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June 7, 2010

ABBYY launches Recognition Server 3.0

For automating document processing in enterprise and service-based environments

By CBR Staff Writer

ABBYY, a provider of document recognition, data capture and linguistic software, has launched Recognition Server 3.0, a new version of server-based offering for document capture and optical character recognition (OCR).

The company said that the new version comes with efficient indexing, batch scanning, and scripting support to deliver a complete functionality for document capture and conversion.

According to ABBYY, the product is designed to automatically convert large volumes of paper documents or document images into fully searchable electronic text suitable for business processes such as e-discovery, document archiving and enterprise search. Recognition Server can also connect with various back-end systems and third-party applications with integration via Scripts, XML tickets, a web-service API, or a COM-based API.

The Recognition Server 3.0 features and technology enhancements include, a new scanning station that supports batch scanning of paper documents via TWAIN, WIA and ISIS drivers; enhanced scripting functionality that enables administrators to create flexible rules for document separation; support for new OCR languages and barcode types; and adaptive document recognition technology for precise document structure reconstruction.

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In addition, the Recognition Server 3.0 is compatible with Google Search Appliance, Microsoft Office SharePoint Server, and Windows Search via special connectors available as add-on modules.

Andrey Isaev, director of technology products at ABBYY, said: Recognition Server is designed to provide easily deployable and manageable automated document conversion. Our latest enhancements make the link between document input and output more seamless.

“Our scanning station provides intuitive tool for inputting documents directly into Recognition Server while the ‘point-and-click’ indexing and new scripting capabilities for customising separation and routing help make output documents more suitable for further processing.

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