---
title: "What is Document AI?"
description: "Document AI uses machine learning, natural language processing (NLP) and optical character recognition (OCR) to extract, classify and understand information from structured, semi-structured and unstructured documents. Unlike OCR alone, it interprets layout and context, turning files such as invoices, contracts and emails into structured, actionable data through ingestion, OCR, layout parsing, entity extraction, classification, validation and, when needed, human review. Modern systems add large language models for summarization, document Q&A and zero-shot extraction, but hallucination risk makes validation and human oversight essential, particularly in regulated settings. The guide also describes Databricks Document Intelligence, which processes and stores documents alongside organizational data under Unity Catalog, using AI Functions, Variant and Lakeflow Jobs to create governed, queryable workflows without moving data between systems."
---

# What is Document AI?

[Databricks](https://yomu.fyi/company/databricks) · Databricks Staff · Jun 15, 2026

**Type:** Explainer

## Summary

Document AI uses machine learning, natural language processing (NLP) and optical character recognition (OCR) to extract, classify and understand information from structured, semi-structured and unstructured documents. Unlike OCR alone, it interprets layout and context, turning files such as invoices, contracts and emails into structured, actionable data through ingestion, OCR, layout parsing, entity extraction, classification, validation and, when needed, human review. Modern systems add large language models for summarization, document Q&A and zero-shot extraction, but hallucination risk makes validation and human oversight essential, particularly in regulated settings. The guide also describes Databricks Document Intelligence, which processes and stores documents alongside organizational data under Unity Catalog, using AI Functions, Variant and Lakeflow Jobs to create governed, queryable workflows without moving data between systems.

## Context

Organizations process large volumes of structured, semi-structured and unstructured documents, but converting their contents into usable business data can require manual entry and review. Document AI addresses this need across areas including finance, insurance, healthcare, legal work, mortgages and public-sector services.

## Approach / What changed

Document AI combines ingestion, OCR, layout parsing, entity extraction, classification, splitting, post-processing and human review. Modern workflows may add LLMs for summarization, question answering and zero-shot extraction. Databricks Document Intelligence integrates processing with governed data workflows using Unity Catalog, AI Functions, Variant and Lakeflow Jobs.

## Takeaways

- OCR converts image-based text into machine-readable characters, while document AI interprets meaning, context, layout and structure to produce labeled data fields.
- LLM-based document AI supports summarization, natural-language questions and zero-shot extraction, but hallucination risk requires validation and human review.
- Databricks Document Intelligence keeps processed document data alongside organizational data, with Unity Catalog governance and queryable Variant output.

**Tags:** [Databricks](https://yomu.fyi/topic/databricks), [Document AI](https://yomu.fyi/topic/document-ai), [Unity Catalog](https://yomu.fyi/topic/unity-catalog)

- Source: [Databricks](https://www.databricks.com/blog/what-is-document-ai)
- Source URL: https://www.databricks.com/blog/what-is-document-ai
- Ingested by Yomu: 2026-08-30T17:02:47.756Z

[Read original post](https://www.databricks.com/blog/what-is-document-ai)