Extract text from images using OCR (Optical Character Recognition). Perfect for screenshots, scanned documents, photos of text, and handwritten notes. Works with PNG, JPG, WebP, and more. For scanned PDF documents, try our OCR PDF tool instead.
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OCR (Optical Character Recognition) converts images of text into machine-readable text. This tool uses Tesseract.js, a client-side JavaScript port of one of the most accurate open-source OCR engines available - meaning your images never leave your browser.
The technology works by analyzing shapes and patterns in an image, identifying individual characters, and reconstructing them as editable text. It handles multiple languages, various fonts, and even handwritten text with impressive accuracy.
This tool is ideal for digitizing printed documents, extracting text from screenshots, and converting photos of signs or receipts. For processing entire scanned PDF files page by page, use our OCR PDF tool which uses server-side Tesseract with full multi-page support and searchable PDF output.
Well-lit images with even lighting give the best results. Avoid shadows and glare that obscure text.
Black text on white background works best. Enable the auto-enhance contrast option above.
Higher resolution images yield better results. 300 DPI is the recommended minimum for printed text.
Keep text horizontal. Skewed or rotated text may not be recognized properly. Use Rotate PDF for tilted scans.
Standard printed fonts are recognized more accurately than decorative or handwritten text.
Remove borders and non-text elements with our Image Cropper before OCR for better accuracy.
Convert scanned papers, receipts, and contracts into editable text. For multi-page scanned PDFs, use OCR PDF.
Extract text from screenshots of websites, apps, or error messages instantly.
Digitize book pages and magazine articles for easy searching and editing. Use JPG to PNG for lossless quality.
Extract contact information from business card photos quickly and accurately.
Convert handwritten notes to digital text. Works best with neat, dark handwriting on light paper.
Extract text from image-based posts or memes for accessibility, translation, or archiving.
PNG, JPG/JPEG, WebP, BMP, GIF, and TIFF are all supported. PNG and TIFF typically produce the best OCR results due to lossless compression. For non-standard formats, use our JPG to PNG or other image converters first.
18 languages are available in the dropdown including English, Spanish, French, German, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Hindi, and more. Selecting the correct language is critical for accuracy - always choose the primary language of your document.
Yes. OCR processing happens entirely in your browser using Tesseract.js (client-side). Your images are never uploaded to our servers. Nothing is stored or logged - the text extraction is completely private.
OCR accuracy depends on image quality, text clarity, and font type. Try enabling the auto-enhance contrast and sharpen options above the Extract button. Low resolution scans, unusual fonts, or skewed text can reduce accuracy. Cropping non-text areas with our Image Cropper also helps.
This tool works with images only. For scanned PDF documents, use our OCR PDF tool which processes each page automatically and outputs a fully searchable PDF with an invisible text layer. It supports up to 30 pages at 300 DPI.
Accurate mode uses more sophisticated algorithms and takes longer but produces better results, especially for complex layouts or lower quality images. Fast mode is quicker and works well for clear, high-contrast images with standard fonts. Start with Fast mode and switch to Accurate if needed.