OCR PDF

Extract text from scanned PDFs — get a .txt file or searchable PDF.

Drop your scanned PDF here
or click to choose a file
Your file never leaves your browser — processed locally, nothing uploaded

Extract Text from Scanned PDF Free — Copy Any Document Instantly

A scanned PDF stores text as pixels, not characters — you can see the words but you can't select, copy, or search them. PDFree unlocks the text using OCR and gives you two outputs: a plain .txt file you can paste into any editor, and a searchable PDF where Ctrl+F and text selection work directly.

No upload. No account. No page limit on desktop. Your document stays on your device the entire time.

Two ways to get the text out

📄
Plain .txt file

All extracted text with page separators. Paste directly into Word, Google Docs, Excel, Notion, or any text field. Best for editing or reusing content.

🔍
Searchable PDF

Original scan preserved exactly. Ctrl+F and copy work in any PDF reader. Best for archiving, sharing, or working inside a PDF viewer.

Enable "Also download .txt copy" in the OCR options to download both files at the same time.

How to extract text from a scanned PDF

1
Drop your PDF above

PDFree immediately checks if the file is image-only or already has a text layer. Text-layer PDFs are extracted instantly with no OCR download needed.

2
Turn on .txt output

In the OCR options, tick Also download .txt copy. This gives you the raw text as a separate file alongside the searchable PDF.

3
Select the document language

18 languages supported. Select the one that matches your document — accuracy depends on this. Install the OCR engine if prompted (one-time 17 MB, cached forever after).

4
Download and use the text

Both files download automatically. Open the .txt in any editor or paste directly. Open the searchable PDF in any PDF reader for Ctrl+F and text selection.

What you can do with the extracted text

  • Edit in Word or Google Docs — paste the .txt and format as needed; skip retyping the entire document
  • Copy a single passage — open the searchable PDF, select the text you need, and copy with Ctrl+C
  • Search through old archives — find specific clauses in scanned contracts or terms in legal filings instantly
  • Feed into translation tools — extract text from a foreign-language scanned document, then translate
  • Import into spreadsheets — structured data from scanned invoices or forms can be copied into Excel
  • Process programmatically — the .txt file can be read by scripts, indexing tools, or data pipelines

How accurate is the extracted text?

Accuracy depends on the scan quality. PDFree shows a confidence score per page after OCR — you can see exactly which pages extracted cleanly.

Scan condition Expected accuracy
300 DPI, clean white background, standard font Excellent (90%+)
200 DPI, minor shadows or slight skew Good (80–90%)
150 DPI or colored background Fair (60–80%) — review recommended
Below 150 DPI, heavy noise, handwriting Poor — rescan at higher DPI for best results

Frequently asked questions

Does the PDF get uploaded when extracting text?

No. OCR runs entirely in your browser using Tesseract.js. Your PDF never touches any server. Open DevTools → Network and you will see zero uploads while processing.

Can I extract text from a PDF that isn't scanned?

Yes. For PDFs created digitally (from Word, Google Docs, or any app), PDFree detects the existing text layer and extracts it instantly — no OCR engine or download needed. The result is the same .txt file and searchable PDF.

What languages can text be extracted from?

18 languages: English, French, German, Spanish, Italian, Portuguese, Russian, Uzbek, Dutch, Polish, Turkish, Arabic, Japanese, Chinese Simplified, Chinese Traditional, Korean, Hindi, and Thai. Select the correct language before running OCR for best accuracy.

Can I extract text from a password-protected PDF?

PDFree can attempt to read password-protected PDFs without a password when the restriction is only on editing or copying (not opening). If the PDF requires a password to open, you will need to remove the password first using a tool with the owner password.

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