OCR - Image to Text

Extract text from images using Tesseract.js - runs entirely in your browser, no uploads.

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Drop image or click to browse

PNG · JPEG · WebP · BMP · TIFF

Language

Extracted text appears here

About this tool

Extract text from any image with our free online OCR tool, powered by Tesseract.js. It supports over 10 languages including English, French, German, Spanish, Japanese, Chinese, and Arabic - and runs entirely in your browser so your images are never uploaded. Perfect for digitising scanned documents, screenshots, or photos of printed text.

How to Extract Text from an Image (OCR)

1Drop your image or click to upload - supports PNG, JPEG, WebP, BMP, TIFF.
2Select the language of the text in your image from the dropdown.
3Click 'Extract Text' and watch the progress bar as Tesseract processes the image.
4Review the extracted text in the editable textarea on the right.
5Click 'Copy' to copy the result to your clipboard.

Frequently Asked Questions

What languages does the OCR tool support?+

English, French, German, Spanish, Italian, Portuguese, Japanese, Chinese (Simplified), Arabic, and Hindi. Select your language before running recognition.

How accurate is the text extraction?+

Accuracy depends on image quality and font clarity. Clean, high-contrast images with standard fonts typically achieve 90–99% confidence. The tool shows a confidence percentage after each run.

Is my image uploaded to a server?+

No. Tesseract.js runs entirely in your browser using WebAssembly. Your image stays on your device at all times.

What image types work best for OCR?+

High-resolution images (300 DPI or more) with dark text on a light background produce the best results. Avoid heavily compressed JPEGs or images with decorative fonts.

Looking for a deeper guide on this topic? Browse the Searchlight blog.

Visit the blog →

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About this tool

How to Extract Text from an Image (OCR)

1Drop your image or click to upload - supports PNG, JPEG, WebP, BMP, TIFF.

2Select the language of the text in your image from the dropdown.

3Click 'Extract Text' and watch the progress bar as Tesseract processes the image.

4Review the extracted text in the editable textarea on the right.

5Click 'Copy' to copy the result to your clipboard.