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README
Apache-2.0

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简介

PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库,助力开发者训练出更好的模型,并应用落地。

近期更新

  • 🔥2022.5.11~13 每晚8:30【超强OCR技术详解与产业应用实战】三日直播课

    • 11日:开源最强OCR系统PP-OCRv3揭秘
    • 12日:云边端全覆盖的PP-OCRv3训练部署实战
    • 13日:OCR产业应用全流程拆解与实战

    赶紧扫码报名吧!

  • 🔥2022.5.9 发布PaddleOCR release/2.5
    • 发布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;
    • 发布半自动标注工具PPOCRLabelv2:新增表格文字图像、图像关键信息抽取任务和不规则文字图像的标注功能;
    • 发布OCR产业落地工具集:打通22种训练部署软硬件环境与方式,覆盖企业90%的训练部署环境需求;
    • 发布交互式OCR开源电子书《动手学OCR》,覆盖OCR全栈技术的前沿理论与代码实践,并配套教学视频。
  • 2021.12.21 发布PaddleOCR release/2.4
    • OCR算法新增1种文本检测算法(PSENet),3种文本识别算法(NRTRSEEDSAR);
    • 文档结构化算法新增1种关键信息提取算法(SDMGR),3种DocVQA算法(LayoutLM、LayoutLMv2,LayoutXLM)。
  • 2021.9.7 发布PaddleOCR release/2.3
    • 发布PP-OCRv2,CPU推理速度相比于PP-OCR server提升220%;效果相比于PP-OCR mobile 提升7%。
  • 2021.8.3 发布PaddleOCR release/2.2
    • 发布文档结构分析PP-Structure工具包,支持版面分析与表格识别(含Excel导出)。

更多

特性

支持多种OCR相关前沿算法,在此基础上打造产业级特色模型PP-OCRPP-Structure,并打通数据生产、模型训练、压缩、预测部署全流程。

上述内容的使用方法建议从文档教程中的快速开始体验

快速开始

《动手学OCR》电子书

开源社区

  • 加入社区👬: 微信扫描二维码并填写问卷之后,加入交流群领取福利

    • 获取5月11-13日每晚20:30《OCR超强技术详解与产业应用实战》的直播课链接
    • 10G重磅OCR学习大礼包:《动手学OCR》电子书,配套讲解视频和notebook项目;66篇OCR相关顶会前沿论文打包放送,包括CVPR、AAAI、IJCAI、ICCV等;PaddleOCR历次发版直播课视频;OCR社区优秀开发者项目分享视频。
  • 社区贡献🏅️:社区贡献文档中包含了社区用户使用PaddleOCR开发的各种工具、应用以及为PaddleOCR贡献的功能、优化的文档与代码等,是官方为社区开发者打造的荣誉墙,也是帮助优质项目宣传的广播站。

  • 社区常规赛🎁:社区常规赛是面向OCR开发者的积分赛事,覆盖文档、代码、模型和应用四大类型,以季度为单位评选并发放奖励,赛题详情与报名方法可参考链接

PP-OCR系列模型列表(更新中)

模型简介 模型名称 推荐场景 检测模型 方向分类器 识别模型
中英文超轻量PP-OCRv3模型(16.2M) ch_PP-OCRv3_xx 移动端&服务器端 推理模型 / 训练模型 推理模型 / 训练模型 推理模型 / 训练模型
英文超轻量PP-OCRv3模型(13.4M) en_PP-OCRv3_xx 移动端&服务器端 推理模型 / 训练模型 推理模型 / 训练模型 推理模型 / 训练模型
中英文超轻量PP-OCRv2模型(13.0M) ch_PP-OCRv2_xx 移动端&服务器端 推理模型 / 训练模型 推理模型 / 预训练模型 推理模型 / 训练模型
中英文超轻量PP-OCR mobile模型(9.4M) ch_ppocr_mobile_v2.0_xx 移动端&服务器端 推理模型 / 预训练模型 推理模型 / 预训练模型 推理模型 / 预训练模型
中英文通用PP-OCR server模型(143.4M) ch_ppocr_server_v2.0_xx 服务器端 推理模型 / 预训练模型 推理模型 / 预训练模型 推理模型 / 预训练模型

更多模型下载(包括多语言),可以参考PP-OCR 系列模型下载,文档分析相关模型参考PP-Structure 系列模型下载

文档教程

效果展示 more

PP-OCRv3 中文模型
PP-OCRv3 英文模型
PP-OCRv3 多语言模型
PP-Structure 文档分析
  • 版面分析+表格识别
  • SER(语义实体识别)
  • RE(关系提取)

许可证书

本项目的发布受Apache 2.0 license许可认证。

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简介

基于飞桨的OCR工具库,包含总模型仅8.6M的超轻量级中文OCR,单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测、文本识别的训练算法。 展开 收起
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