Pushing Toward Paperless: Automated Data Processing Systems
A white paper from CVISION Technologies, Inc.
CVISION's Trapeze Takes Data Capture to New Heights
Even as the world moves more heavily toward electronic transactions, paper documents continue to be a burden on most organizations. For example, according to the U.S. Healthcare Efficiency Index, there are almost 13 billion paper transactions annually related to U.S. healthcare claims and payments alone. Areas like financial services, insurance, government, and accounts payable also continue to deal with enormous amounts of paper transactions.Without an automated system in place to process such large volumes of data, organizations from almost all industries will struggle with high paper storage costs, labor costs, and lengthy processing times.
To process these transactions, information needs to be captured from the paper documents and entered into software applications like ERP, electronic medical records, and financial management systems. In recent years, organizations have been increasingly relying on automatic recognition technology to perform this capture. These document capture systems are typically powered by OCR/ ICR, or automatic character recognition technology, which is applied to document images. More recently, intelligence has been added to create what are known as IDR (intelligent document recognition) applications. Read on to see why IDR is at the center of leading automated data processing systems today:
Discover Automated Data Capture
Section 1 | IDR Systems
Capture Data Better with CVISION's Trapeze
Trapeze leverages CVISION's powerful, highly accurate OCR technology so organizations can move toward the paperless office with confidence. Download a trial version of CVISION's automated data capture system to save on paper and labor costs, reduce human error, and accelerate document processing time today.
More Accurate Character Recognition Means More Confident Automation
Through expertise in advanced image processing, CVISION delivers superior data recognition rates, even in poor quality scans, to ensure its users can process data efficiently when other systems fall short. Trapeze has been shown to help organizations improve the accuracy and speed of forms processing, without investing company resources in costly new labor hires. Read on to see how superior automated data recognition can help your organization move its resources out of mundane data entry toward higher value tasks: