base on Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices) [English](README_en.md) | 简体中文 <p align="center"> <img src="https://github.com/PaddlePaddle/PaddleOCR/releases/download/v2.8.0/PaddleOCR_logo.png" align="middle" width = "600"/> <p align="center"> <p align="center"> <a href="https://discord.gg/z9xaRVjdbD"><img src="https://img.shields.io/badge/Chat-on%20discord-7289da.svg?sanitize=true" alt="Chat"></a> <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a> <a href="https://github.com/PaddlePaddle/PaddleOCR/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleOCR?color=ffa"></a> <a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a> <a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a> <a href="https://pypi.org/project/PaddleOCR/"><img src="https://img.shields.io/pypi/dm/PaddleOCR?color=9cf"></a> <a href="https://github.com/PaddlePaddle/PaddleOCR/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleOCR?color=ccf"></a> </p> ## 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。 <div align="center"> <img src="https://github.com/PaddlePaddle/PaddleOCR/releases/download/v2.8.0/demo.gif" width="800"> </div> ## 🚀 社区 PaddleOCR 由 [PMC](https://github.com/PaddlePaddle/PaddleOCR/issues/12122) 监督。Issues 和 PRs 将在尽力的基础上进行审查。欲了解 PaddlePaddle 社区的完整概况，请访问 [community](https://github.com/PaddlePaddle/community)。 ⚠️注意：[Issues](https://github.com/PaddlePaddle/PaddleOCR/issues)模块仅用来报告程序🐞Bug，其余提问请移步[Discussions](https://github.com/PaddlePaddle/PaddleOCR/discussions)模块提问。如所提Issue不是Bug，会被移到Discussions模块，敬请谅解。 ## 📣 近期更新([more](https://paddlepaddle.github.io/PaddleOCR/latest/update.html)) - 🔥🔥《PaddleOCR 2.9 发布，正式开源文本图像智能分析利器》，文本图像版面解析实现高精度实时预测，低代码全流程开发加速产业应用。集成文本图像矫正、版面区域检测、常规文本检测、印章文本检测、文本识别、表格识别等多功能。6条模型产线一键调用，显著降低开发成本。支持高性能推理、服务化部署和端侧部署等多种部署方式。**10月24日（周四）19：00**直播为您深度解析最新升级亮点。 [报名链接](https://www.wjx.top/vm/PExy7cM.aspx?udsid=896077) - **🔥2024.10.1 添加OCR领域低代码全流程开发能力**: - 飞桨低代码开发工具PaddleX，依托于PaddleOCR的先进技术，支持了OCR领域的低代码全流程开发能力： - 🎨 [**模型丰富一键调用**](https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/quick_start.html)：将文本图像智能分析、通用OCR、通用版面解析、通用表格识别、公式识别、印章文本识别涉及的**17个模型**整合为6条模型产线，通过极简的**Python API一键调用**，快速体验模型效果。此外，同一套API，也支持图像分类、目标检测、图像分割、时序预测等共计**200+模型**，形成20+单功能模块，方便开发者进行**模型组合**使用。 - 🚀[**提高效率降低门槛**](https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/overview.html)：提供基于**统一命令**和**图形界面**两种方式，实现模型简洁高效的使用、组合与定制。支持**高性能推理、服务化部署和端侧部署**等多种部署方式。此外，对于各种主流硬件如**英伟达GPU、昆仑芯、昇腾、寒武纪和海光**等，进行模型开发时，都可以**无缝切换**。 - 支持文档场景信息抽取v3[PP-ChatOCRv3-doc](https://paddlepaddle.github.io/PaddleX/latest/pipeline_usage/tutorials/information_extraction_pipelines/document_scene_information_extraction.html)、基于RT-DETR的[高精度版面区域检测模型](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/layout_detection.html)和PicoDet的[高效率版面区域检测模型](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/layout_detection.html)、高精度表格结构识别模型[SLANet_Plus](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/table_structure_recognition.html)、文本图像矫正模型[UVDoc](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/text_image_unwarping.html)、公式识别模型[LatexOCR](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/formula_recognition.html)、基于PP-LCNet的[文档图像方向分类模型](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/doc_img_orientation_classification.html) - **🔥2024.7 添加 PaddleOCR 算法模型挑战赛冠军方案**： - 赛题一：OCR 端到端识别任务冠军方案——[场景文本识别算法-SVTRv2](https://paddlepaddle.github.io/PaddleOCR/latest/algorithm/text_recognition/algorithm_rec_svtrv2.html)； - 赛题二：通用表格识别任务冠军方案——[表格识别算法-SLANet-LCNetV2](https://paddlepaddle.github.io/PaddleOCR/latest/algorithm/table_recognition/algorithm_table_slanet.html)。 ## 🌟 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-OCR、PP-Structure和PP-ChatOCR，并打通数据生产、模型训练、压缩、预测部署全流程。 <div align="center"> <img src="./docs/images/ppocrv4.png"> </div> ## ⚡ [快速开始](https://paddlepaddle.github.io/PaddleOCR/latest/quick_start.html) ## 🔥 [低代码全流程开发](https://paddlepaddle.github.io/PaddleOCR/latest/paddlex/overview.html) ## 📝 文档 完整文档请移步：[docs](https://paddlepaddle.github.io/PaddleOCR/latest/) ## 📚《动手学 OCR》电子书 - [《动手学 OCR》电子书](https://paddlepaddle.github.io/PaddleOCR/latest/ppocr/blog/ocr_book.html) ## 🎖 贡献者 <a href="https://github.com/PaddlePaddle/PaddleOCR/graphs/contributors"> <img src="https://contrib.rocks/image?repo=PaddlePaddle/PaddleOCR&max=400&columns=20" width="800"/> </a> ## ⭐️ Star [](https://star-history.com/#PaddlePaddle/PaddleOCR&Date) ## 许可证书 本项目的发布受 [Apache License Version 2.0](./LICENSE) 许可认证。 ", Assign "at most 3 tags" to the expected json: {"id":"2512","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"