Xiao-I IDP Helps You to Tackle “Roadblocks” in Unstructured Documents

During the digital transformation of enterprises, a large amount of business data they handle is unstructured. These unstructured documents also known as open format documents, usually lack distinct format characteristics, and the way of information expression varies greatly. Moreover, the semantic range of unstructured documents is wide, the domain data is very different, and the key information extraction needs to be completed by semantic understanding and inference, which makes this process difficult and time-consuming.

Handling unstructured documents is necessary to combine computer vision, optical character recognition (OCR), natural language processing (NLP), document parsing, document information extraction, and other technologies for intelligent document processing (IDP).

Based on OCR, computer vision, NLP, machine learning and other technologies, Xiao-I has launched IDP products and innovatively proposed solutions combining robotic process automation (RPA)+IDP for various application scenarios. These solutions can automate the process of document recognition, classification and key information extraction. This helps users create an efficient and fast text processing platform, achieving smarter enterprise document processing and significantly enhancing business value.

Xiao-I IDP products have a variety of pre-training templates to create a general model to meet the needs of various documents of enterprises. Besides, based on strong customized AI capabilities and general models, you can easily customize your own model to specific business needs.

IDP products also have powerful document proofreading capabilities. After intelligent document classification is completed, the classification results can be flexibly adjusted manually to ensure 100% accuracy. It also supports dialogue-based proofreading, which can accurately understand user intentions and engage in targeted conversations, providing users with more accurate and complete document review services and improving document review speed and accuracy.

For example, in tasks like enterprise financial invoice recognition and reimbursement, using IDP products can greatly save time for each invoice review. This helps enterprises standardize financial rule management and reduce problems like inconsistent manual reviews, unclear rules and high audit error rates so as to consolidate financial data and leverage asset value.