Spelling errors in the source material are also a hurdle, since many programs recognize not only individual letters, but entire words. Logos, graphics, special characters, small letters or blurred copies also pose a major challenge to OCR software. While most programs achieve good results with printed black letters in Latin script on a white background, deviations from this ideal template are much more difficult to identify.Įast Asian characters, for example, pose major problems even for professional OCR software due to their fine but significant lines. A basic judgment is difficult, however, because the source material also plays a major role. However, free tools usually do not achieve the same hit rate as high-priced professional solutions. Research has been going on in this area for many years, so modern text recognition software is already delivering much better results than it used to. The accuracy of OCR software varies from program to program. It is also possible to prepare photographed texts, signs or images that you have made with screenshot tools for further processing with just a few clicks. Government agencies and companies automatically read address data, personal information or license plate numbers. Tools that read credit card information via camera also do so with OCR software. Vehicles that automatically recognize road signs and inform the driver or rider also use this technology. Translator apps that read texts via your smartphone’s camera, for example, use OCR software. Some of them you may already be using yourself without even realizing it. OCR software is also used in other areas. Instead of laboriously transferring the content manually, the OCR software reads it and allows you to archive and edit it on your computer or smartphone. Although you can scan the paper, the format is not suitable for further use. You know an obvious use for OCR image to text converters if you have ever received a document or letter in a private or professional context and wanted to archive it digitally.
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