Document AI Glossary

Neutral reference definitions for the terminology used across document and content AI.

Reference definitions for document and content AI terminology: IDP, OCR, classification, extraction, DMS, CSP, records management, RAG and more.

These are reference definitions for the vocabulary used in document and content AI. Each entry explains what a term means, how it differs from the terms it is most often confused with, and what tends to go wrong in practice.

The definitions are written to be vendor-neutral. Where the industry disagrees about what a term covers, the entry says so rather than picking a side.

Capture and understanding

Managing and governing content

Acting on content

How to read these entries

Every entry opens with a one-sentence definition that stands on its own, then expands on the mechanics, the boundaries against adjacent terms, and the failure modes that show up once a system is in production. Entries cross-reference each other where the concepts genuinely connect, because most of these terms only make sense in relation to the others.

Terminology in this field shifts, and vendor marketing shifts it faster than practitioners do. Where a term has been redefined over time, such as the move from ECM to content services, the entry records the older usage as well so that older documentation still makes sense.

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