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Department within Portuguese Government Chooses CVISION for Invoice Processing Solution

CVISION Technologies Inc., a leading provider of advanced document capture software, announced today that it will provide the Portuguese government with a software solution to optimize their accounts payable department through an automated invoice processing solution. The government purchased a license of Trapeze for Invoice Processing to process one million invoices per month.

The Portuguese government purchased Trapeze to automate their invoice processing, allowing invoice data to be extracted automatically and accurately. Prior to implementing automation, the government utilized manual data entry to process their invoices. This was an inefficient method that was both costly and time consuming. The large volume of invoices made the task especially difficult and drained department resources. With Trapeze the government was able to allocate department staff more efficiently, conserve resources, and process invoices in a timely and reliable manner.

CVISION’s Trapeze is a high quality automation solution that streamlines invoice processing. Powered by a highly accurate OCR engine, Trapeze performs data extraction with unmatched accuracy. The software can recognize the various fields that invoices contain and can be customized to suit each organization’s needs.

Chris Koulouris, Marketing Director at CVISION Technologies,said, “When it comes to invoice processing, organizations no longer have to depend on manual data entry. Automation is a viable and efficient alternative to manual data entry that can result in improved invoice processing and higher productivity.”

About CVISION
CVISION Technologies Inc. creates software to optimize the accessibility and processes associated with document capture. CVISION offers the best in file compression, recognition technology, automated data extraction, and PDF workflow applications. Through more efficient, automated workflows, CVISION clients can realize a measurable return on their document-driven processes.