The iData Extraction Module uses Content Based Object Retrieval Technology to extract data from Structured and Unstructured image sources.
In your enterprise data arrives in the form of images, PDFs and documents. Data contained in images is not editable and the size of images is typically large. With volume and size growing the need to extract data efficiently from images becomes a challenging task. Your enterprise may deploy a number of large teams and multiple technologies to extract the data from various image sources. This process involves teams that manually repunch the data and use disparate technologies to handle specific tasks. Overall the process of extracting data involves greater effort, longer turnaround times and typically involve high costs.
Accounts payable department that handles lots of invoices face challenges to cope with complex processes. iData Extraction brings robust automation to the accounts payable invoice handling process thus making it easy and efficient. This process is becoming a standard among organizations looking to reduce costs and make it effective. For all paper based documents such as invoices, the content based object retrieval technology automatically extracts invoice data from structured and unstructured invoices thereby automating the accounts payable process right from scanning, workflow management, tracking, reporting and presenting clean data that can ported and or inserted directly into subsequent process.