OCR & DOCUMENT PARSING AI TECHNOLOGIES > AI FEATURES
Optical Character Recognition (OCR) is a technology that transforms images of text into a format that computers can read and process. It is commonly used to identify and extract text from images or PDFs, along with determining the text's layout within the document.
Below are several examples of how OCR can be applied:
Digitizing Printed Documents
OCR can convert printed materials, such as books and articles, into editable digital formats, making them easier to search and share.
Automating Data Entry
Businesses can use OCR to extract information from forms and invoices, reducing the need for manual data entry and minimizing errors.
Archiving Historical Records
Libraries and archives can employ OCR to digitize historical documents, preserving them for future access while making them searchable.
Text Recognition in Images
OCR can be used in applications that require text recognition from images, such as scanning business cards or reading signs.
Assistive Technology
OCR technology can help visually impaired individuals by converting printed text into speech through screen readers, enhancing accessibility.
In the world of OCR APIs, there are many companies offering similar services. However, these services may not all work the same way or be as good as each other. Some might be faster or more accurate, but they might also cost more. It’s a good idea to try out a few different options to see which one works best for you.
By aggregating several providers in one software development platform, Xamun allows you to use different kinds of AI tools for your software.
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