Intelligent Document Processing (IDP)
Intelligent Document Processing (IDP) is the use of artificial intelligence to automatically extract, classify, validate, and process information from structured, semi-structured, and unstructured documents.
What is Intelligent Document Processing?
IDP combines technologies such as optical character recognition (OCR), natural language processing (NLP), computer vision, and machine learning to understand document content. Unlike traditional document processing, which relies on fixed templates, IDP can interpret diverse document formats, identify key information, and convert unstructured data into structured, actionable data for downstream systems.
Why is Intelligent Document Processing Important?
Organizations process large volumes of invoices, contracts, forms, emails, and other documents that are often time-consuming to handle manually. IDP automates these workflows, improving accuracy, reducing processing time, minimizing manual effort, and enabling faster business decisions. When combined with generative AI, IDP can also summarize documents, answer questions, and extract contextual insights.
Common use cases
Intelligent document processing is commonly used for invoice processing, contract analysis, claims processing, loan applications, identity verification, healthcare records, legal document management, and enterprise workflow automation.