📖 OCR PDF Extract text from scanned PDFs

Convert scanned PDF pages into editable text using Optical Character Recognition. Works entirely in your browser – no uploads.
or drag & drop a scanned PDF file here
How to OCR PDF – Extract Text from Scanned Documents – Free & Private

Our OCR PDF tool uses Tesseract.js to recognize text from scanned PDF pages. Upload your document, choose language, and get the extracted text as a downloadable file. All processing happens locally – your files never leave your computer.

🔒 100% Local

No upload – privacy guaranteed.

🌍 Multiple Languages

Support for English, French, German, Spanish, Italian, Portuguese, Russian.

⚡ Adjustable Accuracy

Choose rendering scale for speed vs. precision.

📌 How to use this tool

  1. Upload your scanned PDF – Click or drag & drop.
  2. Select OCR language and scale – English by default.
  3. Click “Start OCR” – The tool processes each page and extracts text.
  4. Copy or download the result – Get a plain text file with recognized content.
ℹ️ Note: OCR works best on clean, high‑contrast scans with clear characters. Complex layouts, handwritten text, or very low resolution may affect accuracy. The tool processes pages sequentially; larger PDFs may take a few minutes.

❓ Frequently Asked Questions

🔹 Is my PDF uploaded to a server?
No. The entire OCR process runs in your browser using Tesseract.js. Your document stays private.
🔹 What languages are supported?
English (default), French, German, Spanish, Italian, Portuguese, Russian. More can be added by request.
🔹 Why is OCR slow on large PDFs?
OCR is computationally intensive. The tool processes each page as an image, and Tesseract.js runs in WebAssembly. Larger files take longer but still work offline.
🔹 Can I get a searchable PDF instead of text?
This version outputs plain text (TXT). Future updates may include PDF with hidden text layer.
🔹 Is there a page limit?
PDFs with up to 50 pages are recommended. Very large documents may be resource‑intensive.
🔹 Is this tool free?
Yes, completely free for personal and commercial use, no watermarks or registration.
⚡ Powered by PDF.js + Tesseract.js • Client‑side OCR • No tracking • Works offline after first load