White Paper: Smarter Document Capture

This white paper details the specific benefits of data capture, ways to prepare for success, and tools to accurately determine ROI. It provides a comprehensive understanding of the technology as well as the steps to properly introduce it into an organization. Paying attention to these critical aspects of a data capture integration has helped companies meet and exceed their automation expectations.

Data capture is the process of collecting data from paper or image format documents. Data is typically collected in field formats and stored in a database. The purpose of data capture is to replace the manual entry of documents and expedite the process by utilizing computer-processing power. The steps in data capture are input of image files, document classification, location of fields, extraction of data in those fields, quality checking of the extracted data, and finally the export of the data in a desired format. There are two types of data capture: fixed forms processing and semi-structured forms processing. There is some overlap between these two types, but the primary difference lies in the setup and configuration of the system. Fixed forms processing uses static coordinates on an image to find fields, while semi-structured forms processing uses relative coordinates and context.