What is optical character recognition used for?

What is optical character recognition used for?

Optical character recognition (OCR) is a technology that allows you to convert scanned images of text into editable text.

This can be useful for a number of reasons. For example, if you have a scanned copy of a document, you can use OCR software to convert the text into a usable document. OCR can also be used to help you read text that is displayed on a screen, such as a computer monitor or a smart phone.

There are a number of different OCR software applications available, and they vary in terms of the quality of the conversion results that they produce. In general, the better the quality of the original image, the better the results that you will get from the OCR software.

Optical character recognition (OCR) is the ability of a computer to read text that is displayed on a screen or printed on paper. OCR software scans an image of text and converts the image into digital text that can be edited, searched, and displayed on a screen. OCR software is used in a variety of applications, including scanning documents into a digital format, translating text from one language to another, and recognizing text in images taken from a digital camera.

The value of OCR technology is that it enables users to edit, search, and display text that would otherwise be inaccessible. For example, if a document is scanned into a digital format, the text in the document can be edited using a word processor. If the document is in a foreign language, the text can be translated using a translation program. If the document is a picture of text, the text can be displayed on a computer screen. OCR technology has also been used to create searchable databases of text from books and magazines.

Optical character recognition can be used for a variety of purposes, including recognizing text in images, extracting information from documents, and converting scanned documents into searchable text. It can also be used for a variety of other purposes, such as recognizing handwritten text.

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