Insurance

Convert Paper, Images, PDFs to Editable Documents

The insurance industry faces an impressive amount of paperwork—from claims to contracts to EOBs—and processing these forms can be a time-consuming task for any office. That’s why it’s important to have the ability to quickly and accurately turn any paper documents into your choice of editable formats with the following products:

• ABBYY FineReader
  An intelligent  OCR software for accurately creating editable and searchable files from scanned documents, PDF files and digital camera images.
• ABBYY PDF Transformer
  An easy-to-use utility that both creates and converts PDFs instantly and accurately.

Create Searchable Archives, Streamline Data Capture

Insurance files grow larger and larger over the years—and when a claim is filed, you need immediate action with accurate data. ABBYY offers a powerful server-based solution for centralized processing of high volumes of paper or image-based documents. With its unmatched conversion accuracy, you can effortlessly create searchable archives for greater efficiency and better customer service.

• ABBYY Recognition Server
  A robust and powerful server-based OCR solution for automating high-volume document conversion processes across multiple departments.

Process High-Volumes of Documents, Forms and Invoices

With the high volumes of paperwork facing insurance agencies, time-consuming pre-sorting and error-prone manual data entry are a true liability. No matter what type of incoming document, they can be instantly classified and selectively processed, extracting valuable data for efficient batch processing, saving your company time and money.

• ABBYY FlexiCapture Professional
  A dynamic data and document capture software that accurately delivers automated capture, classification and indexing of any type of paper documents and forms in a single stream.

• Personal and proactive response on customer needs
• Increase quoting flexibility
• Accelerating business processes
• Reducing costs
• Gaining advantage over competition