Process Electronic PDF Files 80% More Efficiently
CVISION Technologies, a leading provider of OCR, PDF optimization, and business process automation solutions, has optimized processing for image documents as well as native PDF files with electronically generated components.
Maximize Touchless Automation For Your Organization
Auto-validation is a touchless process that is faster and more accurate than manual validation. Documents qualify for auto-validation when they fit an organization’s unique, customizable business rules, or when they hold a high text confidence factor (this threshold is configurable and typically sits near 90%).
With the Electronic PDF Parsing Module for CVISION’s Trapeze for Forms Processing, organizations can expect to achieve a 90-100% text confidence factor on average, allowing for greater auto-validation rates and a faster, more efficient workflow. For example, if half of an organization’s documents are native PDF files, this module can increase total auto-validation rates by 30-50%.
Efficiently Process Both Image Documents and Electronically Generated PDF Files
The Electronic PDF Parsing Module enables CVISION’s Trapeze for Forms Processing solution to intelligently distinguish between scanned PDFs and electronic PDFs, also known as native PDF files. Whenever an electronic PDF is detected, Trapeze will bypass the resource-intensive and time-consuming OCR process, a powerful function that typically improves system performance by as much as 80%. Consequently, this function also allows Trapeze to dedicate newly freed up resources toward processing more image documents in a shorter period of time. In this way, extracting PDF data electronically improves accuracy and throughput, making the overall document-based workflow more efficient.
Benefits of the Electronic PDF Parsing Module
- Accelerate processing of electronic PDF components up to 80% by bypassing the resource-intensive OCR phase
- Maximize touchless automation with greatly improved text confidence factors for electronic PDF files
- Free up processing resources so that more image documents can be processed in a shorter period of time
- Maximize overall workflow efficiency by applying processing resources intelligently