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From invoices and purchase orders to employee records and insurance documents, businesses rely on paper documents for critical processes. But paper-based processes are inefficient at best and, if documents are misplaced, potentially disastrous. PaperVision Capture R73, from Digitech Systems, Inc., makes it easy to turn large volumes of paper documents into electronic files quickly, easily and affordably—attributes that helped garner it a Winter 2012 “Pick” award as “Outstanding Enterprise Capture Solution” from Buyers Laboratory LLC (BLI).

“Information is what drives a business, and PaperVision Capture addresses many of the problems that companies face when trying to combine paper and electronic records into a coherent and reliable data flow,” said BLI Managing Editor Daria Hoffman. “The program can take input from scanners or other sources, and run the documents through a series of steps to get the data into the corporate database or line-of-business application.”

PaperVision Capture is an enterprise-class document capture and workflow solution designed to meet the needs of paper-intensive businesses. The solution can serve in a centralized scanning environment or in organizations where capture functions are distributed across multiple systems and geographic locations. A modular system, PaperVision Capture covers the full gamut of capture/workflow needs, including batch scan capture; metadata, barcode and full-text indexing; and even handwriting recognition for capture/processing of forms data.

Digitech Systems offers the PaperVision Capture platform as a set of modules, so that customers can purchase just those functions that are needed. Typical installations start with the Scan and Index modules, and then add others such as 2D Barcode, OCR, or Image Processing functions.

PaperVision Capture also has robust and sophisticated workflow management capabilities, and the administrator can create job definitions that guide the process after the capture step is complete. This can include manual or automated indexing of the documents, OCR processing, barcode reading, image processing, and extensive quality control (QC). Job steps can be assigned to specific individuals or to defined groups of operators, and the workflow can branch based on the results of a step. For example, a document that fails a QC step can be routed for further manual processing by an operator.

In addition to capturing hardcopy documents, PaperVision Capture can also capture some electronic files and offers integration with a variety of enterprise content management (ECM) systems and line-of-business applications, including Microsoft SharePoint and other platforms.

“We are honored that PaperVision Capture has been chosen as a Winter 2012 ‘Pick’ award winner by Buyer’s Laboratory,” said HK Bain, CEO of Digitech Systems. “By converting their paper-based information to electronic files, PaperVision Capture users are improving business efficiency, boosting control of critical data, and saving money throughout their enterprises. It is gratifying to see the product recognized as one of the best products in the capture industry at delivering these benefits.”

For more information, see BLI’s full Solutions Report.

About BLI Picks
Twice a year with its “Pick” awards, BLI gives special recognition to the hardware and software products that provided the most outstanding performances in BLI’s unique evaluations. Software solutions undergo an in-depth hands-on review that focuses on key attributes for a solution’s target market and compares how well the product stacks up against leading competitors. “Pick” winners rise above the competition in key areas such as value, feature set, ease of use, ease of administration, hardware compatibility, software integration, security and support. Software solutions earn an overall rating based on a five-star scale, and “Pick” contenders are culled from those that earn the highest ratings. Consequently, a BLI “Pick” is a hard-earned award that buyers and IT directors can trust to better guide them in their acquisition decisions.

BLI Release Source January 16, 2012

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