It is a data-driven world, and businesses of all types handle a plethora of documents like reports, invoices, forms and contracts. Using manpower alone to process these documents can be error-prone, time-consuming, and expensive. Intelligent…
For enterprise organizations, now is the time to embrace document data extraction and intelligent document processing. Despite the recent progress made in the move to digital, companies continue to extract data from business documents using…
Enterprise organizations are increasingly making use of document data extraction to study, classify and better utilize their structured, semi-structured, and unstructured data. This is evident in the compound annual growth rate forecast of 30.1% till…
Companies handle increasing amounts of data year-on-year. Much of this data is stored in paper documents, and despite digitization, the paper trail is only growing. A growing number of enterprises have turned to automated data…
The Wikipedia definition of information extraction is “the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources.” Although the presence of information extraction can be dated back…
