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Software
Optical Character Recognition (OCR) refers to a software technology and processes that involve the translation of printed text into computer searchable text. Done correctly, OCR enables users to search for and retrieve individual words contained within a file or page. In addition, when a set of files is indexed, users are able to search for keywords across an entire document library and retrieve each page with exact precision. OCR enables users to execute searches in seconds, searches that once could take several hours or days to complete. Due to several recent technology advances, it is now possible to obtain six-sigma level character accuracy from these types of document collections.
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To achieve the highest conversion accuracy possible, the characters in the image can be processed using multi-engine OCR voting technologies that rank each character to determine the best text recognition fit. Then once a word is generated, it will be filtered through a proprietary lexicon to ensure the highest quality results. Finally, this text can be processed utilizing sophisticated layout retention technologies to represent the image text layout, to provide the best possible text representation for precise search and retrieval.
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