OCR PDF

The server first uses Ghostscript to rasterize every page of your uploaded PDF into a separate PNG image at your chosen resolution (150, 200, or 300 DPI) — higher DPI produces sharper images for recognition but takes longer to process.

Each page image is then run through Tesseract OCR, an open-source text-recognition engine, using the language pack you select (English by default, with other languages available), which analyzes the pixels and outputs the recognized text for that page.

The recognized text from every page is concatenated together with page-number markers and returned as a single downloadable .txt file — this tool extracts text only, it does not produce a new PDF with a text layer overlaid on the images.

Your files are uploaded over an encrypted (SSL) connection. We don't store, read, or share the contents of your files — they're processed to generate your result and are not retained on our servers afterward.

• Making a scanned document's text searchable so you can use Ctrl+F to find a specific word.
• Converting a scanned book chapter into text you can copy, paste, and edit elsewhere.
• Preparing a scanned form for accurate PDF-to-Word conversion.

• Running OCR on a low-quality, blurry, or low-resolution scan and expecting perfect accuracy — OCR accuracy depends heavily on scan quality; a crisp, high-contrast scan produces far better results.
• Not proofreading OCR output for a document where accuracy matters — OCR can misread similar-looking characters (like "0" and "O", or "1" and "l"), especially in poor-quality scans.

• OCR works best on clean, high-contrast, well-lit scans of standard fonts — handwriting and stylized fonts are far less reliable.
• For an important document, always proofread the extracted text rather than trusting it completely.

We respect your privacy. All files are processed securely and are never sold, shared, or used for anything beyond generating your result.