Tuairiscigh Fabht / Iarratas Gné
PDF Extractor PDF to Text Academic Paper Extractor Research Paper to Text arXiv PDF Extractor More →

PDF to Markdown

Úsáid tráchtála OK 380 + samhlacha Gan chomhartha uisce Níl aon síniú ag teastáil
Samhail:
+ GPT-5, Claude, Gemini
Drop a PDF — AI converts it into clean GitHub-flavored Markdown with headings, paragraphs, lists, tables, and code blocks all preserved. Powered by IBM Granite-Docling-258M (Apache 2.0). Faster + smarter than plain text extraction.

Drop a PDF here or click to upload

PDF up to 50 MB. ~200 tokens per page.

— —
Extracting layout-aware Markdown… ~5-10 sec/page
Ardroghanna
Toradh
Comharthaí íseal. Get More Tokens
Want better results? Samhlacha Préimhe (GPT-5, Claude, Gemini) deliver higher quality. View Plans

❤️ Love Free.ai? Tell your friends!

Cláraigh chun nasc atreoraithe a fháil agus 25,000 comhartha a thuilleamh in aghaidh an chairde.

Want níos mó? Cláraigh saor in aisce le haghaidh 5K comharthaí / lá + bónas 10K
Cláraigh le haghaidh saor in aisce

D'iarratas á phróiseáil...

Convert any PDF into clean GitHub-flavored Markdown with headings, tables, lists, and code blocks preserved. Powered by IBM Granite-Docling. Free, unlimited, no signup.

Conas a Úsáid PDF to Markdown

1
Cuir isteach d' ionchur

Clóscríobh téacs, uaslódáil comhad, nó déan cur síos ar an méid atá uait. Níl aon chuntas ag teastáil.

2
Cliceáil chun a ghiniúint

Próiseálann ár AI d'iarratas i soicindí ag baint úsáide as na samhlacha foinse oscailte is fearr.

3
Íosluchtaigh agus comhroinn

Íoslódáil, cóipeáil nó do thoradh a roinnt. Saor in aisce le haghaidh úsáide pearsanta agus tráchtála.

Úsáid an uirlis seo trí API

Uathoibriú an uirlis seo ó do chód féin. OpenAI-comhoiriúnach REST pointe deiridh, Bearer-comhartha fíordheimhnithe, aon SDK breise ag teastáil. Costais comhartha mheaitseáil leis an comhéadan gréasáin.

Doiciméadú API Faigh Eochair API 
curl -X POST https://api.free.ai/v1/chat/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen7b", "messages": [{"role": "user", "content": "Use the PDF to Markdown tool on: ..."}]}'

Uirlisí AI Saor in Aisce

PDF Extractor
PDF to Text
Academic Paper Extractor
Research Paper to Text
arXiv PDF Extractor

PDF to Markdown — FAQ

Drop in any PDF and the AI converts it into clean GitHub-flavored Markdown — headings stay headings, tables stay tables, lists stay lists, code blocks stay code blocks. Goes way beyond plain text extraction; the document's structural hierarchy is preserved so you can drop the output straight into a docs site, an LLM RAG pipeline, or a search index.

IBM Granite-Docling-258M (Apache 2.0). Tiny vision-to-sequence model fine-tuned for layout-aware document conversion — beats pdftotext + much faster + smarter than running a generic vision-language model on each page.

pdftotext is a flat dump — paragraphs and tables collapse into a wall of words. Adobe Export to Word preserves layout but produces .docx + costs ~$15/mo. Docling preserves the SEMANTIC structure (heading levels, lists as lists, tables as Markdown tables) and outputs a format LLMs and dev tools can both consume natively.

LlamaParse and unstructured both have free tiers but cap pages/month and require an API key. Docling-258M runs locally on our GPU + is fully self-hosted Apache 2.0, no per-page metering, no key signup. Quality is competitive with LlamaParse on standard documents.

Yes — tables come back as proper Markdown pipe-tables. Complex multi-column / nested tables are flattened more aggressively (a fundamental Markdown limitation, not the model's fault). For perfect table fidelity, we also support `format=html` via the API which preserves rowspan/colspan.

Granite-Docling does the OCR step itself — works on born-digital AND scanned PDFs alike. Scanned at lower DPI (<150) loses some text accuracy; rescan at 200+ DPI for best results.

Most LaTeX-rendered equations come through as inline `$...$` Markdown math. For research papers with heavy math, we also offer the academic-paper-extract tool (Nougat) which is specifically tuned for equations and citations.

About 5-10 seconds per page on our H200. A 30-page report is ~3-5 minutes. Tiny model means batches of small PDFs are essentially free in the daily pool.

200 tokens per page, with a 500-token floor. A 5-page contract = 1,000 tokens. A 30-page report = 6,000 tokens. The 5K daily free pool covers most typical use.

PDF — born-digital + scanned both supported. Max 50 MB upload. Other document formats (DOCX, EPUB, HTML, etc.) are on the roadmap; for now upload-and-convert with the pdf-conversion tool first.

Processed immediately, the Markdown output is kept (24h anonymous / 7d paid share-link expiry), the source PDF is deleted right after extraction. Never used for training. /privacy/ for the full policy.

Yes — POST a multipart `file` to /v1/document/pdf-to-markdown/. Returns {markdown_url, pages, preview, tokens, share_url}. Bearer auth (sk-free-…) gives 10K free tokens/month. /api/ has the curl example.

Cláraigh saor in aisce le haghaidh 10,000 comharthaí

Cruthaigh Cuntas Saor in Aisce

Níl aon chárta creidmheasa ag teastáil

Conas a ráthófá an uirlis seo?

Like this tool? Share it!