1
Upload or paste your image
Drag and drop your image into the upload area, click to browse your files, or simply paste an image directly from your clipboard.
- Supported formats include JPG, PNG, and WebP (up to 10 MB)
Extract Text from Image (OCR)
Extract printed and digital text from photos, screenshots, and scans directly in your browser. Powered by client-side Tesseract WebAssembly, character recognition runs on your device with no server uploads.
No installation
Fast processing
Browser friendly
Privacy-aware
Features
Client-side WebAssembly OCR engine: text recognition runs locally in your browser
Multi-language recognition support for English, Spanish, and French
Supports JPG, PNG, and WebP image uploads up to 10 MB and 25 megapixels
Automatic high-resolution downscaling to 6 MP to prevent browser memory exhaustion
One-click copy to clipboard and downloadable plain text (.txt) export
Zero server uploads: your scanned documents and extracted text remain strictly private
How It Works
2
Select the text language
Choose the primary language of the text in your image (English, Spanish, or French) to help the OCR engine accurately identify the characters.
- The tool relies on this setting to process language-specific letters and accents
3
Extract and copy text
Click the process button and wait for the extraction to finish. Once complete, you can copy the text to your clipboard or download it as a .txt file.
- All processing happens securely within your browser
Common Use Cases
Digitizing Printed Notes & Book Pages
Convert photos of textbook pages, research articles, and printed notes into editable digital text.
Receipt, Invoice & Document Logging
Extract data and line items from photos of paper receipts, invoices, and physical forms for expense reports.
Extracting Non-Selectable Screenshot Text
Grab unselectable text from software error dialogs, video subtitles, and webinar slide screenshots.
Tips & Best Practices
Local Processing for Privacy
All optical character recognition (OCR) happens directly in your browser using your device's resources. Your images are never uploaded to our servers, ensuring your data remains private.
Image Quality Matters
For the best results, use clear, well-lit images with high contrast. Blurry photos, stylized fonts, or handwritten text may reduce the accuracy of the extracted text.
Supported Languages
The tool currently supports English, Spanish, and French text extraction. Please note that Arabic text recognition is not supported at this time.
Frequently Asked Questions
Are my documents uploaded to an OCR cloud server?
No. The OCR engine (Tesseract.js) executes entirely inside your browser using WebAssembly. Your documents and extracted text remain on your local machine.
Why does the first extraction take a few seconds to begin?
On the initial run, your browser loads the client-side engine (~3.9 MB WebAssembly) and the selected language model (~0.7 MB to ~3.0 MB). Once stored in browser cache, subsequent extractions execute locally on your device without re-downloading.
Can it recognize handwritten notes?
The OCR model is trained specifically on printed, typed, and digital typography. Neat block handwriting may be recognized with moderate accuracy, but cursive script is prone to character recognition errors.
Is Arabic text recognition supported?
No. Current browser WebAssembly models support Latin-based scripts: English, Spanish, and French.
How can I get the most accurate text recognition results?
Ensure the source image has good lighting, clear contrast between text and background, and is rotated right-side up before extracting.