PDF to Markdown Converter
Turn digital and scanned PDFs into clean, structured Markdown — real headings, GFM tables, LaTeX formulas and separated blocks instead of one flat text dump. Every block stays linked to its spot on the page, so you can audit the output before it goes into your docs, notes or LLM pipeline.
How it works
- 1
Upload the PDF — born-digital or scanned, single page or a long report.
- 2
The document parser rebuilds headings, paragraphs, lists, tables and formulas as structured blocks.
- 3
Review blocks against the rendered pages, drop headers and footers if you want, then export Markdown.
Why OhMyOCR
Structure-preserving Markdown
Headings become #-levels, tables become GFM tables, and display formulas come out as LaTeX — ready for static sites, wikis, Obsidian or Notion.
Built for LLM and RAG inputs
Clean Markdown with layout noise removed is what retrieval pipelines want. Strip headers, footers and page numbers at export so chunks stay meaningful.
Auditable, block by block
Every parsed block points to its exact region on the original page. When a table or formula matters, verify it in one click instead of trusting the dump.
Scanned PDFs included
Scans and photographed pages go through AI OCR first, then the same structured rebuild — no separate workflow.
Why Markdown became the target format for documents
Markdown is what wikis, static-site generators, note tools like Obsidian, and — increasingly — LLM pipelines consume. It is diffable in git, readable as plain text, and free of the layout baggage that makes PDF content hard to reuse. Converting a PDF to Markdown is usually the first step in making a document useful again.
The catch is quality: naive converters produce a flat wall of text with tables mangled and headings lost. OhMyOCR parses the document into typed blocks first — headings map to #-levels, tables to GFM pipe tables, displayed equations to LaTeX — so the Markdown mirrors the document’s real structure.
Clean Markdown for LLM and RAG pipelines
Retrieval quality is bounded by input quality. When headers, footers and page numbers leak into chunks, embeddings blur and citations point at noise; when a table is flattened into word soup, the model answers from garbage. Structured conversion fixes this at the source.
OhMyOCR detects page furniture as separate blocks so you can exclude it at export, keeps tables and formulas intact, and — uniquely useful for audit — retains per-block source coordinates. When a pipeline answer looks wrong, you can trace the chunk back to the exact region of the original page it came from. JSON export with coordinates is available alongside Markdown.
Frequently asked questions
How do I convert a PDF to Markdown?
Upload the PDF to the OhMyOCR workspace, wait for parsing to finish, review the blocks, then choose Export → Markdown. Headings, tables, lists and formulas are preserved in the .md file.
Does it work on scanned PDFs?
Yes. Scanned pages are recognized with AI OCR before the Markdown rebuild, and each page is rendered in the workspace so you can compare the output side by side.
Can I remove headers, footers and page numbers?
Yes. Header and footer blocks are detected separately, and the export center lets you exclude them so the Markdown contains only real content.
Is the output good enough for LLM / RAG pipelines?
That is a primary use case. Structured Markdown with tables and formulas intact, plus optional JSON export with block coordinates, gives retrieval pipelines much cleaner chunks than flat OCR text.
How are tables and math handled?
Tables export as GFM pipe tables (or Excel/CSV if you prefer), and displayed equations are recognized as LaTeX with a live preview you can edit before export.
More free OCR tools
Image → Text
Image to Text Converter
PDF → Text
PDF to Text Converter (OCR)
Document Parsing
Document Parsing OCR
Image Translation
Image Translator with OCR
Image → Excel
Image to Excel Converter
Handwriting → Text
Handwriting to Text Converter
Screenshot → Text
Screenshot to Text
Math → LaTeX
Math OCR: Image to LaTeX
Image → Word
Image to Word Converter
Receipt → Text / Excel
Receipt OCR: Scan Receipts to Text or Excel
Try it on your own file
Free to start, no credit card, results you can verify line by line.