You’ve probably heard of OCR before, but you may not know exactly what it is or how it works. OCR stands for Optical Character Recognition. In the simplest terms, it is a way to convert images of text into digital text. This is done by using a special software that can recognize the unique patterns of characters in an image and convert them into digital text that can be edited, searched, and stored.
OCR works by scanning an image of text and identifying the individual characters within that image. Once the characters have been identified, they are converted into digital text that can be edited, searched, and stored. The most common use for OCR is to convert scanned documents into digital text files that can be easily edited, searched, and stored. OCR can also be used to extract text from images such as PDFs or photos.
The accuracy of OCR depends on a number of factors, including the quality of the image, the resolution of the image, the sensitivity of the OCR software, and the language of the text being scanned. Generally speaking, OCR is more accurate when dealing with high-quality images with high resolutions. Additionally, OCR software has gotten much more sophisticated in recent years and is now quite accurate even when dealing with poor-quality images or difficult characters such as handwritten text.