What is OCR?
Optical character recognition, or OCR, detects letter shapes in an image and converts them into editable text. It is useful for a screenshot of a message, a scanned document, a photographed receipt, or a slide that you need to quote or reorganize.
The image to text OCR tool runs recognition in the browser for supported languages. You can copy the result or download it for editing. OCR is a reading aid, not a guarantee of perfect transcription, so important names, numbers, and legal wording should always be checked against the source image.
Prepare the image before recognition
OCR works best when characters are sharp, upright, high-contrast, and large enough to distinguish. A clean scan usually performs better than a distant phone photo with glare. Before running recognition:
- crop away unrelated borders and background details;
- rotate the page so lines of text are horizontal;
- use a clear, well-lit image without strong reflections;
- resize a tiny screenshot if characters are difficult to resolve;
- keep columns and tables aligned where possible.
If a photo contains a lot of empty space, crop the image around the document first. If the text is too small, resize the image with a sharp output rather than repeatedly saving a low-quality JPEG.
What affects OCR accuracy?
Printed text with a common font is usually easier than handwriting, decorative type, or text over a busy background. Compression artifacts can merge punctuation and thin strokes. Low light can make a lowercase letter look like another character, while perspective distortion can cause entire lines to be misread.
Language selection matters too. Use the language or language combination that matches the content. A document with mixed Latin and CJK text may need extra review around punctuation, names, and numbers. Tables, multiple columns, and unusual reading order often require manual restructuring even when individual words are recognized correctly.
Review the result systematically
Do not proofread OCR as if it were ordinary copy. Compare the text to the image while checking the fields most likely to cause problems:
- dates, decimal points, and currency symbols;
- serial numbers, URLs, and email addresses;
- names and technical terms;
- quotation marks, hyphens, and line breaks;
- headings, columns, and list numbering.
Keep the original image next to the extracted text. OCR may remove visual context such as bold emphasis, indentation, or a signature, so the text result should not replace the source when layout or authenticity matters.
Privacy and file handling
Screenshots and scanned documents can contain personal information. A local browser workflow reduces the need to send those images to a remote OCR service. Still, use care when downloading or sharing the extracted text, and remove temporary files from shared devices when the task is complete.