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Parse PDFs Online

Drop it in. Get results instantly.

A free online parser powered by @firecrawl/pdf-inspector-wasm. It classifies your PDF (text-based / scanned / image-based / mixed) and converts the content into clean Markdown. Everything runs inside your browser — nothing uploaded, nothing stored, gone when you close the tab.

parse pdf online

Online Demo

Drop or pick a PDF to see its detected type, then grab the Markdown.

Drop a PDF here, or click to browse

Parsing runs locally in your browser — files are never uploaded

PDFMarkdownType detectionMulti-columnTablesCJK ready

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Why a local-first online tool

Most online PDF tools upload your file to their servers. This one doesn't.

🔒 Files never leave your device

The WebAssembly engine is downloaded into your browser with the page; the PDF stays on your machine the whole time. Safe for contracts, financial reports, and medical records.

🆓 Free, truly unlimited

No account, no page caps, no daily quotas, no watermarks. Parsing happens on your own hardware, so there's no server bill to pass on to you.

⚡ Second-level responses

Text-based PDFs finish in under 200ms; classification takes ~10–50ms. Speed depends on your device, not a queue on someone else's server.

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What this tool does

One drop, two deliverables: a health check and the content

Classification

📄 Know if your PDF is readable

Get a TextBased / Scanned / ImageBased / Mixed verdict with a confidence score. Scanned files are flagged as needing OCR instead of coming back as garbage.

Extraction

📝 Extract text as Markdown

Heading levels, multi-column reading order, lists, tables, and links are reconstructed as GitHub-Flavored Markdown — ready to paste into notes or feed to RAG.

Privacy

🛡️ Zero-upload architecture

You can verify it yourself in DevTools: apart from the engine itself, no request containing file content ever leaves the tab. See our privacy policy.

Export

💾 Copy / download .md

Copy the Markdown preview in one click or download it as a .md file; page markers stay in the text so you can trace results back to source pages.

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Use cases

From everyday office work to AI data engineering

  • Papers & reports: two-column papers come out in correct reading order, paste cleanly into Obsidian or Notion.
  • RAG preprocessing: Markdown with heading levels and tables is ideal chunking material for retrieval-augmented generation.
  • Sensitive documents: contracts and statements never leave your machine — compliance-friendly by design.
  • Pipeline spot-checks: verify document types and conversion quality online before wiring up batch automation.

💡 Need batch automation? Grab the CLI or a library from the install page, usage in the quick-start guide.

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FAQ

Common questions about the online parser.

Is my PDF uploaded to a server?

No. The WebAssembly engine parses inside your browser; the file lives only in the current tab's memory and is released when you close the page. This site has no backend that could receive files.

Are there page-count or size limits?

No artificial ones. The practical ceiling is your device's memory (the tab's available RAM); documents of several hundred pages are fine.

Does it work on scanned PDFs?

The browser demo includes no OCR — it will clearly report the scan and explain why. The native packages (Rust / Node.js / Python) ship optional selective OCR for just the pages that need it. See Is my PDF text-based or scanned?.

How accurate is the result?

The online demo runs the same engine as the open-source library: #1 overall score of 0.875 on the official opendataloader-bench, also first in tables and reading order — details on the benchmark page.

Does it work on mobile?

Yes. Any modern mobile browser supports WebAssembly — just open this page; landscape orientation helps for reading long Markdown output.

Go further

Like it?
Put it in your project.

Distributed via npm / PyPI / crates.io, plus a CLI for batch jobs.
MIT licensed, free for commercial use.