Markdown Conversion · Cloudflare Workers AI docs
Markdown is essential for text generation and large language models (LLMs) in training and inference because it can provide structured, semantic, huma...
Python Library
Summary
MarkItDown is a lightweight Python tool by Microsoft that converts PDFs, Office documents, images, audio, HTML, and archives into Markdown. It is designed for feeding structured document content into LLMs and text analysis pipelines.
Highlights
- Supports 10+ file types including PDF, PowerPoint, Word, Excel, images with OCR, audio with transcription, HTML, CSV/JSON/XML, ZIP, YouTube URLs, and EPubs
- Now offers an MCP (Model Context Protocol) server for direct integration with LLM applications like Claude Desktop
- Uses optional feature-group dependencies (pip install 'markitdown[all]' for full support), keeping it lightweight for users who only need specific formats
- Breaking changes in 0.1.0: DocumentConverter now reads from binary file-like streams rather than file paths, and convert_stream() requires binary mode
- Output is optimized for machine consumption by LLMs rather than high-fidelity human-readable document reproduction
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Context
Audience
Developers building LLM applications or text analysis pipelines who need to convert diverse document formats into a structured, token-efficient text format
DomainDocument Processing and LLM Integration
Formatopen-source library with CLI and API
Accessopen source on GitHub, free via pip
Source Overview
MarkItDown is an open-source Python tool by Microsoft that converts multiple file types—including PDFs, Office documents, images (with OCR and EXIF), audio (with transcription), HTML, and archives—into Markdown format.
The tool uses a modular architecture with registered converters for each format and supports optional dependencies for activating specific file types. Its command-line interface and API are designed for integration with LLMs and text analysis pipelines, and it offers extensibility through plugins and Docker support.
PDFs require pre-extraction for text, as MarkItDown lacks built-in OCR for PDF documents.
Topics
Related
textractMCP (Model Context Protocol)Claude DesktopOCRSpeech transcriptionLLM document ingestion pipelines
