Extract Text from Images
Turn text in images into editable text.
How to use this tool
Steps
- Crop the source to the relevant text and correct its orientation before upload.
- Use a sharp image with even lighting, adequate resolution, and strong foreground/background contrast.
- Run recognition and watch the progress indicator while the worker processes the image.
- Copy the result into an editor, preserve line breaks only where useful, and compare names, numbers, punctuation, and ambiguous characters with the image.
Supported formats
- Input: image types the browser can decode and Tesseract.js can read.
- Recognition language: bundled English data in the current interface.
- Output: plain text copied or downloaded by the user.
Things to know
- Handwriting, curved text, tables, multi-column layouts, decorative fonts, and low-resolution screenshots reduce accuracy.
- The output does not preserve semantic structure or reliably reproduce tables.
- English language data will misread many non-English words and characters.
- OCR confidence is not proof that a number or name is correct.