or drop an image here — JPG, PNG, WebP, GIF, BMP up to 10 MB
Extract text from images instantly using powerful OCR — all processing happens right in your browser. No uploads to servers, no sign-up.
or drop an image here — JPG, PNG, WebP, GIF, BMP up to 10 MB
Fast, private, and packed with handy features
Everything runs in your browser using Tesseract.js. Your images are never sent to any server.
Recognize text in English, Spanish, French, German, Japanese, Chinese, Arabic and many more.
Powered by Tesseract.js, the same engine used by Google for document digitization.
One-click copy to clipboard or download extracted text as a .txt file.
Extract text in seconds with a real-time progress bar — no waiting for server responses.
No hidden fees, no registration, no watermarks. Free forever.
Three easy steps
Click "Add File" or drag and drop any JPG, PNG, WebP, or GIF image up to 10 MB.
Choose your language and click "Extract Text". The OCR engine will process the image in your browser.
Copy the recognized text to your clipboard or download it as a .txt file.
Everything you need to know about Image to Text
You can extract text from JPG, PNG, WebP, GIF, and BMP images.
We support 18+ languages including English, Spanish, French, German, Italian, Portuguese, Russian, Japanese, Korean, Chinese (Simplified & Traditional), Arabic, Hindi, Thai, Vietnamese, Polish, Dutch, and Turkish.
No. All OCR processing happens entirely in your browser using Tesseract.js. Your images never leave your device. Language models are downloaded once and cached locally.
Accuracy depends on image quality. Clear, high-resolution images with good contrast typically yield excellent results. Handwritten text and very stylized fonts may have lower accuracy.
The maximum file size is 10 MB. Since all processing happens in your browser, very large or high-resolution images may take longer to process.
Yes! Screenshots typically produce excellent results since they contain crisp, high-contrast text.
Crop, resize, convert, or compress your images — all free and in-browser.