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docs: Update README #13543

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230 changes: 23 additions & 207 deletions README.md
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206 changes: 24 additions & 182 deletions README_en.md
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- Full-process experience of training, inference, and high-performance deployment in the Paddle AI suite (PaddleX)：
- PP-OCRv4：<https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286>
- PP-ChatOCR：<https://aistudio.baidu.com/aistudio/modelsdetail?modelId=332>
- Mobile demo experience：[Installation DEMO](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)(Based on EasyEdge and Paddle-Lite, support iOS and Android systems)
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- PP-ChatOCRv2-doc 在线体验地址：<https://aistudio.baidu.com/community/app/70303>

- 一行命令快速使用：[快速开始（中英文/多语言/文档分析）](./ppocr/quick_start.md)
- 移动端 demo 体验：[安装包 DEMO 下载地址](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)(基于 EasyEdge 和 Paddle-Lite, 支持 iOS 和 Android 系统)
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comments: true
---

### RECENT UPDATES
### Recently Update

#### 2022.5.9 release PaddleOCR v2.5, including

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### 更新

#### 2024-06-06 **📚直播和OCR实战打卡营预告**

《PP-ChatOCRv2赋能金融报告信息智能化抽取，新金融效率再升级》课程上线，破解复杂版面、表格识别、信息抽取OCR解析难题，直播时间：6月6日（周四）19：00。并于6月11日启动【政务采购合同信息抽取】实战打卡营。报名链接：<https://www.wjx.top/vm/eBcYmqO.aspx?udsid=197406>

#### **🔥2024.5.10 上线星河零代码产线(OCR 相关)**

全面覆盖了以下四大 OCR 核心任务，提供极便捷的 Badcase 分析和实用的在线体验

- [通用 OCR](https://aistudio.baidu.com/community/app/91660) (PP-OCRv4)。
- [通用表格识别](https://aistudio.baidu.com/community/app/91661) (SLANet)。
- [通用图像信息抽取](https://aistudio.baidu.com/community/app/91662) (PP-ChatOCRv2-common)。
- [文档场景信息抽取](https://aistudio.baidu.com/community/app/70303) (PP-ChatOCRv2-doc)。

同时采用了 **[全新的场景任务开发范式](https://aistudio.baidu.com/pipeline/mine)** ,将模型统一汇聚，实现训练部署的零代码开发，并支持在线服务化部署和导出离线服务化部署包。

#### 🔥2023.8.7 发布 PaddleOCR [release/2.7](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.7)

- 发布[PP-OCRv4](./doc/doc_ch/PP-OCRv4_introduction.md)，提供 mobile 和 server 两种模型
- PP-OCRv4-mobile：速度可比情况下，中文场景效果相比于 PP-OCRv3 再提升 4.5%，英文场景提升 10%，80 语种多语言模型平均识别准确率提升 8%以上
- PP-OCRv4-server：发布了目前精度最高的 OCR 模型，中英文场景上检测模型精度提升 4.9%， 识别模型精度提升 2%
可参考[快速开始](./doc/doc_ch/quickstart.md) 一行命令快速使用，同时也可在飞桨 AI 套件(PaddleX)中的[通用 OCR 产业方案](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286)中低代码完成模型训练、推理、高性能部署全流程

#### 🔨**2022.11 新增实现[4 种前沿算法](doc/doc_ch/algorithm_overview.md)**：文本检测 [DRRG](doc/doc_ch/algorithm_det_drrg.md), 文本识别 [RFL](doc/doc_ch/algorithm_rec_rfl.md), 文本超分[Text Telescope](doc/doc_ch/algorithm_sr_telescope.md)，公式识别[CAN](doc/doc_ch/algorithm_rec_can.md)

#### **2022.10 优化[JS 版 PP-OCRv3 模型](./deploy/paddlejs/README_ch.md)**：模型大小仅 4.3M，预测速度提升 8 倍，配套 web demo 开箱即用

- **💥 直播回放：PaddleOCR 研发团队详解 PP-StructureV2 优化策略**。微信扫描[下方二维码](#开源社区)，关注公众号并填写问卷后进入官方交流群，获取直播回放链接与 20G 重磅 OCR 学习大礼包（内含 PDF 转 Word 应用程序、10 种垂类模型、《动手学 OCR》电子书等）

#### **🔥2022.8.24 发布 PaddleOCR [release/2.6](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6)**

- 发布[PP-StructureV2](./ppstructure/README_ch.md)，系统功能性能全面升级，适配中文场景，新增支持[版面复原](./ppstructure/recovery/README_ch.md)，支持**一行命令完成 PDF 转 Word**；
- [版面分析](./ppstructure/layout/README_ch.md)模型优化：模型存储减少 95%，速度提升 11 倍，平均 CPU 耗时仅需 41ms；
- [表格识别](./ppstructure/table/README_ch.md)模型优化：设计 3 大优化策略，预测耗时不变情况下，模型精度提升 6%；
- [关键信息抽取](./ppstructure/kie/README_ch.md)模型优化：设计视觉无关模型结构，语义实体识别精度提升 2.8%，关系抽取精度提升 9.1%。

#### **2022.8 发布 [OCR 场景应用集合](./applications)**：包含数码管、液晶屏、车牌、高精度 SVTR 模型、手写体识别等**9 个垂类模型**，覆盖通用，制造、金融、交通行业的主要 OCR 垂类应用

#### 2022.5.9 发布PaddleOCR v2.5。发布内容包括

- [PP-OCRv3](./ppocr_introduction.md#pp-ocrv3)，速度可比情况下，中文场景效果相比于PP-OCRv2再提升5%，英文场景提升11%，80语种多语言模型平均识别准确率提升5%以上；
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nav_translations:
Home: Home
快速开始: Quick Start
近期更新: Recently Update
模型: Model
概述: Overview
PP-OCR 文本检测识别: PP-OCR
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nav:
- Home: index.md
- 快速开始: quick_start.md
- 近期更新: update.md
- 模型:
- 概览: model/index.md
- 多硬件安装飞桨:
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