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OCR (Optical Character Recognition) is an optical character recognition technology that allows computers to recognize and convert text in images, scanned documents, or PDFs into editable and searchable text. OCR technology is especially useful in digitizing documents, saving time compared to manual data entry.

1. How OCR works

Image preprocessing: OCR processes input images to clarify and improve quality, reduce noise, adjust brightness, or sharpen text.

Character recognition: Use algorithms or machine learning models to identify and analyze the shape of characters in text.

Text conversion: Finally, characters are converted to digital text, making it easy to copy, edit, or search.

2. Applications of OCR

Digitizing paper documents: Helps convert paper documents to digital form, minimizing storage and preservation.

Text recognition in images: Used to extract text from images or screenshots.

Convert invoices and receipts: Helps companies convert paper invoices and receipts into digital data for easy management.

Support for the visually impaired: OCR combined with text reading devices helps the visually impaired access printed documents.

With increasingly developed technology, OCR is becoming an important tool in document management systems, data processing and applications that require automatic text recognition.

Author: FTECH AI