Open-Source AI · Document AI & OCR

MarkItDown vs Unstructured

MarkItDown vs Unstructured compared for 2026 — features, license, ease of use, performance and which one to choose. Turn any office document into clean Markdown vs Turn any file into LLM-ready data.

Updated regularly · curated by olud.ai

Choose MarkItDown for anyone preparing office documents for RAG or a long-context prompt. Choose Unstructured for teams ingesting many file types into one pipeline.

MarkItDown vs Unstructured at a glance

SpecMarkItDownUnstructured
CategoryDocument AI & OCRDocument AI & OCR
TypeDocument converter (Python CLI)ETL for documents
LicenseMITApache-2.0
Runs locallyYesSelf-hosted
Primary languagePythonPython
Ease of useBeginnerIntermediate
Best foranyone preparing office documents for RAG or a long-context promptteams ingesting many file types into one pipeline
GitHub stars166.9k15.4k

How MarkItDown and Unstructured score

🏆 Overall edge: MarkItDown — 4.9 vs 4.3 / 5
CriterionMarkItDownUnstructured
Popularity5.03.5
Maintenance4.55.0
Ease of use5.03.5
Privacy5.04.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

MarkItDown

Document converter (Python CLI) · MIT

MarkItDown is a Microsoft tool that converts PDF, Word, PowerPoint, Excel, images and audio into Markdown, so documents can be fed to a language model without the formatting noise that wastes tokens and confuses retrieval.

  • One command for a dozen document formats
  • Runs entirely locally: no document leaves your machine
  • Maintained by Microsoft, with LangChain and AutoGen integrations
See the MarkItDown page →

Unstructured

ETL for documents · Apache-2.0

Unstructured extracts and normalizes content from PDFs, HTML, Word, emails and more into clean elements ready for embedding and RAG ingestion.

  • One API for dozens of file formats
  • Chunking strategies designed for RAG
  • Widely adopted in the LLM data stack
See the Unstructured page →

Key differences

MarkItDown is document converter (Python CLI), while Unstructured is eTL for documents. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. MarkItDown leans more beginner-friendly, whereas Unstructured is more suited to intermediate users. They also differ in how they run (Yes vs Self-hosted). In short, MarkItDown fits anyone preparing office documents for RAG or a long-context prompt, and Unstructured fits teams ingesting many file types into one pipeline.

Which should you choose?

Choose MarkItDown for anyone preparing office documents for RAG or a long-context prompt. Choose Unstructured for teams ingesting many file types into one pipeline.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is MarkItDown or Unstructured easier to use?

MarkItDown is generally the easier of the two to get started with, while Unstructured rewards more setup with more control.

Are MarkItDown and Unstructured free?

MarkItDown is free and open source (MIT), and Unstructured is free and open source (Apache-2.0). Neither charges for the core software.

Can I run MarkItDown and Unstructured locally?

MarkItDown: yes · Unstructured: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

MarkItDown vs Unstructured — which should I pick in 2026?

Choose MarkItDown for anyone preparing office documents for RAG or a long-context prompt. Choose Unstructured for teams ingesting many file types into one pipeline.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →