PDF Text Extractor
Fast, accurate and free online extractor text from pdf tool running directly in your browser.
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1Enter data
Enter content, paste text or load a file from disk. -
2Click the button
The tool will immediately process your data in the browser. -
3Get the result
Copy the finished text or save the file to your device.
return "Result ready in 0.1s";
}
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Copying text from formatted or scanned PDFs can be challenging. Our tool uses PDF.js to parse the PDF document structure and cleanly extract text, preserving reading order, headings, and paragraphs – fast and directly in your browser without OCR for digital PDFs, and with client-side OCR for scanned documents.
PDF types and extraction methods
Digital PDF (Text-based): Text is embedded as glyph streams – extracted instantly without OCR. Scanned PDF (Image-based): Pages contain raster images – requires OCR (Tesseract.js). Searchable PDF with OCR layer: Text is extracted directly from the pre-existing optical text layer.
Layout and formatting behavior
Reading order: Text flow is reconstructed based on coordinate positioning. Multi-column text: Automatically parsed into logical sequential paragraphs. Headings: Detected via relative font size hierarchy. Tables: Exported as delimited text streams.
Export options
Plain text (TXT): Unformatted raw text. Markdown: Headings (##), bold text, and bullet lists. HTML: Preserved semantic paragraph and heading structure. Custom page ranges: Select specific pages (e.g., pages 1–10) from lengthy documents.
Security and file protection
Client-side processing: Files are parsed locally in memory; your documents are never uploaded to remote servers. Password handling: Supports standard open password decryption in memory.
Frequently Asked Questions
Does the extractor support international characters and Polish diacritics?
Yes, all UTF-8 characters and Polish diacritical letters (ą, ę, ó, ż, ź, ć, ń, ł, ś) are fully supported in digital PDFs and OCR processing.
How can I extract text from a password-protected PDF?
If you know the user opening password, enter it into the prompt when loading the file to decrypt and extract the text locally.
Why does OCR extraction take longer for scanned documents?
OCR performs neural network pixel analysis on every page to recognize letterforms, requiring several seconds per page depending on image resolution.
What is the difference between browser-based extraction and server libraries?
Browser extraction runs 100% client-side via JavaScript, offering instant results with complete document privacy.