How recognition works
This tool runs Tesseract, the open-source OCR engine, compiled to WebAssembly so it can execute inside a browser tab. When you add an image, a background thread scans it for characters and assembles editable text that you can copy to the clipboard or save as a .txt file.
The first use downloads the recognition engine — about 15 MB — and your browser caches it, so every later session starts without the wait. That engine download is the only network activity involved; the image itself is read straight from disk into memory and processed on the spot.
Getting accurate results
OCR quality depends almost entirely on the input. Clean screenshots and upright, well-lit scans of printed documents usually come out close to perfect. Phone photos work too, but accuracy improves noticeably with even lighting, a straight-on angle, and a page that lies flat.
Two limits are worth knowing up front: handwriting is not supported, because the engine is trained on printed and typed characters, and very small or low-contrast text is often misread. English is the default recognition language, and you can switch to another language before scanning.
Why on-device OCR matters
Consider what people actually run through OCR: passports, ID cards, receipts for expense claims, contracts, medical letters. Uploading those to a conversion server means trusting someone else's retention policy. On SafeFileConvert the recognition happens on your own hardware, so there is nothing for a server to log, store, or leak. There are also no accounts, no daily task caps, and no watermarks — restrictions that are common on upload-based OCR sites, where free tiers often stop after a couple of conversions.