ABBYY QuickTake

ABBYY QuickTake

Document ID: CGQT148 | Last Updated: Sep. 13, 2018

ABBYY has a long and rich history in providing document conversion, optical character recognition (OCR), data capture, and linguistic software and services. Founded in 1989, the company has built a deep technology base with broad customer adoption and significant partners who leverage their technology for a wide range of text and document-oriented recognition requirements. The focus of ABBYY’s recognition technologies, which are increasingly becoming more AI and cognitive technology based is to help companies, people, and organizations unlock information from documents and images, automatically acquire data, and process and store valuable information. Organizations have a lot of semi-structured content, such as invoices that have variable formatting but fixed meanings, which traditional OCR and document capture technology can address. The real challenges are with unstructured information such as email and other text content that have variable meanings as well as variable formatting. The company is focused on the challenge of automating these very unstructured documents through classification, extraction, and validation of data from wide range of semi-structured and unstructured sources

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ABBYY has a long and rich history in providing document conversion, optical character recognition (OCR), data capture, and linguistic software and services. Founded in 1989, the company has built a deep technology base with broad customer adoption and significant partners who leverage their technology for a wide range of text and document-oriented recognition requirements. The focus of ABBYY's recognition technologies, which are increasingly becoming more AI and cognitive technology based is to help companies, people, and organizations unlock information from documents and images, automatically acquire data, and process and store valuable information. Organizations have a lot of semi-structured content, such as invoices that have variable formatting but fixed meanings, which traditional OCR and document capture technology can address. The real challenges are with unstructured information such as email and other text content that have variable meanings as well as variable formatting. The company is focused on the challenge of automating these very unstructured documents through classification, extraction, and validation of data from wide range of semi-structured and unstructured sources
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