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MarkItDown

MarkItDown is a lightweight Python utility for converting PDFs, Word docs, Excel files, images, audio, and more to Markdown for LLM pipelines.

112.9K stars7.3K forks

What is MarkItDown?

What is MarkItDown?

MarkItDown is an open-source Python utility from Microsoft that converts virtually any document format into clean Markdown. PDF, PowerPoint, Word, Excel, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, EPUB, ZIP archives, and YouTube URLs are all supported out of the box. Its primary design goal is preparing documents for consumption by large language models, where Markdown's minimal markup and high token efficiency make it the ideal intermediate format.

Who it's for

MarkItDown is aimed at developers building LLM-powered document pipelines, researchers processing large document corpora, and data engineers who need a reliable, scriptable way to normalize heterogeneous file types. It is particularly valuable for teams building retrieval-augmented generation (RAG) systems, where ingesting diverse file formats into a vector store is a recurring pain point.

Key capabilities
  • Converts PDF, PowerPoint, Word, Excel, images, audio, HTML, CSV, JSON, XML, EPUB, ZIP, and YouTube URLs
  • Preserves important document structure: headings, lists, tables, and links
  • Command-line interface for quick conversions and shell pipeline integration
  • Python API for programmatic use inside larger workflows
  • MCP (Model Context Protocol) server integration for direct use in Claude Desktop and similar LLM tools
  • Optional dependency groups for fine-grained control over which formats are enabled
  • No temporary files created — pure in-memory stream processing
Why choose it over paid alternatives?

Adobe Acrobat Pro, Docparser, and various cloud-based document extraction SaaS tools charge per page or per API call for the same conversions MarkItDown handles locally and for free. With over 112,000 GitHub stars — making it one of the most-starred Python developer tools of the past year — MarkItDown has proven reliability at scale. Because it runs locally, sensitive documents never leave your infrastructure, and there are no rate limits or per-document fees regardless of volume.

GitHub Activity

112.9KStars
7.3KForks

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