How it works
WASM or browser OCR models detect glyphs, segment lines, and return UTF-8 text you can edit before copying.
How to use Image to Text (OCR)
- Upload a clear photo or screenshot with readable text.
- Choose language if OCR supports multiple models.
- Run recognition and review text in the editable output box.
- Copy corrected text into your document or spreadsheet.
Worked examples
Concrete numbers and cases you can check against the tool above.
Typical workflow
Fill sample data, export once, then reuse saved browser defaults for the next client.
When to use Image to Text (OCR)
Retyping screenshots wastes time and introduces errors. Local OCR helps when cloud APIs are blocked by policy.
Common use cases
- Copy text from a photo of a whiteboard.
- Digitize a printed page without a scanner driver.
- Grab serial numbers from product label photos.
Inputs and outputs
- PNG, JPEG, or WebP images
- UTF-8 text output
Privacy
This tool runs entirely in your browser. Processing uses local WebAssembly (WASM) where needed β your files and data never leave your device.
Frequently asked questions
- Will handwriting OCR work?
- Printed text works best; cursive may produce errors you must fix manually.
- Are files uploaded?
- Recognition runs locally with WASM where noted; images stay on your device.
- Which languages are supported?
- Depends on bundled models β pick the closest language for best accuracy.