OCR stands for optical character recognition. It reads letters and words from screenshots, scans, receipts, signs, and document photos, then converts them into editable text.
Example Input
An image containing the words: Meeting at 10 AM
OCR Reference
What OCR does
OCR analyzes an image, identifies shapes that look like letters and numbers, and returns machine-readable text. The output can then be searched, copied, corrected, translated, counted, or reformatted.
Image source
OCR can extract
Common use
Screenshot
Interface text, messages, labels, and error codes
Copy text that cannot be selected
Scanned page
Printed paragraphs, headings, and page numbers
Turn a paper document into editable text
Receipt or invoice
Names, dates, item lines, totals, and reference numbers
Reduce manual data entry
Sign or label
Clearly photographed words and numbers
Copy information for notes or translation
OCR vs. scanning
A scanner or camera creates an image. OCR is the recognition step that interprets text inside that image. A scanned page can look readable to a person while still containing no selectable text until OCR is applied.
What affects OCR accuracy?
Image clarity: sharp, high-contrast text is easier to recognize.
Alignment: straight horizontal text usually performs better than rotated or curved text.
Language: selecting the correct recognition language improves likely character matches.
Typography: decorative fonts, tiny text, handwriting, shadows, and busy backgrounds can reduce accuracy.
Always review names, numbers, punctuation, and totals before relying on extracted text.
Searchers asking for what does OCR mean usually need a definition and a fast way to apply it. TextWorks gives both: a short explanation and a browser-based tool.