Image OCR - Text Extraction
Extract text from images using optical character recognition (OCR). Supports multiple languages. All processing happens locally in your browser.
100% Private & Secure
Your data never leaves your browser
Drag and drop an image here, or click to browse
JPEG, PNG, WebP, HEIC, BMP, GIF - Max 20MB
All processing happens locally in your browser.
How to Extract Text from Images?
Upload Image
Drag and drop your image (JPEG, PNG, WebP) containing text. Screenshots, photos of documents, or scanned pages all work.
Select Language
Choose the language of the text in your image. We support English, Chinese, Japanese, Spanish, and 100+ other languages.
Copy or Download
Review the extracted text, make any corrections, then copy to clipboard or download as a text file.
Why Use BrowserKits for OCR?
Powered by Tesseract (Local)
Industry-standard OCR engine running entirely in your browser via WebAssembly. No cloud API calls, no data sent anywhere.
Your Images Stay Private
Unlike cloud OCR services, your images never leave your device. Perfect for confidential documents, IDs, and sensitive information.
100+ Languages Supported
Extract text in English, Chinese (Simplified & Traditional), Japanese, Korean, Spanish, German, French, Arabic, and many more.
Completely Free
No subscriptions, no per-page charges, no API limits. Extract text from as many images as you need.
Frequently Asked Questions
Is my image data secure?
Absolutely. BrowserKits uses Tesseract.js compiled to WebAssembly, which runs entirely in your browser. Your images are never uploaded to any server - all text recognition happens locally on your device.
What types of images work best for OCR?
Clear, high-contrast images with horizontal text work best. Good lighting, minimal blur, and adequate resolution improve accuracy. Scanned documents and screenshots typically produce excellent results.
Why does OCR take a moment to process?
The first time you use OCR, the language model (~10-15MB) needs to be downloaded and cached in your browser. Subsequent extractions in the same language will be faster. Complex images with more text also take longer to process.