Image to Text (OCR)
Extract text from images directly in your browser using Tesseract.js. No files are uploaded to any server.
1. Upload Image
Click to upload or drag and drop
Upload a single image with text
Full image will be processed.
2. Settings
First time languages may take longer to download data models (~10MB).
Initializing...
How Client-Side Neural Network OCR Works
Extract editable text from book pages, receipts, whiteboard notes, and scanned documents in 12+ languages:
Tesseract.js WebAssembly
Uses Google's open-source Tesseract OCR engine compiled to WebAssembly (WASM), running LSTM neural networks directly inside browser Web Workers.
Otsu Image Binarization
Automatically applies adaptive thresholding to convert noisy grayscale pixels into high-contrast monochrome text for maximum character recognition accuracy.
100% On-Device Privacy
Proprietary medical bills, confidential receipts, and personal notes are analyzed entirely in local RAM without transmitting document scans to external cloud APIs.
Frequently Asked Questions
Everything you need to know about optical character recognition in your browser.
How do I get the highest OCR extraction accuracy?
Ensure your text image has good lighting and high contrast. Use our "Select Region" tool to crop tightly around specific paragraphs or data tables to avoid background interference.
Which languages are supported?
Our engine supports English, Spanish, French, German, Italian, Portuguese, Russian, Chinese (Simplified), Japanese, Korean, Hindi, and Arabic.
Are my confidential documents uploaded to any server?
No. Tesseract.js runs entirely inside your web browser's local sandbox memory. No scanned images or extracted text strings are ever sent over the internet.