Let’s start with the fundamental question, what is OCR? It is simply the technology used to process images of text and convert that text into forms that a machine can read.
In other words, it takes handwritten or typed material on physical paper and turns it into digital formats so that it may be accessed electronically.
In the 1990s, many owners of businesses started converting physical documents into digital files using OCR. Since then, there has been a rising demand for broader optical character recognition applications, and in recent years, Artificial intelligence was added to the mix!
The capabilities of optical character recognition (OCR) tools are being revolutionized due to the introduction of artificial intelligence.
As the quality of OCR technology has significantly improved, OCR’s utility has dramatically increased thanks to recent breakthroughs in AI.
Which have resulted in improved accuracy and increased speed. Because of the capabilities of AI, human supervision is not required for every step.
OCR Usage in Modern Companies
Text recognition is another name for optical character recognition (OCR), which stands for visual character reading. The data from scanned papers, camera photos, and image-only pdf can be extracted and reused with the help of an OCR tool making modern companies utilize their data and information much better.
This opens the opportunity to access and change the original material; in addition to this, it eliminates the requirement for manually entering data.
Optical character recognition systems use a combination of hardware and software to transform physical, printed documents into text that a machine can read.
OCR software can use advanced technology services to implement more complex optical character recognition of artificial intelligence, such as distinguishing languages or styles of handwriting.
This can be accomplished through intelligent character recognition, where users can edit, format, and search the documents in the same manner.