PDF to Markdown
Extract PDF text with layout preserved. Paste into ChatGPT, Claude, Notion, or any AI tool.
Server-side processing
Your PDF is uploaded over HTTPS, processed with pdftotext (Poppler), then deleted. Output is plain text — works as Markdown for LLM input.
Extract PDF text with layout preserved. Paste into ChatGPT, Claude, Notion, or any AI tool for sharper responses.
Extract PDF to Markdown has become a standard workflow for anyone working with AI. When you feed a PDF directly to ChatGPT or Claude through a "chat with PDF" feature, internal extraction often loses document structure — headings flatten into paragraphs, tables turn into mush, and the model wastes attention disambiguating layout.
Markdown changes that. Large language models are trained on text, including billions of pages of Markdown. They process structured headings, lists, and indentation natively. Extracting PDF to Markdown yourself, then pasting the cleaned text into your preferred AI, almost always produces sharper, more accurate responses.
Pick Rack's PDF to Markdown tool uses [pdftotext](https://en.wikipedia.org/wiki/Pdftotext) (Poppler) with the -layout flag to preserve columns and indentation. Output is plain text, valid as Markdown, ready for LLM input.
Key features
- Layout preserved — Multi-column layouts, indented lists, and table-like structures retain their relative positions.
- AI-ready output — Plain text that ChatGPT, Claude, Gemini all process natively. Better than PDF binary input every time.
- Copy or download — Click Copy to paste straight into a chat tab, or Download .md to save to your Notion / Obsidian / Git repo.
- Server-side speed — Poppler pdftotext is a C library — extracts a 100-page PDF in 1-3 seconds.
- No signup, no watermark — Output is the raw extraction. No promotional text, no quota, no daily limit.
How to use
- Step 1: Upload PDF — Drop or click to add a single PDF (up to 30MB). Text-based PDFs work; scanned image PDFs need OCR first.
- Step 2: Click Extract to Markdown — Server processes in 1-5 seconds for typical files.
- Step 3: Review the output — Output shows in a scrollable preview. Check that the structure looks right.
- Step 4: Copy or download — Copy to clipboard for pasting into AI chats, or Download .md to save the file.
When to use
- Feed long PDFs to ChatGPT / Claude for accurate summaries, Q&A, and analysis
- Build RAG pipelines — Markdown is the standard input format for chunking and embedding
- Import research papers to Obsidian or Notion while preserving document structure
- Archive PDFs as searchable text for command-line grep or indexed search
- Generate AI training data from a corpus of PDF reference materials
- Translate or rewrite long PDFs by feeding the Markdown to a translation/rewriting AI
Frequently asked questions
Why Markdown instead of just PDF chat?
Most "chat with PDF" features use opaque internal extraction that may merge headings, fragment tables, or skip footnotes. Doing the extraction yourself with this tool, then feeding clean Markdown to your preferred AI, almost always produces 30-50% better responses on long documents.
Does this output have Markdown syntax like # headers?
Output is plain text with layout preserved (indentation, line breaks, columns). It does NOT add Markdown heading marks (#, ##) or list bullets — the source PDF doesn't carry that semantic information. The output IS valid Markdown (plain text always is) and works as LLM input regardless.
Will scanned PDFs work?
No. Scanned PDFs are images without a text layer — pdftotext returns an empty result. Use OCR first to add a text layer, then run extraction. Tesseract (free, open source) is the standard OCR for this.
How much text can I extract?
File size limit is 30MB, which usually covers 100-300+ page PDFs depending on density. There's no character or word limit on the output.
Are tables extracted correctly?
Tables become space-aligned text rows — readable for AI but not Markdown table syntax. For better table handling on complex tables, paid tools like LlamaParse can output cleaner Markdown tables.
Is my PDF private during extraction?
The PDF uploads over HTTPS to our server, is processed by pdftotext in a temp directory, and the temp files are deleted immediately. Nothing is logged or stored. The text output is returned and shown in your browser only.
What about DOCX, XLSX, PPTX support?
Currently PDF only. Multi-format extraction (Word, Excel, PowerPoint to Markdown) is planned. For those formats today, try Microsoft's open-source MarkItDown or Pandoc.