Popular GitHub Repositories for Markdown Converter

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Easily train a good VC model with voice data <= 10 mins!

✍ WeChat Markdown Editor | 一款高度简洁的微信 Markdown 编辑器：支持 Markdown 语法、自定义主题样式、内容管理、多图床、AI 助手等特性

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）

一款专注于记录和写作的跨端 AI 笔记应用。

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

An easy to use PyTorch to TensorRT converter

OpenMMLab Model Deployment Framework

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

README file generator, powered by AI.

快速提取音视频内容，整理成一份结构化的markdown笔记

Export and Share your ChatGPT conversation history

Secure and local AI on your desktop with a built-in RAG knowledge base and Markdown note support.

:anchor: GROWI - Team collaboration software using markdown

The React library for LLMs

Open-source platform for extracting structured data from documents using AI.

AI-powered markdown note taking app - leverage vector embeddings and LLMs with your knowledge base - 100% local or in the cloud