OCR PDF — Extract Text From Scans, Free

What is the OCR PDF?

OCR — optical character recognition — reads the text inside images and turns it into real, selectable characters. It is the missing step for scanned PDFs: a scan is just a photograph of a page, so you cannot search it, copy from it, or quote it. Running OCR over the scan extracts the words as text you can copy into documents, search with Ctrl+F, and feed into translation tools. It bridges the gap between paper and digital.

This tool runs OCR entirely in your browser using a full recognition engine. Drop in a scanned PDF, pick the document's language — English plus Spanish, French, German, Italian, Portuguese, Dutch, Arabic and Urdu are supported — and the tool renders each page and reads the text. The extracted text appears on screen and downloads as a plain .txt file, with page markers so you can match text back to the original pages.

A fair warning about speed: OCR is computationally heavy, and each page takes roughly 10–30 seconds depending on your device. That is why the tool processes a limited number of pages per run — start with a few pages to check quality before committing to a long document. The language data downloads once (around 15 MB) the first time you use the tool, and is then cached by your browser.

Accuracy depends on scan quality. Clean, straight, high-contrast scans at 200 DPI or better recognize at 98%+ accuracy; skewed phone photos with shadows do noticeably worse. If your results look garbled, the scan is usually the problem — re-scan at higher resolution rather than re-running OCR. Handwriting, decorative fonts and very small text also challenge the engine, so set expectations accordingly. If a page comes out badly, try rendering at a different zoom in your reader and screenshotting it — a cleaner source image often fixes recognition instantly.

Privacy is the standout advantage here. Scanned documents are often the most sensitive kind — medical records, legal filings, financial statements. Server-based OCR services receive your unredacted scans; this tool never sends a single pixel anywhere. The recognition happens on your device, the text stays on your device, and closing the tab leaves nothing behind. Tables and multi-column layouts are the hardest for OCR to order correctly; expect some jumbling in complex page designs. For those, copying the text and reordering it manually is faster than fighting the engine. Simple single-column documents — letters, contracts, articles — come out cleanly almost every time.

How to use it

1. Drop your scanned PDF — Drag and drop or click to choose the file. Everything stays in your browser — nothing is uploaded.
2. Pick the text language — Choose the language of the document so the engine uses the right character models.
3. Set the page limit — OCR takes 10–30 seconds per page — start with 3–5 pages to check quality on long documents.
4. Wait for recognition — Pages are rendered and read one by one. Keep the tab open; the progress shows which page is processing.
5. Copy or download the text — The extracted text appears with page markers. Copy it or download it as a .txt file.

Common use cases

• Copying text from scanned contracts and agreements
• Making scanned books and articles searchable
• Extracting text from phone-scanned receipts and invoices
• Digitizing paper archives into editable text
• Pulling quotes from scanned academic papers

Tips

• Use clean, straight scans at 200+ DPI for the best accuracy
• Pick the correct language — the wrong model produces gibberish
• Start with 3 pages to check quality before processing a long PDF
• Keep the tab active; background tabs may slow recognition
• Proofread the output — OCR is excellent but not perfect
• For skewed scans, rotate the PDF first for better results

Frequently asked questions

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