Building a Platform for Intelligent Document Processing: Opportunities and Challenges

Companies of any size and industry still struggle in automatic business processes where human cognitive and contextualization capabilities are required to read and understand complex documents. Ongoing progress in the fields of Computer Vision and Natural Language Processing, where (large) language models are becoming increasingly and freely available, have made possible to create a new generation of Intelligent Document Processing technologies that allow automatically analyzing and understanding both documents layout and contents. In this paper we present an Intelligent Document Processing platform that makes use of hybrid AI techniques to allow document reading comprehension by means of a combination of Document Layout Analysis and recognition, table recognition and detection, context free grammars, and question answering techniques. Such a technology combines also no-code principles with high performance computing based on micro-services to streamline the execution of tasks such as document and text classification, document segmentation, entity extraction, sentiment analysis, question answering, and more.