Microsoft has published practical guidance for choosing between Azure Document Intelligence and Azure Content Understanding, two services with overlapping optical character recognition and field-extraction features. Its main advice is to start with the workload rather than assume the newer product replaces the older one.
Document Intelligence remains a strong fit for structured forms, mature prebuilt schemas and custom models trained on labeled examples. It also offers containers for on-premises or air-gapped processing. Microsoft says customers whose existing Document Intelligence deployments already meet production requirements should keep them.
Content Understanding is the recommended starting point for new cloud OCR and layout projects, highly variable documents, inferred fields, retrieval preparation and mixed media such as images, audio and video. Its custom analyzers can extract fields without labeled examples and use generative models for reconciliation or multistep reasoning. The services retain separate APIs, endpoints, SDKs and billing.
The recommendations rely partly on Microsoft’s internal benchmarks, so teams should test both services on representative material where their capabilities overlap. Accuracy, latency, cost, human-review needs and deployment restrictions remain workload-specific rather than settled by the document category alone.