2025.6.29 v3.1.0 released
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Key Models and Pipelines:
- Added PP-OCRv5 Multilingual Text Recognition Model, which supports the training and inference process for text recognition models in 37 languages, including French, Spanish, Portuguese, Russian, Korean, etc. Average accuracy improved by over 30%. Details
- Upgraded the PP-Chart2Table model in PP-StructureV3, further enhancing the capability of converting charts to tables. On internal custom evaluation sets, the metric (RMS-F1) increased by 9.36 percentage points (71.24% -> 80.60%).
- Newly launched document translation pipeline, PP-DocTranslation, based on PP-StructureV3 and ERNIE 4.5 Turbo, which supports the translation of Markdown format documents, various complex-layout PDF documents, and document images, with the results saved as Markdown format documents. Details
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New MCP server: Details
- Supports both OCR and PP-StructureV3 pipelines.
- Supports three working modes: local Python library, AIStudio Community Cloud Service, and self-hosted service.
- Supports invoking local services via stdio and remote services via Streamable HTTP.
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Documentation Optimization: Improved the descriptions in some user guides for a smoother reading experience.
2025.6.29 v3.1.0 发布
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重要模型和产线：
- 新增 PP-OCRv5 多语种文本识别模型，支持法语、西班牙语、葡萄牙语、俄语、韩语等 37 种语言的文字识别模型的训推流程。平均精度涨幅超30%。详情
- 升级 PP-StructureV3 中的 PP-Chart2Table 模型，图表转表能力进一步升级，在内部自建测评集合上指标（RMS-F1）提升 9.36 个百分点（71.24% -> 80.60%）。
- 新增基于 PP-StructureV3 和 ERNIE 4.5 Turbo 的文档翻译产线 PP-DocTranslation，支持翻译 Markdown 格式文档、各种复杂版式的 PDF 文档和文档图像，结果保存为 Markdown 格式文档。详情
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新增MCP server：详情
- 支持 OCR 和 PP-StructureV3 两种工具；
- 支持本地Python库、星河社区云服务、自托管服务三种工作模式；
- 支持通过 stdio 调用本地服务，通过 Streamable HTTP 调用远程服务。
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文档优化： 优化了部分使用文档描述，提升阅读体验。