Image to Text Converter (OCR)
Extract text from photos, screenshots and scans — free OCR that runs in your browser.
OCR runs in your browser with Tesseract — the image is never uploaded. First use downloads the engine (~3 MB), then it's cached. Best results: clear, straight, well-lit text.
From picture to copyable text
Upload a photo, screenshot or scan and get its text extracted, ready to copy. The OCR engine (Tesseract) runs entirely in your browser — your image is never uploaded, which matters when the image is a document, an ID or a contract page.
What it's great at
Screenshots of text you can't select, printed documents and book pages, error messages photographed from another screen, printed receipts and notices, and slides photographed in a lecture. Typed/printed text in clear focus extracts very accurately; stylized fonts and handwriting are much harder — expect mistakes there.
Getting the best accuracy
Straighten the image (rotate first with our image rotator if needed), crop to just the text region with the cropper, use good lighting without shadows across the text, and prefer higher-resolution images — text under ~20 pixels tall extracts poorly. Black text on white background is the ideal case.
First run downloads the engine
On first use, the browser downloads the OCR engine (~3 MB) — after that it's cached and works fast. Long documents take longer; the progress bar shows the engine working through the page.
Frequently asked questions
Is my image uploaded to a server?
No — OCR runs in your browser via Tesseract.js. The image never leaves your device, making this safe for documents and IDs.
Does it read handwriting?
Printed text extracts well; handwriting accuracy is poor with this engine. Neat block letters sometimes work, cursive rarely does.
Which languages are supported?
The default model reads English (including numbers and common symbols). Mixed Hindi/regional text will extract only the Latin-script parts reliably.
Why is my extraction garbled?
Usually low resolution, blur, skewed angle or shadows. Crop tight to the text, straighten the image, and use the highest-quality version you have.