Image to Text
Extract editable text from photos, screenshots and scanned images with local OCR.
Printed-text OCR
Extract, inspect and correct text
Run multilingual OCR locally, compare the source with editable output and export only after reviewing names, numbers and punctuation.
Important: OCR is a draft, not guaranteed transcription. Accuracy depends on focus, contrast, orientation, typeface and selected language.
About the Image to Text
Image to Text uses optical character recognition to turn printed text in photos, screenshots and scans into editable text.
For the best result, crop tightly around the text, keep lines horizontal, avoid glare and select the language that dominates the page.
The selected language model downloads only when OCR starts, then recognition runs locally in your browser. Confidence is a review signal, not proof that every character is correct.
Key features
- Seven recognition languages
- Source image beside editable output
- Confidence, word and character summary
- TXT and JSON review exports
- Lazy-loaded local OCR
How to use
- 1Choose a sharp, straight image containing printed text.
- 2Select its main language and start recognition.
- 3Compare the editable result with the source, especially names, numbers and punctuation.
- 4Copy the reviewed text or export TXT or a JSON review report.
Examples
PNG screenshot of a printed paragraphEditable plain textReview names and numbers because OCR confidence depends on image quality.
Frequently asked questions
- Is the confidence score a guarantee?
- No. It is an aggregate OCR estimate and individual names, digits or punctuation can still be wrong.
- Can it read handwriting?
- It may read neat handwriting, but the dedicated Handwriting OCR workflow provides more appropriate warnings.
- Why does the first run take longer?
- The OCR engine downloads the selected language model only when you start it.
- Does my image leave the browser?
- No. Recognition runs locally after the model is loaded.
Continue your workflow
Open a related tool to prepare your files or refine the finished result.
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