Digital transformation for any organization needs to be performed from at a grassroots level and at the grass-root levels are Documents – reliability on the documents whether they belong to the accounting and finance dept, supply chain, or procurement hard copies of the documents are all over the place in organizations belonging to different sizes.
Paper documents still are a part of business operations in most enterprises and are used up to 25 to 30% of all the time, across all business domains and it is observed that where ever paper documents are involved, error and latency crops up.
Digitizing the documents is indispensable when moving towards digital transformation and Optical Character Recognition (OCR) leverages organizations to digitize the paper documents and fill the gap, but for OCR to be a hit, the quality of the scanned document must be good.
Errors in the quality of the output while using traditional OCR tools interfere with the precisions levels and throughput of even with emerging technologies such as Robotic Process Automation (RPA) in a paper document-driven landscape
Intelligent Data Capture defiance this problem and assists in higher accuracy.
MOURI Tech’s data capture tool powered by AURA (aiAURA DCap) captures data from all sets and types of documents including Structured and unstructured documents such as scanned documents, email, text, PDF, etc., further classifying them it into sets and subsets by pulling out exact information, and validating it.
