Document Understanding Framework-An Innovative Way to Extract Information from Documents

structured, semi-structured, or unstructured documents and ready for a bot to pick up as input data. Using UiPath, we can easily configure rules, including regular expressions, to extract data from digital documents. However, the challenge becomes imminent if the document contains semi-structured, unstructured, or handwritten data. UiPath, with its default features, couldn’t extract reliably content in these cases. UiPath’s document understanding framework is used to extract data from these documents. Using this framework, the bot can extract information from multiple documents. Instead of creating or configuring different logic for different use cases, this approach is constructive. This paper explores the document understanding framework, usage of ML models for extracting data, and human-in-the-loop validation to act on flagged data, combining Robotic Process Automation (RPA) and Artificial Intelligence (AI) to extract, interpret data from different document types and ensure end to end document processing. Intelligent document processing enables businesses to increase efficiency, reduce errors, and enhance compliance. This research study discusses aspects and essential features of this framework and how they can be a game-changing solution for processing unstructured documents.