If you've been building LLM-powered applications, you've likely run into the same problem: your data lives in PDFs, Word documents, Excel sheets, and PowerPoint decks — but your AI pipeline expects clean text. Copy-pasting doesn't scale, and most conversion tools either strip too much structure or produce noisy output.

Microsoft's MarkItDown is built specifically for this gap. It's a lightweight Python utility that converts a wide range of file formats into Markdown, preserving the structure that matters: headings, tables, lists, and links.

What Is MarkItDown?

MarkItDown is a Python library (and CLI tool) that converts files and documents into Markdown. It is not designed for pixel-perfect human-readable output. The explicit goal is to feed text into LLMs and text analysis pipelines — and Markdown is the right format for that because most large language models understand it natively and it is highly token-efficient.

Supported formats include: