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microsoft/markitdown

Python tool for converting files and office documents to Markdown.

Python ◇ autogen MIT
★187.3KSTARS
⑂13.8KFORKS
!697ISSUES
🏆#26GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for microsoft/markitdown
CSV

Momentum

+4.7K

STARS · LAST 30 DAYS

156

PER DAY

#7

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+1.1K+4.7K+14K
Per day156156156
Forks gained+69+277+692

markitdown gained 4.7K stars in the last 30 days, about 156 a day, and now has 187.3K. It is about 2 years old and has averaged roughly 93.6K stars a year. It ranks #7 among Python repositories and #26 across all languages on GitHubRepo.

Trending Record

markitdown has maintained a continuous presence across global trending indexes, peaking at #26. Below is the 30-day activity profile:

💡 Overview

markitdown is an open-source project written in Python: Python tool for converting files and office documents to Markdown.

Engineered for speed, consistency, and developer ease, it solves common hurdles in autogen, autogen-extension, langchain. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install markitdown

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

markitdown coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with markitdown.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install markitdown using your package manager: `pip install markitdown`

2

Initialize your project workspace or configuration file for markitdown.

3

Import markitdown into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `markitdown --help` to verify successful setup.

👍 Strengths

Active community backing with 186,772 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

microsoft/markitdown is currently ranked #26 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#21 ultraworkers/claw-code Rust ★ 195.3K Compare ↗
#22 yt-dlp/yt-dlp Python ★ 193.9K Compare ↗
#23 microsoft/vscode TypeScript ★ 193.2K Compare ↗
#24 massgravel/Microsoft-Activation-Scripts Batchfile ★ 192.1K Compare ↗
#25 ohmyzsh/ohmyzsh Shell ★ 190K Compare ↗
#26 microsoft/markitdown This Project Python ★ 187.3K
#27 avelino/awesome-go Go ★ 185.9K Compare ↗
#28 firecrawl/firecrawl TypeScript ★ 185.7K Compare ↗
#29 ollama/ollama Go ★ 181.8K Compare ↗
#30 flutter/flutter Dart ★ 179.1K Compare ↗
#31 github/gitignore — ★ 176K Compare ↗

Frequently Asked Questions

What does markitdown do? +

Python tool for converting files and office documents to Markdown.

What language is markitdown written in? +

The primary language is Python. Topics include: autogen, autogen-extension, langchain, markdown, microsoft-office.

Is markitdown actively maintained? +

Yes, the last recorded push was on Sep 21, 2026 with 697 open issues being tracked.

How many stars does markitdown have? +

markitdown has 187,292 stars and 13,835 forks on GitHub.

How does markitdown rank among GitHub repositories? +

With 187,292 stars, microsoft/markitdown is ranked #26 globally across all repositories tracked on GitHubRepo and #7 among Python projects.

What license is markitdown distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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