OCR Text Extraction

Extract text from images

Browser-based
๐Ÿ”

Fully Offline

Text recognition happens entirely in your browser with Tesseract.js. Your images are never uploaded or transmitted to servers.

Tip: Select the correct language for best results

๐Ÿ“ท

Drop image here

or click to select

JPG, PNG, GIF, WebP, BMP, TIFF โ€ข Max 10 MB

๐Ÿ’ก Tips for Better Results

  • โ€ข Use well-lit, high-contrast images
  • โ€ข Ensure text is properly aligned
  • โ€ข Higher resolution leads to better results
  • โ€ข Avoid shadows and reflections
  • โ€ข OCR works best with printed text

Extracted Text

๐Ÿ“

No text extracted yet

Upload an image and click "Extract Text"

โ„น๏ธ About this App

This OCR application uses Tesseract.js, a JavaScript port of the Tesseract OCR Engine. All processing happens locally in your browser via WebAssembly. Language models are downloaded on first use and cached in the browser.

100+ Languages

Supports 100+ languages incl. German, English, Chinese

Works Offline

After initial load, OCR works without internet

No Registration

Free to use without signing up

How to Extract Text from Images

  1. Upload an image (PNG, JPG, WebP, or PDF) or drag and drop
  2. Select the language of the text in the image
  3. Click 'Extract Text' to start OCR processing
  4. Wait for the browser-based Tesseract.js engine to process
  5. Copy or download the extracted text

Frequently Asked Questions

Is my image data private?

Yes, 100% private. All OCR processing happens locally in your browser using Tesseract.js. Your images are never uploaded to any server.

What image formats are supported?

The tool supports PNG, JPG/JPEG, WebP, GIF, and BMP images. For best results, use high-resolution images with clear, well-lit text.

Which languages are supported?

The tool supports multiple languages including English, German, French, Spanish, Italian, Portuguese, Dutch, and more. Select the appropriate language for better accuracy.

Why is OCR accuracy not 100%?

OCR accuracy depends on image quality, font type, contrast, and text clarity. Handwritten text, unusual fonts, or low-resolution images may have lower accuracy.

Does this work offline?

After the initial load (which downloads the language model), the OCR can work offline. The Tesseract.js engine runs entirely in your browser.

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