Convert any document into clean, LLM-ready Markdown
Turn PDFs, Word, PowerPoint, Excel, HTML, and images into tidy Markdown that language models understand — headings, lists, and tables preserved. Free, fast, and no signup.
PDF, DOCX, PPTX, XLSX, HTML, CSV, images — up to 50 MB
Auto (recommended): per-page routing — pages with a real text layer are parsed directly, scanned pages are sent to OCR. Best for most documents.
How it works
Upload
Drop a PDF, Office file, or image. It uploads straight to encrypted storage — we never hold it for long.
Parse & OCR
Each page is routed automatically: digital text is parsed directly; scanned pages go through our OCR model.
Get Markdown
Preview, copy, or download clean Markdown — structure, lists, and tables intact, ready to paste into any LLM.
Supported formats
Why Markdown for LLMs?
Structure survives
Headings, lists, and tables are preserved instead of collapsing into a wall of text.
Fewer tokens
Markdown is far more compact than HTML or raw PDF dumps — cheaper, faster prompts.
Better retrieval
Clean, sectioned text chunks well for RAG pipelines and improves answer quality.
Frequently asked questions
Is OCRtoMD free?
Yes. Converting documents with a text layer (PDF, Word, PowerPoint, Excel, HTML, CSV) is free with no signup. Heavy OCR of scanned pages will have a generous free allowance with a paid tier for large volumes.
What file types are supported?
PDF, DOCX, PPTX, XLSX/XLS, HTML, CSV, and common image formats (PNG, JPG, GIF, BMP, TIFF, WEBP). Files up to 50 MB.
Why convert documents to Markdown for LLMs?
Markdown keeps structure — headings, lists, and tables — in a compact, plain-text form that language models parse reliably. It improves RAG retrieval quality and uses fewer tokens than HTML or raw PDF text.
Are my uploaded files stored?
No long-term storage. Uploads are encrypted, never public, and auto-deleted within about a day; converted output is removed within a week.
Does it handle scanned PDFs and images?
Born-digital pages convert today. OCR for scanned pages and images (powered by our own document OCR model) is rolling out — those pages currently return a placeholder.