đ¤ OCR PDF â Extract Text
Extract text from scanned PDFs and images using optical character recognition. Supports multiple languages. Fully local processing.
Click to upload a scanned PDF or image
Supports PDF, JPG, PNG â text will be extracted via OCR
đ How OCR Works
Optical Character Recognition (OCR) converts images of text into machine-readable text. This tool uses Tesseract.js, the JavaScript port of the world's most accurate open-source OCR engine (Google's Tesseract).
When processing a scanned PDF, each page is rendered to an image using pdf.js, then analyzed by Tesseract.js to detect and recognize text characters. The engine supports multiple languages with pre-trained models that are downloaded on-demand.
All processing happens in your browser. The OCR language models are loaded from a CDN but your actual document content is never transmitted anywhere. This makes it safe for sensitive documents.
â Frequently Asked Questions
Accuracy depends on image quality, font type, and language. For clean, typed documents at 200+ DPI, expect 95-99% accuracy. Handwritten text, low resolution scans, and unusual fonts may have lower accuracy.
OCR is computationally intensive. The first run downloads the language model (~2-15 MB) and initializes the engine. Subsequent pages are faster. Typically expect 5-30 seconds per page depending on your device.
Currently this tool supports one language per OCR session. For documents with multiple languages, run OCR separately for each language section.