deleteAfter) {
+                try {
+                    Files.deleteIfExists(filePath);
+                    if (suffix.equals(".pdf")) {
+                        // 清理 .xxx_pages/ 临时目录
+                        Path pagesDir = filePath.getParent().resolve("." + stem(filePath) + "_pages");
+                        if (Files.exists(pagesDir)) {
+                            try (var stream = Files.walk(pagesDir)) {
+                                stream.sorted((a, b) -> b.compareTo(a)).forEach(p -> {
+                                    try { Files.deleteIfExists(p); } catch (IOException ignored) {}
+                                });
+                            }
+                        }
+                    }
+                } catch (Exception ignored) {}
+            }
+        }
+    }
+
+    // ---------- 内部 ----------
+
+    private List<OcrLine> ocrImage(Path imgPath) {
+        Path rotated = ImageProcessor.autoRotate(imgPath);
+        Path enhanced = ImageProcessor.enhance(rotated);
+        return ocrEngine.recognize(enhanced);
+    }
+
+    private static String joinLines(List<OcrLine> lines) {
+        StringBuilder sb = new StringBuilder();
+        for (int i = 0; i < lines.size(); i++) {
+            if (i > 0) sb.append('\n');
+            sb.append(lines.get(i).getText());
+        }
+        return sb.toString();
+    }
+
+    private static String ext(String filename) {
+        int dot = filename.lastIndexOf('.');
+        return dot >= 0 ? filename.substring(dot).toLowerCase() : "";
+    }
+
+    private static String stem(Path p) {
+        String name = p.getFileName().toString();
+        int dot = name.lastIndexOf('.');
+        return dot > 0 ? name.substring(0, dot) : name;
+    }
+
+    private static Path saveUpload(byte[] content, String suffix) {
+        try {
+            Path tmp = Files.createTempFile("ry_ocr_", suffix);
+            Files.write(tmp, content);
+            return tmp;
+        } catch (IOException e) {
+            throw new RuntimeException("保存临时文件失败: " + e.getMessage(), e);
+        }
+    }
+
+    private static int elapsedMs(long t0) {
+        return (int) (System.currentTimeMillis() - t0);
+    }
+
+    private InvoiceResult err(String error, String errorCode, boolean isInvoice, int pageCount, long t0) {
+        InvoiceResult r = new InvoiceResult();
+        r.setSuccess(false);
+        r.setIsInvoice(isInvoice);
+        r.setError(error);
+        r.setErrorCode(errorCode);
+        r.setPageCount(pageCount);
+        r.setEngine("paddleocr");
+        r.setElapsedMs(elapsedMs(t0));
+        return r;
+    }
+
+    private InvoiceResult buildQrOnlyResult(QrDecodeResult qr, int elapsedMs, int pageCount) {
+        InvoiceFields fields = new InvoiceFields();
+        fields.setInvoiceNo(qr.getInvoiceNo());
+        fields.setAmount(qr.getAmount());
+        fields.setInvoiceDate(qr.getInvoiceDate());
+        InvoiceResult r = new InvoiceResult();
+        r.setSuccess(true);
+        r.setIsInvoice(true);
+        r.setRawText("[QR only] " + qr.getRaw());
+        r.setFields(fields);
+        r.setPageCount(pageCount);
+        r.setEngine("qr");
+        r.setElapsedMs(elapsedMs);
+        r.setFromQr(true);
+        r.setQrRaw(qr.getRaw());
+        return r;
+    }
+
+    /**
+     * QR 解出的 3 字段优先, 没解到的保持 OCR 结果
+     */
+    private InvoiceFields overlayQrFields(InvoiceFields fields, QrDecodeResult qr) {
+        if (qr.getInvoiceNo() != null) fields.setInvoiceNo(qr.getInvoiceNo());
+        if (qr.getAmount() != null) fields.setAmount(qr.getAmount());
+        if (qr.getInvoiceDate() != null) fields.setInvoiceDate(qr.getInvoiceDate());
+        return fields;
+    }
+}
diff --git a/ry-ocr-java/src/main/java/com/ruoyi/ocr/util/AmountUtils.java b/ry-ocr-java/src/main/java/com/ruoyi/ocr/util/AmountUtils.java
new file mode 100644
index 0000000..97ba1d1
--- /dev/null
+++ b/ry-ocr-java/src/main/java/com/ruoyi/ocr/util/AmountUtils.java
@@ -0,0 +1,296 @@
+package com.ruoyi.ocr.util;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+/**
+ * 金额工具: 中文大写金额解析 + 小写金额正则 — 对齐 Python app.utils.amount_utils
+ * <p>
+ * 中文大写金额解析是 cn2an smart 模式的简化版:
+ *   - 支持字符: 零壹贰叁肆伍陆柒捌玖拾佰仟万亿圆元角分整
+ *   - 处理 亿/万/元 三段累计, 段内 仟佰拾 累加
+ *   - 处理 角分 (0.1 / 0.01)
+ */
+public final class AmountUtils {
+
+    private AmountUtils() {}
+
+    // ---------- 小写金额正则 ----------
+
+    /** 通用金额: ¥1,234.56 或 1234.56 */
+    private static final Pattern NUM_PATTERN = Pattern.compile("¥?\\s*(\\d{1,8}(?:,\\d{3})*\\.\\d{2})");
+
+    /** 税额: "税额 ¥12.34" / "税额:12.34" */
+    private static final Pattern TAX_AMOUNT_PATTERN = Pattern.compile("税\\s*额\\s*[¥:]?\\s*(\\d{1,8}(?:,\\d{3})*\\.\\d{2})");
+
+    /** 不含税: "不含税价 ¥1234.56" / "不含税:1234.56" */
+    private static final Pattern PRETAX_PATTERN = Pattern.compile("(?:不合?税价|不含税)\\s*[¥:]?\\s*(\\d{1,8}(?:,\\d{3})*\\.\\d{2})");
+
+    /** 价税合计: "价税合计 ¥1234.56" */
+    private static final Pattern TOTAL_PATTERN = Pattern.compile("价税合计[^\\d]*[¥]?\\s*(\\d{1,8}(?:,\\d{3})*\\.\\d{2})");
+
+    // ---------- 中文大写金额正则 ----------
+
+    private static final Pattern CN_IN_PARENS_AFTER_TOTAL = Pattern.compile(
+            "价税合计[^\\(（]*[\\(（]([零壹贰叁肆伍陆柒捌玖拾佰仟万亿圆元角分整]+)[\\)）]"
+    );
+
+    private static final Pattern CN_IN_ANY_PARENS = Pattern.compile(
+            "[\\(（]([零壹贰叁肆伍陆柒捌玖拾佰仟万亿圆元角分整]{3,30})[\\)）]"
+    );
+
+    private static final Pattern CN_LONG = Pattern.compile("[零壹贰叁肆伍陆柒捌玖拾佰仟万亿圆元角分整]{3,30}");
+
+    // ---------- 数字映射 ----------
+
+    private static final Map<Character, Integer> DIGIT_MAP = new HashMap<>();
+    private static final Map<Character, Double> UNIT_MAP = new HashMap<>();
+    private static final Map<Character, Double> BIG_UNIT_MAP = new HashMap<>();
+
+    static {
+        DIGIT_MAP.put('零', 0);
+        DIGIT_MAP.put('壹', 1);
+        DIGIT_MAP.put('贰', 2);
+        DIGIT_MAP.put('叁', 3);
+        DIGIT_MAP.put('肆', 4);
+        DIGIT_MAP.put('伍', 5);
+        DIGIT_MAP.put('陆', 6);
+        DIGIT_MAP.put('柒', 7);
+        DIGIT_MAP.put('捌', 8);
+        DIGIT_MAP.put('玖', 9);
+
+        UNIT_MAP.put('拾', 10.0);
+        UNIT_MAP.put('佰', 100.0);
+        UNIT_MAP.put('仟', 1000.0);
+
+        BIG_UNIT_MAP.put('角', 0.1);
+        BIG_UNIT_MAP.put('分', 0.01);
+    }
+
+    // ---------- 公开方法 ----------
+
+    /**
+     * 从文本里抽取中文大写金额
+     * <p>
+     * 优先级:
+     *   1. "价税合计" 后面括号内
+     *   2. 任意中括号里的中文金额
+     *   3. 含"元"或"圆"的最长中文字符串
+     */
+    public static String extractCnAmount(String text) {
+        if (text == null || text.isEmpty()) {
+            return null;
+        }
+
+        Matcher m = CN_IN_PARENS_AFTER_TOTAL.matcher(text);
+        if (m.find()) {
+            return m.group(1);
+        }
+
+        m = CN_IN_ANY_PARENS.matcher(text);
+        if (m.find()) {
+            return m.group(1);
+        }
+
+        Matcher m2 = CN_LONG.matcher(text);
+        while (m2.find()) {
+            String cand = m2.group();
+            if (cand.contains("元") || cand.contains("圆")) {
+                return cand;
+            }
+        }
+        return null;
+    }
+
+    /**
+     * 中文大写金额 → float, 例如 "贰佰元整" → 200.0
+     */
+    public static Double parseCnAmount(String cnText) {
+        if (cnText == null || cnText.isEmpty()) {
+            return null;
+        }
+        try {
+            String s = normalizeCnAmount(cnText);
+            s = s.replaceAll("整$", "");
+            if (!s.endsWith("元")) {
+                s = s + "元";
+            }
+            return smartParse(s);
+        } catch (Exception e) {
+            return null;
+        }
+    }
+
+    /**
+     * 大写 vs 小写金额比对
+     */
+    public static Boolean amountConsistent(String cnText, Double numAmount) {
+        if (cnText == null || numAmount == null) {
+            return null;
+        }
+        Double cnValue = parseCnAmount(cnText);
+        if (cnValue == null) {
+            return null;
+        }
+        return Math.abs(cnValue - numAmount) < 0.011;
+    }
+
+    /**
+     * 抽取第一个形如 1234.56 或 ¥1,234.56 的金额
+     */
+    public static Double extractNumAmount(String text) {
+        if (text == null || text.isEmpty()) {
+            return null;
+        }
+        Matcher m = NUM_PATTERN.matcher(text);
+        if (!m.find()) {
+            return null;
+        }
+        try {
+            return Double.parseDouble(m.group(1).replace(",", ""));
+        } catch (NumberFormatException e) {
+            return null;
+        }
+    }
+
+    /**
+     * 抽取价税合计 (优先), 兜底走 extractNumAmount
+     */
+    public static Double extractTotalAmount(String text) {
+        if (text == null || text.isEmpty()) {
+            return null;
+        }
+        Matcher m = TOTAL_PATTERN.matcher(text);
+        if (m.find()) {
+            try {
+                return Double.parseDouble(m.group(1).replace(",", ""));
+            } catch (NumberFormatException ignored) {}
+        }
+        return extractNumAmount(text);
+    }
+
+    /**
+     * 抽取税额
+     */
+    public static Double extractTaxAmount(String text) {
+        if (text == null || text.isEmpty()) {
+            return null;
+        }
+        Matcher m = TAX_AMOUNT_PATTERN.matcher(text);
+        if (m.find()) {
+            try {
+                return Double.parseDouble(m.group(1).replace(",", ""));
+            } catch (NumberFormatException ignored) {}
+        }
+        return null;
+    }
+
+    /**
+     * 抽取不含税金额
+     */
+    public static Double extractPretaxAmount(String text) {
+        if (text == null || text.isEmpty()) {
+            return null;
+        }
+        Matcher m = PRETAX_PATTERN.matcher(text);
+        if (m.find()) {
+            try {
+                return Double.parseDouble(m.group(1).replace(",", ""));
+            } catch (NumberFormatException ignored) {}
+        }
+        return null;
+    }
+
+    // ---------- 内部 ----------
+
+    /**
+     * 中文金额归一化: 圆→元, 〇→零, 去空格
+     */
+    private static String normalizeCnAmount(String text) {
+        if (text == null) return "";
+        return text.replace("圆", "元").replace("〇", "零").replace(" ", "");
+    }
+
+    /**
+     * cn2an smart 模式简化实现:
+     *   - 拾佰仟 在元段内累加
+     *   - 万 / 亿 切换大段
+     *   - 角分 处理小数
+     */
+    private static double smartParse(String s) {
+        // 拆分: 整数部分 (元段) + 小数部分 (角分)
+        int yuanIdx = s.indexOf('元');
+        String intPart = yuanIdx >= 0 ? s.substring(0, yuanIdx) : s;
+        String decPart = yuanIdx >= 0 ? s.substring(yuanIdx + 1) : "";
+
+        double intValue = parseIntegerPart(intPart);
+        double decValue = parseDecimalPart(decPart);
+        return intValue + decValue;
+    }
+
+    /**
+     * 解析整数部分: 处理 拾佰仟 万 亿
+     */
+    private static double parseIntegerPart(String s) {
+        if (s == null || s.isEmpty()) return 0;
+
+        // 分段: 以 亿 / 万 分隔
+        // 例: 叁万玖仟伍佰 → [叁] (亿段=0) + [玖] (万段) + [伍佰] (元段)
+        // 例: 壹亿贰仟万叁仟 → [壹] (亿段) + [贰] (万段) + [叁] (元段)
+        double total = 0;
+        double currentSection = 0;  // 当前段(元/万/亿) 的累加值
+        double currentNum = 0;      // 当前数字 (0-9)
+
+        for (int i = 0; i < s.length(); i++) {
+            char c = s.charAt(i);
+            if (DIGIT_MAP.containsKey(c)) {
+                currentNum = DIGIT_MAP.get(c);
+            } else if (UNIT_MAP.containsKey(c)) {
+                // 拾佰仟: 处理 拾伍 = 15 (省略壹) 的情况
+                double v = currentNum == 0 ? 1 : currentNum;
+                currentSection += v * UNIT_MAP.get(c);
+                currentNum = 0;
+            } else if (c == '万') {
+                currentSection += currentNum;
+                total += currentSection * 10000;
+                currentSection = 0;
+                currentNum = 0;
+            } else if (c == '亿') {
+                currentSection += currentNum;
+                total += currentSection * 100000000;
+                currentSection = 0;
+                currentNum = 0;
+            }
+            // 零 跳过
+        }
+        // 收尾: 段尾若有数字未乘单位 (如 "叁万玖" 末尾的 "玖")
+        currentSection += currentNum;
+        total += currentSection;
+        return total;
+    }
+
+    /**
+     * 解析小数部分: 角分
+     */
+    private static double parseDecimalPart(String s) {
+        if (s == null || s.isEmpty()) return 0;
+
+        double value = 0;
+        double currentNum = 0;
+        for (int i = 0; i < s.length(); i++) {
+            char c = s.charAt(i);
+            if (DIGIT_MAP.containsKey(c)) {
+                currentNum = DIGIT_MAP.get(c);
+            } else if (BIG_UNIT_MAP.containsKey(c)) {
+                if (currentNum > 0 || i == 0) {
+                    double v = currentNum == 0 ? 1 : currentNum;
+                    value += v * BIG_UNIT_MAP.get(c);
+                }
+                currentNum = 0;
+            }
+        }
+        return value;
+    }
+}
diff --git a/ry-ocr-java/src/main/resources/application.yml b/ry-ocr-java/src/main/resources/application.yml
new file mode 100644
index 0000000..3e73c17
--- /dev/null
+++ b/ry-ocr-java/src/main/resources/application.yml
@@ -0,0 +1,44 @@
+server:
+  port: 8802
+  servlet:
+    encoding:
+      charset: UTF-8
+      force: true
+
+spring:
+  application:
+    name: ry-ocr-java
+  servlet:
+    multipart:
+      max-file-size: 30MB
+      max-request-size: 30MB
+  jackson:
+    default-property-inclusion: always
+
+app:
+  version: "0.1.0"
+  upload:
+    max-mb: 20
+    pdf-dpi: 120  # 优化: 150→120, PDF 渲染像素减 36%, 检测/识别都快, 发票字段精度无影响
+  ocr:
+    page-timeout-s: 15
+    total-timeout-s: 60
+    qr-full-ocr: true
+    lang: ch
+    models-dir: "models"
+  # 测试用: 配置白名单允许 fapiao.pdf 目录
+  allowed-dirs:
+    - "E:\\gitee\\guoju-hegui\\guoju0808\\ry-ocr"
+
+logging:
+  level:
+    root: INFO
+    com.ruoyi.ocr: INFO
+  pattern:
+    console: "%clr(%d{HH:mm:ss}){faint} | %clr(%-5p) | %m%n"
+
+springdoc:
+  api-docs:
+    path: /v3/api-docs
+  swagger-ui:
+    path: /swagger-ui.html
diff --git a/ry-vue3/src/views/manager/MeetingDetail.vue b/ry-vue3/src/views/manager/MeetingDetail.vue
index ff7b5f9..a527722 100644
--- a/ry-vue3/src/views/manager/MeetingDetail.vue
+++ b/ry-vue3/src/views/manager/MeetingDetail.vue
@@ -75,16 +75,32 @@
                   <el-table-column prop="bankCard" label="银行卡号码" min-width="160" show-overflow-tooltip />
                   <el-table-column prop="bankBranch" label="开户行" min-width="130" show-overflow-tooltip />
                   <el-table-column prop="idCard" label="身份证号" min-width="170" show-overflow-tooltip />
-                  <el-table-column prop="laborForm" label="劳务形式" min-width="80" show-overflow-tooltip />
-                  <el-table-column label="税前劳务费" width="110" align="right">
+                  <el-table-column label="应发金额" width="110" align="right">
                     <template #default="{ row }">{{ row.feePreTax != null ? '¥ ' + Number(row.feePreTax).toFixed(2) : '-' }}</template>
                   </el-table-column>
-                  <el-table-column label="税金" width="80" align="right">
+                  <el-table-column label="个税税金" width="90" align="right">
                     <template #default="{ row }">{{ row.tax != null ? '¥ ' + Number(row.tax).toFixed(2) : '-' }}</template>
                   </el-table-column>
-                  <el-table-column label="实发劳务费" width="110" align="right">
+                  <el-table-column label="增值税及附加成本" width="130" align="right">
+                    <template #default="{ row }">{{ row.vatAndSurcharge != null ? '¥ ' + Number(row.vatAndSurcharge).toFixed(2) : '-' }}</template>
+                  </el-table-column>
+                  <el-table-column label="实发金额" width="110" align="right">
                     <template #default="{ row }">{{ row.fee != null ? '¥ ' + Number(row.fee).toFixed(2) : '-' }}</template>
                   </el-table-column>
+                  <el-table-column prop="summary" label="摘要" min-width="120" show-overflow-tooltip />
+                  <el-table-column prop="laborForm" label="角色" min-width="90" show-overflow-tooltip />
+                  <el-table-column label="劳务协议" width="120" align="center">
+                    <template #default="{ row }">
+                      <a v-if="row.laborProtocol" :href="row.laborProtocol" target="_blank" class="file-link">查看</a>
+                      <span v-else class="text-muted">-</span>
+                    </template>
+                  </el-table-column>
+                  <el-table-column label="现场照片" min-width="140" show-overflow-tooltip>
+                    <template #default="{ row }">
+                      <span v-if="!row.onSitePhotos" class="text-muted">-</span>
+                      <span v-else>{{ row.onSitePhotos.split(',').length }} 张</span>
+                    </template>
+                  </el-table-column>
                   <el-table-column label="签字" width="70" align="center">
                     <template #default="{ row }">
                       <el-tag v-if="row.handsign" type="success" size="small">已签</el-tag>
@@ -345,18 +361,27 @@
         <el-form-item label="开户行">
           <el-input v-model="attendeeDialog.form.bankBranch" placeholder="如: 北京东城支行" />
         </el-form-item>
-        <el-form-item label="劳务形式">
+        <el-form-item label="角色">
           <el-input v-model="attendeeDialog.form.laborForm" placeholder="如: 授课/主持/评审" />
         </el-form-item>
-        <el-form-item label="税前劳务费">
+        <el-form-item label="应发金额">
           <el-input-number v-model="attendeeDialog.form.feePreTax" :precision="2" :min="0" controls-position="right" style="width:100%" />
         </el-form-item>
-        <el-form-item label="税金">
+        <el-form-item label="个税税金">
           <el-input-number v-model="attendeeDialog.form.tax" :precision="2" :min="0" controls-position="right" style="width:100%" />
         </el-form-item>
-        <el-form-item label="实发劳务费">
+        <el-form-item label="增值税及附加成本">
+          <el-input-number v-model="attendeeDialog.form.vatAndSurcharge" :precision="2" :min="0" controls-position="right" style="width:100%" />
+        </el-form-item>
+        <el-form-item label="实发金额">
           <el-input-number v-model="attendeeDialog.form.fee" :precision="2" :min="0" controls-position="right" style="width:100%" />
         </el-form-item>
+        <el-form-item label="摘要">
+          <el-input v-model="attendeeDialog.form.summary" placeholder="备注/说明" maxlength="500" show-word-limit />
+        </el-form-item>
+        <el-form-item label="现场照片">
+          <el-input v-model="attendeeDialog.form.onSitePhotos" placeholder="OSS URLs, 多张用逗号分隔" maxlength="1000" />
+        </el-form-item>
         <div v-if="attendeeDialog.editing" class="form-hint">编辑时不能改手机号; 若需改手机号, 请删除后重新添加</div>
       </el-form>
       <template #footer>
@@ -575,7 +600,10 @@ function emptyAttendeeForm() {
     laborForm: '',
     feePreTax: 0,
     tax: 0,
-    fee: 0
+    vatAndSurcharge: 0,
+    fee: 0,
+    summary: '',
+    onSitePhotos: ''
   }
 }
 function resetAttendeeForm() {
@@ -621,7 +649,10 @@ function openAttendeeDialog(row) {
         laborForm: row.laborForm || '',
         feePreTax: row.feePreTax ?? 0,
         tax: row.tax ?? 0,
-        fee: row.fee ?? 0
+        vatAndSurcharge: row.vatAndSurcharge ?? 0,
+        fee: row.fee ?? 0,
+        summary: row.summary || '',
+        onSitePhotos: row.onSitePhotos || ''
       },
       saving: false
     }