It is particularly valuable for organizations dealing with large amounts of unstructured data, like most big companies. The goal is to help convert the information contained in the documents into actionable insights, to streamline business processes, and to make high quality information readily available to knowledge workers. Here is an illustration of the process:
Document AI extracts text from printed and handwritten documents, analyzes document structure and layout, identifies key-value pairs and tables, and processes the data for use by AI. The data includes structured data like spreadsheets, semi-structured data such as forms, and unstructured data like emails. The technologies used include Optical Character Recognition (OCR). natural language processing, machine learning models, especially deep learning, and computer vision.
Document AI is used for legal document analysis, healthcare record processing, financial documents, insurance, publishing, and more. Any organization that is lost in paperwork is a candidate for a Document AI system.