What is OCR?
Optical character recognition finds letter shapes in an image and proposes editable text. It can make mistakes, so reviewing matters.
Plain-language guide
How local image-to-text works
Learn enough to choose confidently, fix common problems, or explore the JavaScript behind the application.
Printed and handwritten text
Models have different strengths. A handwriting-capable label does not promise every writing style will be accurate.
Why download a model?
A model contains learned patterns used for recognition. Saving it locally makes later offline use possible.
Why device estimates?
Browsers cannot report exact capacity consistently. Recommendations combine available hints with a small optional test.
Better source images
Even lighting, sharp focus, straight pages, and readable letter size usually improve results.
Learn the code
Audience-specific lessons and annotated examples will be published after the verified application source is frozen.
Coming after application verificationRemember
- Choose fewer expected languages when possible.
- Use Fast first on limited devices.
- Review important names, numbers, and instructions.
- Keep originals when accuracy is especially important.