What are the Different Software & Applications of OCR Technology?
Text recognition means optical character recognition (OCR). Data is extracted and reused from scanned documents, camera images, and image-only PDFs by an OCR program. The original material can be accessed and edited by using image to text technology, which isolates letters on the image, turns them into words, and then turns the words into sentences.
In this article, you will learn about OCR applications & software.
Let’s have a look!
How does Optical Character Recognition Work?
A scanner is used by optical character recognition (OCR) to process a document’s physical form. OCR software turns the document into a two-color or black-and-white version after all pages have been copied.
The scanned-in image or bitmap is examined for bright and dark parts, with the light areas being classified as background and the dark areas as characters that need to be recognized. After processing the black regions, alphabetical or numerical digits are discovered. You typically concentrate on one character, word, or portion of text at a time during this stage.
The characters are then recognized using one of two algorithms: pattern recognition or feature recognition. When examples of text in different fonts and formats are provided to the OCR program, pattern recognition is used to compare and identify characters in the scanned document or image file.
PDF Scanner: Document Scan+ OCR
One of the most well-known OCR programs is “PDF Scanner: Document Scan+ OCR,” which consistently receives praise for its user-friendly features. The program, which works with Android users, enables you to sign documents by adding images and PDFs. And the documents converted into text form using image to text converter can also be scanned easily.
This OCR may be viewed online and is also very simple and easy to use. The ‘Free Online OCR’ is also advantageous because it supports 46 languages, including Chinese, Japanese, Portuguese, Italian, and Spanish. For more convenience use image to text converter to translate different images into text that will be easily translated into different languages.
Microsoft created Office Lens, a mobile-based OCR. Its main purpose is to digitize notes that have been written on whiteboards. Printed papers, letterheads, and billboards can all be edited digitally. Its attraction comes from its ability to dynamically resize photographs to scale in order to enhance and maximize them. But if you have image to text converter then don’t worry this converter is also designed to convert photos into text easily.
Applications of OCR
OCR has many applications, and any business that works with physical documents can benefit from it. Here are a few notable use case examples:
Word processing is perhaps one of the first and most popular applications of OCR. Print documents can be scanned and converted into editable and accessible copies using photo to text converter; AI helps to ensure that this conversion is as accurate as possible.
It is possible to scan and keep important approved legal documents, including loan documentation, in an electronic database for easy retrieval. Numerous others may view and distribute the documents. Image to text technology makes it easy to prepare data in picture form into text.
You can use your phone to take pictures of the front and back of a check that you wish to deposit. To confirm the check’s validity and the money you want to deposit, AI-powered OCR technology may automatically review the check.
Image to text automation is being used to convert physical, hard-form documents into text form. Text is copied or read using hardware, such as an optical scanner or dedicated circuit board; the advanced processing is then usually handled by software.