Document AI

What is Document AI?

Document AI is the application of artificial intelligence to the processing, understanding, and extraction of value from business documents. It encompasses the full range of AI capabilities applied to documents:

• Optical character recognition (OCR): converts images of text into machine-readable content.
• Machine learning: classifies documents and extracts data fields.
• Natural language processing (NLP) and large language models (LLMs): interpret meaning and context.
• Computer vision: analyzes document layout and structure.

Bridging the enterprise automation gap

Document AI addresses a fundamental challenge in enterprise automation: most business information exists in documents, invoices, contracts, applications, reports, and medical records, that were designed for human readers, not machine processing. Document AI bridges that gap, converting unstructured and semi-structured document content into the structured, accurate data that business systems and AI workflows require.

How a modern Document AI works

Modern Document AI combines multiple AI techniques in integrated pipelines, often referred to as intelligent document processing (IDP), that handle document intake, classification, extraction, validation, and integration end to end. As AI capabilities evolve, Document AI increasingly incorporates:

• Generative AI for data enrichment.
• Zero-shot processing for unfamiliar document types.
• Agentic architectures that allow AI systems to reason over document content autonomously.