Image to Text (OCR) — Extract Text from Images

No. This tool runs 100% in your web browser using Tesseract.js, an open-source OCR engine compiled to WebAssembly. Your images never leave your device — nothing is sent over the network. You can disconnect from the internet after the model loads and the tool will still work.

The OCR tool supports JPEG, PNG, WebP, BMP, and TIFF images as input. For best results, use clear, high-contrast images with text that is at least 12 pixels tall.

The first time you use the tool, it downloads the Tesseract OCR engine and language model (~15 MB for English). These are cached in your browser for future use. Subsequent uses load from cache in a few seconds. Choosing additional languages will download their respective models.

The tool supports 15 languages: English, Spanish, French, German, Portuguese, Italian, Arabic, Hindi, Chinese (Simplified), Japanese, Korean, Russian, Turkish, Dutch, and Polish. Select your language before uploading the image for best results.

Accuracy depends on image quality. Clean, high-resolution images with printed text typically achieve 90-99% accuracy. Handwritten text, low-resolution images, or complex layouts may have lower accuracy. The confidence score shown after processing helps you gauge the reliability of the extracted text.

Yes. You can upload multiple images at once or add more images after the first batch is processed. Each image gets its own tab, and results are kept until you clear them. The extracted text from each image is editable independently.

The coloured rectangles overlaid on your image show where Tesseract detected individual words. This helps you verify which parts of the image were successfully read and identify any areas where text may have been missed. You can toggle this overlay on or off.

Yes. The extracted text appears in an editable text area. You can fix any OCR errors, add formatting, or remove unwanted content before copying or downloading. The word and character counts update in real time as you edit.