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‎docs/index.en.md

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- navigation
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<div align="center">
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<p>
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/Banner.png" alt="PaddleOCR Banner"></a>
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</p>
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Since its initial release, PaddleOCR has gained widespread acclaim across academia, industry, and research communities, thanks to its cutting-edge algorithms and proven performance in real-world applications. It’s already powering popular open-source projects like Umi-OCR, OmniParser, MinerU, and RAGFlow, making it the go-to OCR toolkit for developers worldwide.
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On May 20, 2025, the PaddlePaddle team unveiled PaddleOCR 3.0, fully compatible with the official release of the [PaddlePaddle 3.0](https://github.com/PaddlePaddle/Paddle) framework. This update further **boosts text-recognition accuracy**, adds support for **multiple text-type recognition** and **handwriting recognition**, and meets the growing demand from large-model applications for **high-precision parsing of complex documents**. When combined with the **ERNIE 4.5T**, it significantly enhances key-information extraction accuracy. PaddleOCR 3.0 also introduces support for domestic hardware platforms such as **KUNLUNXIN** and **Ascend**.
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Three Major New Features in PaddleOCR 3.0
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- 🖼️ Universal-Scene Text Recognition Model [PP-OCRv5](./docs/version3.x/algorithm/PP-OCRv5/PP-OCRv5.en.md): A single model that handles five different text types plus complex handwriting. Overall recognition accuracy has increased by 13 percentage points over the previous generation.
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- 🧮 General Document-Parsing Solution [PP-StructureV3](./docs/version3.x/algorithm/PP-StructureV3/PP-StructureV3.en.md): Delivers high-precision parsing of multi-layout, multi-scene PDFs, outperforming many open- and closed-source solutions on public benchmarks.
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- 📈 Intelligent Document-Understanding Solution [PP-ChatOCRv4](./docs/version3.x/algorithm/PP-ChatOCRv4/PP-ChatOCRv4.en.md): Natively powered by the WenXin large model 4.5T, achieving 15.7 percentage points higher accuracy than its predecessor.
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In addition to providing an outstanding model library, PaddleOCR 3.0 also offers user-friendly tools covering model training, inference, and service deployment, so developers can rapidly bring AI applications to production.
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<div align="center">
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/Arch.png" alt="PaddleOCR Architecture"></a>
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</p>
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</div>
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You can [Quick Start](#-quick-start) directly, find comprehensive documentation in the [PaddleOCR Docs](https://paddlepaddle.github.io/PaddleOCR/main/index.html), get support via [Github Issus](https://github.com/PaddlePaddle/PaddleOCR/issues), and explore our OCR courses on [OCR courses on AIStudio](https://aistudio.baidu.com/course/introduce/25207).
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## 🔄 Quick Overview of Execution Results
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<img src="https://github.com/PaddlePaddle/PaddleOCR/releases/download/v2.9.1/PaddleOCR_log.png" align="middle" width = "600"/>
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<p>
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/demo.gif" alt="PP-OCRv5 Demo"></a>
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</p>
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/blue_v3.gif" alt="PP-StructureV3 Demo"></a>
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</p>
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## 👩‍👩‍👧‍👦 Community
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* 👫 Join the [PaddlePaddle Community](https://github.com/PaddlePaddle/community), where you can engage with [paddlepaddle developers](https://www.paddlepaddle.org.cn/developercommunity), researchers, and enthusiasts from around the world.
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* 🎓 Learn from experts through workshops, tutorials, and Q&A sessions [hosted by the AI Studio](https://aistudio.baidu.com/learn/center).
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* 🏆 Participate in [hackathons, challenges, and competitions](https://aistudio.baidu.com/competition) to showcase your skills and win exciting prizes.
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* 📣 Stay updated with the latest news, announcements, and events by following our [Twitter](https://x.com/PaddlePaddle) and [WeChat](https://mp.weixin.qq.com/s/MAdo7fZ6dfeGcCQUtRP2ag).

‎docs/index.md

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<img src="https://github.com/PaddlePaddle/PaddleOCR/releases/download/v2.9.1/PaddleOCR_log.png" align="middle" width = "600"/>
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/Banner_cn.png" alt="PaddleOCR Banner"></a>
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</p>
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PaddleOCR自发布以来凭借学术前沿算法和产业落地实践，受到了产学研各方的喜爱，并被广泛应用于众多知名开源项目，例如：Umi-OCR、OmniParser、MinerU、RAGFlow等，已成为广大开发者心中的开源OCR领域的首选工具。2025年5月20日，飞桨团队发布**PaddleOCR 3.0**，全面适配[飞桨框架3.0](https://github.com/PaddlePaddle/Paddle)正式版，进一步**提升文字识别精度**，支持**多文字类型识别**和**手写体识别**，满足大模型应用对**复杂文档高精度解析**的旺盛需求，结合**文心大模型4.5 Turbo**显著提升关键信息抽取精度，并新增**对昆仑芯、昇腾等国产硬件**的支持。
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PaddleOCR 3.0**新增**三大特色能力：：
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- 🖼️全场景文字识别模型[PP-OCRv5](docs/version3.x/algorithm/PP-OCRv5/PP-OCRv5.md)：单模型支持五种文字类型和复杂手写体识别；整体识别精度相比上一代**提升13个百分点**。
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- 🧮通用文档解析方案[PP-StructureV3](docs/version3.x/algorithm/PP-StructureV3/PP-StructureV3.md)：支持多场景、多版式 PDF 高精度解析，在公开评测集中**领先众多开源和闭源方案**。
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- 📈智能文档理解方案[PP-ChatOCRv4](docs/version3.x/algorithm/PP-ChatOCRv4/PP-ChatOCRv4.md)：原生支持文心大模型4.5 Turbo，精度相比上一代**提升15.7个百分点**。
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PaddleOCR 3.0除了提供优秀的模型库外，还提供好学易用的工具，覆盖模型训练、推理和服务化部署，方便开发者快速落地AI应用。
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/Arch_cn.png" alt="PaddleOCR Architecture"></a>
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</p>
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您可直接[快速开始](#-快速开始)，或查阅完整的 [PaddleOCR 文档](https://paddlepaddle.github.io/PaddleOCR/main/index.html)，或通过 [Github Issues](https://github.com/PaddlePaddle/PaddleOCR/issues) 获取支持，或在 [AIStudio 课程平台](https://aistudio.baidu.com/course/introduce/25207) 探索我们的 OCR 课程。
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## 🔄 快速一览运行效果
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/demo.gif" alt="PP-OCRv5 Demo"></a>
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<a href="https://paddlepaddle.github.io/PaddleOCR/latest/en/index.html" target="_blank">
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<img width="100%" src="./images/blue_v3.gif" alt="PP-StructureV3 Demo"></a>
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</p>
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## 👩‍👩‍👧‍👦 开发者社区
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* 👫 加入 [PaddlePaddle 开发者社区](https://github.com/PaddlePaddle/community)，与全球开发者、研究人员互动交流
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* 🎓 通过 AI Studio 的 [技术研讨会](https://aistudio.baidu.com/learn/center) 学习前沿技术
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* 🏆 参与 [黑客马拉松](https://aistudio.baidu.com/competition) 展示才能，赢取奖励
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* 📣 关注 [微信公众号](https://mp.weixin.qq.com/s/MAdo7fZ6dfeGcCQUtRP2ag) 获取最新动态

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