Free OCR tool
Pull the exact text out of a screenshot — a quote, an error message, a line of code — without sending the image anywhere. Extraction runs entirely on your device.
Drop a screenshot here
or
PNG, JPG, WebP · English text works best
Runs in your browser with open-source OCR (Tesseract via WebAssembly). Your image never leaves your device.
Extracted text
Links found
Need the link behind a title with no visible URL? That is what SnapAction does.
Extraction runs Tesseract, an open-source OCR engine, compiled to WebAssembly so it executes entirely inside your browser tab — nothing is ever sent to a server. That matters most for the screenshots people are usually cautious about sharing: terminal output, stack traces, internal dashboards, or private chats. The image stays on your device from start to finish.
Extraction accuracy is highest on monospace and sans-serif text with strong contrast — code editors, terminals, error dialogs, chat apps, and plain articles all extract cleanly. It gets less reliable on stylized UI text, low-resolution screenshots, and text set over photos or gradients; cropping tightly around just the text you need before extracting usually fixes it.
Extracting text is precise but literal: you get back exactly the characters that were rendered on screen, nothing more. Most screenshots people keep are not saved for their literal text, though — they're saved for what they point to: a repo, a listing, a booking, a product.
SnapAction's screenshot AI is built for that second case on iPhone: it identifies the resource in a screenshot, recovers the canonical link with AI analysis and web search when one isn't visible in the pixels, and saves the result as a typed card with a next action. See the distinction laid out in OCR vs resource extraction.
Drop the screenshot into the tool above or choose a file. OCR runs in your browser and returns the extracted text, ready to copy or download — nothing is uploaded.
Yes. Monospace text in code editors and terminals extracts cleanly because the characters are evenly spaced and high-contrast. Very small font sizes are the main thing that hurts accuracy — zoom in before capturing if you can.
Cropping tightly around the text you need usually improves accuracy, since the OCR engine has less irrelevant image data to sort through. Very small or blurry text is still the main failure case.
No. Extraction runs locally in your browser via WebAssembly. The screenshot is never uploaded or stored on a server.
Yes. Any URLs found in the extracted text are listed separately as clickable links.