MarkItDown: convert 20+ file types to markdown for AI & LLM Ingestion
MarkItDown can convert different file types into AI / LLmeme friendly markdowns. Tool by Microsoft (microslop? to be less sloppy ? đŸ˜‰ ). Library provides multiple converters for various files like PDFs, Word docs, spreadsheets, presentations and so on into a clean Markdown format. Aim is to make messy documents readable and structured so the input provided will be of higher quality.
MarkItDown is a LLM powered library
Traditional converters often fail on complex or scanned documents due to rigid rules and have problems handling edge cases that, simply, weren`t taken into consideration. MarkItDown uses machine learning for semantic parsing (hallucinations ? ) therefore achieving higher accuracy (that is of course based on benchmarks that we all know cannot be biased :)).
MCP to get them all
It includes MCP server support so hopefully we can send the data ‘inside’ and get back a nice markdown file with everything we need.
What is supported ?
Handling multiple formats is a true benefit. We do not need a dedicated library for excel files ( remember apache-poi ? đŸ™‚ ), word suite or pdfs with some OCR. One library to rule them all ?
| Format Category | Specific Formats |
|---|---|
| Office Documents | PDF, DOCX (Word), PPTX (PowerPoint), XLSX (Excel), XLS (older Excel), Outlook messages |
| Images & Media | Images (EXIF + OCR), Audio (WAV/MP3: EXIF + transcription), YouTube URLs |
| Text & Structured | HTML, CSV, JSON, XML, EPubs, ZIP archives (recursive) |
| Advanced | Azure document digestion |
How it works
Specialized converters: rule-based for simple formats like HTML or CSV, and ML-powered for complex ones like PDFs to OCR using tools. Extracts content semantically
Semantically in the LLM scope means understanding meaning, context, relationships between words/tokens beyond surface syntax. Comes as a vector embedding.
Syntax: “The bank is by the river”
Semantics: Knows “bank” = financial institution OR riverbank based on context
Detecting tables as Markdown tables, images with OCR dscription or audio files transcribed.
Since every file has a mime type it is quite easy to provide a dedicated tool. Dependencies are modular (e.g., [pdf] for Adobe tools), allowing lightweight installs.
Key Features and Usage
You can get it all using pip install 'markitdown[all]' for full functionality.
Getting started is simple: install via pip, then markitdown file.pdf > output.md. have fun in any pipeline or agent context conversion (don`t remember to askthe user for verification).
Real-World Impact for Developers
For WordPress devs or AI engineers, MarkItDown streamlines blog content extraction or RAG pipelines from client docs. Pair it with Vue.js/TypeScript stacks for automated workflows. MD is beeing handled directly by wordpress so the markdown files will transalte into a nice formatting of a blog post. Please don`t use it to make AI slop
Read More
- Main GitHub Repository: https://github.com/microsoft/markitdown
- Detailed README: https://github.com/microsoft/markitdown/blob/main/README.md
- Article on Remio: https://www.remio.ai/post/microsoft-markitdown-open-source-tool-for-markdown-conversion-and-ai-document-parsing
- Node.js Discussion: https://github.com/microsoft/markitdown/discussions/190
- Image Issue: https://github.com/microsoft/markitdown/issues/162
- All Issues: https://github.com/microsoft/markitdown/issues
