Document processing has moved far beyond simple text extraction, yet many enterprise systems still operate with limited understanding of documents. Text is captured, but meaning remains unclear. Layouts are detected partially, but relationships between fields are missed. As document volumes increase and formats vary across sources, these gaps create inefficiencies across workflows. The next generation of document AI focuses on solving these problems by combining context, structure, and intelligence into a unified system. This blog explains what defines modern document AI, how it differs from traditional systems, and what capabilities enterprises should expect as document processing becomes more intelligent and adaptive. What Defines Next-Generation Document AI? Modern document AI focuses on understanding rather than extraction. From Text Extraction to Context-Aware Interpretation Systems now interpret meaning, not just capture text.…