What is Optical Character Recognition (OCR)?
Optical Character Recognition (OCR) is a technology that converts text within images into editable and searchable digital text. It analyzes the shapes and patterns of characters in a scanned document, photo, or screenshot and translates them into machine-readable text. This process is essential because text embedded in images cannot be copied, searched, or edited without OCR.
OCR is widely used in digitizing printed documents, automating data entry, and extracting information from photos or scanned files. For example, businesses use OCR to convert invoices or receipts into digital records, while students might extract text from textbook images for notes.
How OCR works:
- Image preprocessing to enhance quality and remove noise.
- Text detection to locate areas containing characters.
- Character recognition using pattern matching or machine learning models.
- Post-processing to correct errors and format the output.
OCR technology supports multiple languages and fonts, but accuracy depends on image quality, text clarity, and layout complexity. It is a key tool in image editing and document management workflows where converting visual text into editable content is necessary.