explaingit

microsoft/markitdown

121,094PythonAudience · developerComplexity · 2/5MaintainedLicenseSetup · moderate

TLDR

Python utility that converts PDFs, Word docs, PowerPoint, images, audio, and other file formats into clean Markdown text for feeding into AI models and text-processing pipelines.

Mindmap

mindmap
  root((MarkItDown))
    What it does
      Converts files to Markdown
      Extracts structure and text
      Optimized for AI input
    Supported formats
      Office files
      Images and audio
      Web and archives
      Data formats
    How to use
      Command line tool
      Python library
      Plugin system
    Use cases
      Feed docs to LLMs
      Build search indexes
      Process media at scale

Things people build with this

USE CASE 1

Convert a folder of PDFs and Word documents into Markdown to feed into ChatGPT or Claude for analysis.

USE CASE 2

Extract text and structure from PowerPoint slides and Excel sheets to build a searchable knowledge base.

USE CASE 3

Transcribe audio files and convert images with OCR into Markdown for processing by text analysis tools.

USE CASE 4

Batch-convert mixed media (videos, documents, images) into a unified Markdown format for indexing.

Tech stack

PythonpipAzure Document IntelligenceDocker

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Azure Document Intelligence API key and credentials to function.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

MarkItDown is a lightweight Python utility for converting various files into Markdown. In plain terms, Markdown is a simple text format with light markup for headings, lists, tables, and links, and this tool reads in a PDF, Word document, spreadsheet, or other file and spits out the same content as Markdown text. The README explains that the goal is to feed that text into large language models and other text analysis pipelines, where Markdown is preferred because mainstream LLMs natively understand it and it is token-efficient. According to the README, MarkItDown can convert PDF, PowerPoint, Word, Excel, images (extracting EXIF metadata and running OCR), audio (EXIF metadata and speech transcription), HTML, text-based formats like CSV, JSON, and XML, ZIP archives, YouTube URLs, EPubs, and more, while trying to preserve structure such as headings, lists, tables, and links. It is most comparable to textract but with a focus on preserving document structure. You install it from PyPI with pip install 'markitdown[all]', or pick specific format extras like [pdf, docx, pptx]. Python 3.10 or higher is required. From there you can call it as a command-line tool, as a Python library via a MarkItDown class with a convert method, or through a Docker image. The library also supports third-party plugins, an OCR plugin that uses an LLM vision client, and an option to delegate conversion to Azure Document Intelligence. You would use MarkItDown when you want to feed mixed office documents and media into an LLM-powered pipeline and need a uniform text representation rather than handling each format yourself. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
I have a folder of PDFs and Word documents. How do I use MarkItDown to convert them all to Markdown so I can feed them into an LLM?
Prompt 2
Show me how to use MarkItDown as a Python library to convert a PowerPoint file to Markdown and extract the text programmatically.
Prompt 3
I want to extract text and structure from a PDF with tables and images. What MarkItDown command should I run and what will the output look like?
Prompt 4
How do I set up MarkItDown with OCR to extract text from images, and what optional dependencies do I need to install?
Prompt 5
Can I use MarkItDown to convert a YouTube video URL into Markdown? What formats does it support besides office files?
Open on GitHub → Explain another repo

Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.