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Run optical character recognition on any scanned or image-only PDF to extract a searchable text layer — free, with no file upload. Powered by Tesseract.js running entirely in your browser via WebAssembly. The result is a fully searchable, selectable PDF where you can copy text and search for content.
Optical Character Recognition (OCR) is the technology that converts page images into machine-readable text. When you scan a physical document, the scanner creates an image of each page — like a photograph. Without OCR, the PDF contains no text data: you cannot search it, copy from it, or use it in any text-processing workflow. Running OCR adds an invisible text layer that mirrors the visual text in the image, making the document fully searchable, selectable, and accessible to screen readers.
Scan at 300 DPI minimum — higher resolution dramatically improves recognition accuracy. Ensure good lighting and straight scanning — skewed pages confuse the character recognition engine. Choose the correct document language in the settings. For documents with mixed content (typed text plus handwriting), typed areas will be recognized accurately; handwritten sections will have lower accuracy. After OCR, use Ctrl+F / Cmd+F in any PDF viewer to confirm the text is searchable.
Clean, high-resolution scans of typed text typically achieve 95–99% accuracy with Tesseract. Handwritten text, low-resolution scans, and unusual fonts have lower accuracy.
No. OCR runs locally in your browser using Tesseract.js via WebAssembly. Your file never leaves your device.
Tesseract supports 100+ languages including English, French, German, Spanish, Arabic, Chinese, Hindi, and many more.
No. The original page appearance is preserved exactly. OCR adds an invisible text layer underneath the page image so the text can be searched and copied.
300 DPI is the recommended minimum for reliable OCR. 200 DPI usually works for clean documents. Below 150 DPI, accuracy drops significantly.