1. Select the language of the text in your image — this strongly affects accuracy.
2. Drag and drop an image onto the drop zone, click it to browse, or paste an image from your clipboard.
3. Wait while the OCR engine loads (first run only) and recognition runs — a progress bar shows the status.
4. Review the extracted text, fix any recognition mistakes directly in the text area, then copy it or download it as a .txt file.

• Pull a quote or paragraph out of a screenshot so you can paste it as real text.
• Extract text from a scanned page or photographed document without retyping it.
• Recover text from an image where the original document is no longer available.
• Copy an error message from a screenshot to search for it or paste it into a bug report.
• Digitize printed reference material — labels, receipts, book excerpts — for notes or records.

The image is processed entirely on your device by an OCR engine running in your browser. It is never uploaded to a server. Only the OCR engine and language data files are downloaded, and they are cached for later runs.

• OCR is probabilistic: even good images can contain recognition errors, so always proofread the output.
• Handwriting, cursive text, decorative fonts, and dense multi-column layouts are recognized poorly or not at all.
• Blurry, low-resolution, skewed, or low-contrast images significantly reduce accuracy.
• One recognition language is applied per run — mixed-language images will have errors in the non-selected language.
• The engine and language data (a few megabytes) are downloaded on first use, so the first run needs a network connection and takes longer.