ABBYY has added new facilities for managing SharePoint Libraries to the latest version of its solution for document capture and optical character recognition (OCR). ABBYY Recognition Server 4.0 is a server-based solution for automating document processing in enterprise and service-based environments.

Version 4.0 is designed to automatically convert large volumes of paper documents or document images into fully searchable electronic text suitable for business processes such as document archiving, e-discovery, and enterprise search.

ABBYY Recognition Server can now traverse a tree of nested folders or a document library in Microsoft SharePoint, convert discovered image files into searchable formats, and reproduce the entire library in a searchable form. Newly added files that appear in the library can be processed automatically.

Thanks to its enhanced integration with Microsoft SharePoint, ABBYY Recognition Server can convert document images and scanned PDFs directly within SharePoint libraries, making work with documents more effective for SharePoint users.

A special mode of technical drawing processing has been added in this new version of Recognition Server. When working in this mode all graphic objects will remain unchanged however both horizontal and vertical text on the drawing will be recognised.

Another new feature is the ability to process files by mask. The administrator can now select types of files (for example only TIFF and JPEG files) or define a mask for names of files that need to be converted. Files that do not conform to the mask can be moved to a different folder, stay in place or be copied directly to the output location.

This allows for the creation searchable archives that completely ”mirror” the structure and content of the original archive. The whole variety of documents from the original archive (including images, Word, PowerPoint and Excel files) will be recreated in the output archive; however the static document images will be replaced with their copies in PDF or another searchable format.

During PDF conversion, ABBYY Recognition Server can intelligently detect PDF files that require OCR processing while leaving untouched PDFs that already have a text layer. When converting PDF files into archiving formats such as searchable PDF or PDF/A, ABBYY Recognition Server will inject a text layer into them while keeping intact the image quality, metadata, bookmarks, annotations, attachments, and other features of the original document. ABBYY Recognition Server also extends support for digital archiving standards by supporting PDF/A-2a, PDF/A-2b and PDF/A-2u formats.

With the addition of an SQLite database and enhanced fault tolerance mechanisms, ABBYY Recognition Server 4.0 has become more robust and able to consistently handle high workloads or serve multiple clients within one installation. This makes the software suitable for extensive and enterprise-wide document conversion projects.

Easier integration with information systems is enabled by allowing importing and indexing to be assigned via Active Directory user groups.

Recognition Server enables automated, unattended processing which can be centrally managed and accessed from multiple points within the organisation or remotely. Recognition Server can also connect with a variety of back-end systems and third-party applications with integration via Scripts, XML tickets, a Web-service API, or a COM-based API. ABBYY intelligent OCR and PDF conversion technology delivers highly accurate document conversion with recognition of up to 190 languages.

ABBYY Recognition Server 4.0 is compatible with Google Search Appliance, SharePoint Server and Windows Search via connectors available as Add-on modules. When using Recognition Server together with enterprise search systems, image-based documents such as faxes, scanned agreements, contracts, correspondence, and any other TIFF, JPEG or PDF files can be easily converted into fully searchable data for easy access by enterprise search tools. 

Contact ABBYY at sales@abbyy.com.au or on 02 9004 7401 for any further information.