diff --git a/docs/index.md b/docs/index.md index d550cb8..4bb74c6 100644 --- a/docs/index.md +++ b/docs/index.md @@ -57,12 +57,12 @@ hide: |🏗️Project|⭐️Stars|📝Description| |:---|:---|:---| -|[RapidStructure](https://github.com/RapidAI/RapidStructure)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidStructure?style=flat-square)|文档结构化仓库,包括文档方向分类、版面分析和表格识别| +|🔥[RapidDoc](https://github.com/RapidAI/RapidDoc)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidDoc?style=flat-square)|针对文档类图像做内容提取,将文档类图像一比一输出到Word或者Txt中,便于进一步使用或处理。后续计划支持输入PDF/图像,输出对应json格式、Txt格式、Word格式和Markdown格式。| +|[RapidOrientation](https://github.com/RapidAI/RapidOrientation)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOrientation?style=flat-square)|文档方向分类| |[RapidLaTexOCR](https://github.com/RapidAI/RapidLaTeXOCR)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidLaTexOCR?style=flat-square)|公式识别:Formula recognition based on LaTeX-OCR and ONNXRuntime.| |[RapidTable](https://github.com/RapidAI/RapidTable)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidTable?style=flat-square)|源自PP-Structure的表格识别算法,模型转换为ONNX,推理引擎采用ONNXRuntime,部署简单,无内存泄露问题。| |[TableStructureRec](https://github.com/RapidAI/TableStructureRec)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/TableStructureRec?style=flat-square)|整理目前开源的最优表格识别模型,完善前后处理,模型转换为ONNX| |[RapidLayout](https://github.com/RapidAI/RapidLayout)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidLayout?style=flat-square)|Analysis of Chinese and English layouts 中英文版面分析| -|🔥[RapidDoc](https://github.com/RapidAI/RapidDoc)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidDoc?style=flat-square)|针对文档类图像做内容提取,将文档类图像一比一输出到Word或者Txt中,便于进一步使用或处理。后续计划支持输入PDF/图像,输出对应json格式、Txt格式、Word格式和Markdown格式。| |[RapidOCRPDF](https://github.com/RapidAI/RapidOCRPDF)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOCRPDF?style=flat-square)|PDF提取: Based on RapidOCR, extract the PDF content.| |[ExtractOfficeContent](https://github.com/SWHL/ExtractOfficeContent)|![GitHub Repo stars](https://img.shields.io/github/stars/SWHL/ExtractOfficeContent?style=flat-square)|Office内容提取|