Top Loan Seller Selects CVISION for OCR Solution
Forest Hills, NY, March 28, 2011 - CVISION Technologies Inc. (http://www.cvisiontech.com), a leading provider of advanced document capture software, announced today that it will provide one of the nation's leading loan sellers with a software solution to optimize their document workflow. The loan seller purchased Maestro Recognition Server as their high volume OCR solution.
The loan seller is one of the nation's top loan sale advisors and serves an array of financial institutions, ranging from commercial banks to government agencies. As such, they have to handle a large inflow of loan documents. To process these documents in a timely manner, the loan seller turned to CVISION for OCR software to create fully text searchable and editable files. Maestro Recognition Server was able to accurately convert the loan seller's documents into a searchable format, allowing for easier text searches as well as document archival.
CVISION's Maestro Recognition Server is a high quality OCR product renowned for its accuracy, and high volume PDF conversion. Maestro uses an extremely accurate OCR engine, and produces PDF files that are instantly searchable. Its powerful batch processing capabilities ensure that large volumes of documents can be processed quickly. With Maestro, companies can create files that are easier to access, search, and retrieve.
Chris Koulouris, Marketing Director at CVISION Technologies, stated, "Due to the high volume of paper, organizations within the mortgage industry find advanced document capture software very compelling. Our solutions have helped many mortgage companies improve efficiency when handling image documents."
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.
