Image to Text Converter
Extract text from any image using OCR — supports 60+ languages
Extract text from a photo or screenshot using optical character recognition, with the recognized text shown instantly and ready to copy — processed entirely in your browser.
How It Works
How Image to Text (OCR) Works
This tool runs entirely client-side: your image is never uploaded to a server. It uses Tesseract.js, a JavaScript port of the open-source Tesseract OCR engine that runs via WebAssembly directly in your browser tab.
After you select an image and a recognition language, Tesseract.js analyzes the image's pixels locally, reporting live progress as it initializes, loads the language data, and recognizes text, before returning the extracted text directly in the page.
Because everything runs in-browser using WebAssembly rather than a server-side OCR pipeline, processing time depends on your device's performance and the image's size and complexity, but no file data is ever transmitted anywhere.
Worked Example
See It In Action
A photo of a printed receipt or a screenshot of a paragraph of text can be uploaded, and after a short recognition process (with a live progress indicator), the tool displays the extracted text directly on the page, ready to copy into a note or spreadsheet.
FAQ
Frequently Asked Questions
Is my image uploaded to a server?
No — recognition runs entirely in your browser using Tesseract.js and WebAssembly. Your image is never transmitted anywhere.
Why is it slow on my device?
Because OCR runs locally using your device's own processing power rather than a server, recognition speed depends on your device's hardware and the image's resolution — larger or more complex images take longer.
What image quality gives the best results?
Clear, well-lit, high-contrast images with horizontal (non-rotated) text produce the most accurate results — blurry photos or low-resolution screenshots reduce recognition accuracy.
Can I choose the recognition language?
Yes — select the language of the text in your image before running recognition, so Tesseract.js loads the matching language data for better accuracy.
