Convert PDF, Word, Excel, PowerPoint, images, HTML and more into clean Markdown. Free, no signup.
Powered by Microsoft MarkItDown — 100K+ GitHub stars
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.pdf · .docx · .xlsx · .pptx · .html · .htm · .csv · .txt · .md · .png · .jpg · .jpeg · .webp
Up to 10 MB · files deleted after conversion
Step 1
Upload
Drag in a PDF, Word doc, spreadsheet, slide deck, image, HTML or CSV file.
Step 2
Convert
MarkItDown parses the file and returns clean, structured Markdown in seconds.
Step 3
Copy or download
Review the preview, then copy the Markdown or save it as a .md file.
Format-specific pages with examples, limits, and guidance.
The format that survives every tool change.
Markdown keeps the structure you need and drops the binary baggage you do not. It is easy to edit, easy to diff, and easy to move across documentation systems, AI workflows, and long-lived internal knowledge bases.
# Product review
## Highlights
- Clean headings
- Searchable lists
- Git-friendly edits
| Source | Reuse |
| --- | --- |
| PDF | ChatGPT |
| DOCX | RAG |Plain text, real structure
01Markdown keeps headings, lists, code blocks, and tables in a format that almost every tool can render. Unlike PDF or DOCX, it stays editable in any text editor, versionable line by line in git, and ready for static site generators and documentation platforms.
Natural input for LLMs
02ChatGPT, Claude, and other large language models understand Markdown natively because so much of their training data came from READMEs, product docs, and technical articles. Clean Markdown usually produces better summaries and extraction results than raw HTML or PDF-extracted text.
Chunked for retrieval
03Markdown makes it easy to split documents on real section boundaries instead of arbitrary character counts. That is why tools like LangChain's MarkdownTextSplitter and LlamaIndex's MarkdownNodeParser exist: semantically coherent chunks retrieve better than unstructured plain text.
Portable across docs stacks
04GitHub, Notion, Confluence, Docusaurus, MkDocs, and Obsidian can all ingest, render, or round-trip Markdown as a clean source format. Converting your existing files to Markdown is usually the first step in moving content into a text-first system.
Clean Markdown in. Better retrieval out.
any2markdown is built for the documents-to-AI pipeline. The output is clean, structured Markdown optimized for LLM consumption, with heading hierarchy preserved and tables rendered in Markdown syntax that models can actually parse.
The goal is not a pixel-perfect replica of the original file. The goal is a Markdown source that is ready for ChatGPT, Claude, and RAG ingestion.
any2markdown optimizes for LLM consumption, not pixel-perfect page replication. Heading hierarchy is preserved, boilerplate is minimized, and tables stay in Markdown table syntax models can parse.
Skim the result before sending it downstream. Trim page numbers, repeated headers, and export noise so your model or index sees the useful content first.
Use the cleaned Markdown directly in ChatGPT or Claude, or send it into your RAG pipeline as the source text for summarization, extraction, and document Q&A.
For internal knowledge assistants, keep the Markdown as the durable source of truth. Review updates in git, then re-index only when documents actually change.
The browser-friendly way to try MarkItDown before you wire up the CLI.
MarkItDown is Microsoft's open-source Python utility for converting documents and files into clean Markdown for LLM and text analysis workflows. any2markdown gives you the same browser-first conversion flow without installing Python, creating a virtual environment, or learning the CLI first.
100K+
GitHub stars
Built on Microsoft's MarkItDown for the actual file-to-Markdown conversion.
Upload, preview, copy, and download without Python, a virtual environment, or the CLI.
Inspect output quality in the browser before wiring the Python package into a larger workflow.
In-depth articles on document conversion, Markdown for AI, and related workflows.
PDF, DOCX, XLSX, PPTX, HTML, CSV, TXT, Markdown, and images (PNG, JPG, JPEG, WebP).
No. Uploads are processed temporarily and deleted right after the conversion completes. Nothing is stored server-side.
Yes. The current public tool accepts files up to 10 MB each.
The browser flow is faster for one-off conversions and team use. No CLI, no Python setup, no dependency management.
Yes. Markdown is the preferred input format for both ChatGPT and Claude. Paste the converted Markdown into the conversation for summarization, analysis, or Q&A over your document content.
Image-based PDFs go through OCR. Results depend on scan quality — high-resolution scans of printed text produce clean output; low-resolution or handwritten scans need more manual cleanup.
Yes. The current public conversion workflow is free and requires no account.
Not in this public deployment. For local or pipeline use today, Microsoft's open-source MarkItDown library is the right starting point.
Export your Google Doc as .docx (File → Download → Microsoft Word) or your Sheet as .xlsx (File → Download → Microsoft Excel), then upload the exported file.
MarkItDown is an open-source Python library published by Microsoft Research (MIT-licensed) that converts files to Markdown. any2markdown wraps it in a browser interface so you can use it without installing Python or the CLI.
Built on Microsoft's open-source MarkItDown. See Privacy and Terms.