Optical character recognition (OCR) is the technology that allows computers to recognize and process text from scanned images, photos, or video frames. The technology uses algorithms to analyze the text and match it to a database of recognized characters, converting it into digital text that can be edited and searched.
Applications of OCR
OCR has various applications in fields such as:
- Document management: OCR is used to convert scanned images of paper documents into editable digital text files, making it easier to store, retrieve, and search them.
- Data entry automation: OCR is used to scan and process large volumes of data, such as invoices, business cards, and forms, eliminating the need for manual data entry.
- Digital archiving: OCR is used to convert historical documents, such as books and manuscripts, into digital formats that can be preserved and made accessible to researchers and the public.
Limitations of OCR
While OCR technology has improved significantly, it is not perfect and may produce errors in character recognition, particularly with low-quality or low-resolution images. To ensure accurate results, it is recommended to use high-quality scans and proofread and edit the digital text.
Conclusion
OCR is a powerful technology that transforms scanned images and text-based content into digital formats that are editable, searchable, and more accessible. It has numerous applications and is an essential tool in fields such as document management, data entry automation, and digital archiving.