On-device AI — professional-grade, fully private.

PDF to Text

Extract Text from Scanned PDFs

Text recognition that pulls searchable text from scanned PDF pages in 100+ languages.

  • 100+ languages · Page-by-page text recognition
  • Scanned PDFs, forms, and reports · Copy or download
  • Editable.txt output

Note: First-time language loading may take a few seconds

Pro

Drag & drop PDF

or click to browse · PDF file

How it works:

  • Upload a scanned PDF file
  • Select the language of the text
  • Click Extract Text to process all pages
  • Copy or download the extracted text

Privacy: Your PDFs are never uploaded to any server.

Related Tools

Why use a PDF to Text converter?

PDF text recognition helps you convert scanned pages into searchable, editable text for faster reuse in documents and workflows.

Benefits of PDF text recognition

  • Scanned PDF extraction: Get text from image-based PDFs.
  • Document digitization: Convert archival scans into editable text.
  • Page-by-page control: Review extracted output section by section.
  • Privacy: Text is extracted page by page, with progress shown as it runs.
  • Workflow speed: Reduce manual retyping from scanned documents.

How PDF text recognition works

The tool renders PDF pages as images, detects text regions, recognizes characters, and returns extracted text.

PDF text recognition process

  • Each page is rendered for text recognition analysis.
  • Image preprocessing improves readability.
  • Text detection finds regions containing text.
  • Character recognition converts page content to text.
  • Final output is grouped by page for review and export.

When to use PDF text recognition

Use it for scanned contracts, reports, books, receipts, and forms where text cannot be directly selected.

Ideal use cases

  • Archive digitization: Convert old scanned documents into searchable text.
  • Records processing: Extract content from forms and reports.
  • Research notes: Capture text from scanned books and papers.
  • Data transfer: Move data from PDF scans into editable tools.
  • Translation prep: Extract source text before translation workflows.

PDF text recognition facts

These factors impact extraction quality and speed.

Key quality factors

  • Higher scan resolution usually improves text recognition accuracy.
  • Correct language selection reduces recognition errors.
  • High contrast between text and background helps character detection.
  • Complex layouts may need post-extraction cleanup.
  • Page-by-page review improves final output reliability.

Best practices

Use these guidelines to improve text recognition output quality.

Quality considerations

  • Use clean scans with readable text and minimal blur.
  • Avoid heavy compression artifacts where possible.
  • Pick the right language before processing.
  • Review extracted output and correct key fields manually.
  • Re-run text recognition with improved source scans for critical documents.

When text recognition may not be ideal

  • Very low-quality scans with unclear text.
  • Highly decorative typefaces with poor readability.
  • Documents requiring exact layout preservation only.
  • Strict offline-only policies that disallow web-based tools.

Powered by optimised PDF processing libraries.

Frequently asked questions

Can text recognition extract text from any PDF?

Text recognition works best for scanned or image-based PDFs. Native text PDFs may not need text recognition.

How accurate is PDF text recognition?

Accuracy depends on scan quality, language, and layout complexity.

Does it process multiple pages?

Yes, pages are processed sequentially and output is grouped by page.

Are PDFs uploaded to a server?

No. The recognised text is returned straight to the page, ready to copy or download.

4.7out of 5

from 657 ratings

Rate this tool

Tap a star — it takes a second