Editing Optical character recognition (section)

===Application-specific optimizations===
In recent years,{{when|date=March 2013}} the major OCR technology providers began to tweak OCR systems to deal more efficiently with specific types of input. Beyond an application-specific lexicon, better performance may be had by taking into account business rules, standard expression,{{clarify|date=March 2013}} or rich information contained in color images. This strategy is called "Application-Oriented OCR" or "Customized OCR", and has been applied to OCR of [[license plate]]s, [[invoice]]s, [[screenshot]]s, [[ID card]]s, [[driver's license]]s, and [[automobile manufacturing]].

''[[The New York Times]]'' has adapted the OCR technology into a proprietary tool they entitle ''Document Helper'', that enables their interactive news team to accelerate the processing of documents that need to be reviewed. They note that it enables them to process what amounts to as many as 5,400 pages per hour in preparation for reporters to review the contents.<ref>{{Cite news |last=Fehr |first=Tiff |date=2019-03-26 |title=How We Sped Through 900 Pages of Cohen Documents in Under 10 Minutes |language=en-US |work=The New York Times |url=https://www.nytimes.com/2019/03/26/reader-center/times-documents-reporters-cohen.html |access-date=2023-06-16 |issn=0362-4331}}</ref>