MarkItDown

MarkItDown

Code & Development
Microsoft
Open SourceFree

About

Microsoft's lightweight Python utility that converts files to Markdown for LLM use — supports PDF, PowerPoint, Word, Excel, images (EXIF+OCR), audio (transcription), HTML, YouTube URLs, EPUBs and more.

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Our Verdict

Recommended

The de-facto standard for converting files to LLM-ready Markdown.

MarkItDown solves a fundamental problem for the AI ecosystem: preparing real-world documents for LLM ingestion. Its broad format coverage (PDF, PPT, Word, Excel, images, audio, HTML, YouTube), simple one-command CLI, and Python library make it extraordinarily easy to integrate.\n\nBuilt by the Microsoft AutoGen team and MIT-licensed, it is arguably the most trusted option in this space with 173K+ stars. For RAG pipelines, document Q&A, or any workflow that needs clean text from messy files, MarkItDown is the reference choice. Output is optimized for LLM consumption rather than human reading, which is exactly what most AI workflows need.

Best for

  • Developers and teams building RAG pipelines, document Q&A systems, or any AI workflow that needs clean Markdown extraction from PDF, Office, image, audio or web content.

Consider alternatives if

  • If you need high-fidelity human-readable conversions, consider native document tools instead of LLM-optimized ones (e.g. dedicated PDF/Office converters).

Supported Platforms

WindowsmacOSLinuxAPI

Available platforms include Windows, macOS, Linux, and API.

Key Features

Converts PDF, PowerPoint, Word, Excel, HTML, CSV, JSON, XML, EPUB and more to Markdown
Image support with EXIF metadata extraction and OCR
Audio support with speech transcription
YouTube URL support (extracts video metadata)
ZIP file iteration over contents
CLI with stdin/stdout piping and -o output flag
Python library with convert_* granular functions (convert_stream, convert_local)
Built by the Microsoft AutoGen team

Pricing

free
Free and open source (MIT)

Use Cases

Preparing documents (PDF, PPT, Word) as Markdown for LLM context ingestion
Building RAG pipelines that need clean structured text extraction
Converting web pages and YouTube videos into LLM-friendly content

Pros

173K+ stars — one of the most popular document conversion tools in the AI ecosystem
Wide format coverage with a single unified Markdown output
Simple CLI and Python API, easy to integrate into any pipeline
Built by Microsoft AutoGen team, MIT licensed
Actively maintained with regular releases

Cons

Output fidelity is not always perfect for human consumption — optimized for LLM ingestion
OCR quality depends on the underlying engine
848 open issues at verification time (large project, busy issue tracker)

Latest Update

July 2026: MarkItDown continues active development by the Microsoft AutoGen team with 173K+ stars, expanding format support and improving OCR/document structure preservation.

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