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How OCR Used for Scanning and Text Extraction



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OCR stands for optical character recognition. It is a technology that allows computers to recognize text and numbers in pictures of documents. For example, if you take a photo of a page in a book, OCR software can analyze the image and recognize the letters, words, and numbers on that page. 


The computer can then convert the image into a text document. So OCR allows computers to read text from images like a person can, instead of just seeing shapes and colors.

Why is OCR Important?

OCR technology is very useful because it makes information from paper documents and images digital. This image to text conversion allows the text to be searched, copied, edited on computers. It saves a lot of time typing things manually.

OCR helps scan large amounts of documents faster for businesses and libraries. For example image to text converter uses OCR technology to extract text and translate to other languages automatically. 


Additionally it makes documents more usable in many ways. It takes printed words and turns them into digital text.


This allows people to easily search documents, copy its text from photos, save backups, and share them online. OCR also helps people who are blind or have trouble seeing. Screen reading software can read the OCR text out loud for them. So OCR makes more documents accessible.

Working of OCR Technology

OCR is an innovative technology that helps computers read words from pictures and extract text data. It works by using smart software to turn the text from images into words that computers can understand and use. OCR software goes through several steps to extract text from images.

1. Preprocessing


This prepares the image for analysis. The image is made cleaner by adjusting brightness, removing background colors, straightening text, etc.