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azure-document-intelligence

Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument APIs, custom models,...

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SKILL.md

Full skill instructions

Azure AI Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/​markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL37-L43Diagnosing and fixing Document Intelligence issues: latency/​performance problems, service error codes and meanings, and known Foundry-specific bugs and workarounds.
Best PracticesL44-L54Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/​classification workflows, and managing the full Document Intelligence model lifecycle
Decision MakingL55-L60Choosing the right Document Intelligence model for your scenario and guidance on upgrading or migrating between different API versions and features.
Architecture & Design PatternsL61-L65Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments.
Limits & QuotasL66-L75Quotas, capacity add-ons, throttling behavior, batch scaling, and language/​OCR support limits for Document Intelligence (service, custom, and prebuilt models).
SecurityL76-L83Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources.
ConfigurationL84-L89Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows.
Integrations & Coding PatternsL90-L99Using SDKs/​REST to call Document Intelligence, handle AnalyzeDocument/​Markdown outputs, and integrate with apps, Azure Functions, and Logic Apps for end‑to‑end document workflows
DeploymentL100-L106Deploying Document Intelligence via Docker/​containers, including image tags, offline/​disconnected setups, and installing/​running the service and sample labeling tool.

Troubleshooting

TopicURL
Troubleshoot Azure Document Intelligence latency issueshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
Interpret and resolve Document Intelligence error codeshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0
Resolve known Azure Document Intelligence Foundry issueshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0

Best Practices

TopicURL
Improve Document Intelligence accuracy and confidence scoreshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-classifier?view=doc-intel-4.0.0
Build and train custom Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Use labeling tips to optimize Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply best practices for labeling Document Intelligence training datahttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Azure Document Intelligence custom model lifecyclehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Use supervised table tags for custom template modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

TopicURL
Select the right Azure Document Intelligence modelhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
Decide and migrate between Document Intelligence API versionshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0

Architecture & Design Patterns

TopicURL
Design disaster recovery for Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0

Limits & Quotas

TopicURL
Increase Document Intelligence capacity with add-onshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
Review language support for Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?view=doc-intel-4.0.0
Check OCR language and locale support for Read/​Layouthttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-4.0.0
Review language support for Document Intelligence prebuilt modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
Run batch document analysis at scalehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Understand Document Intelligence quotas, limits, and throttlinghttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

Security

TopicURL
Create SAS tokens for Document Intelligence storagehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
Configure data-at-rest encryption for Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest?view=doc-intel-4.0.0
Secure Document Intelligence with managed identities and VNetshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities-secured-access?view=doc-intel-4.0.0
Configure managed identities for Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0

Configuration

TopicURL
Configure Azure Document Intelligence containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0
Create and compose Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0

Integrations & Coding Patterns

TopicURL
Use AnalyzeDocument API response objects effectivelyhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown layout outputhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Call Document Intelligence models from applicationshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and RESThttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
Process documents with Azure Functions and Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/azure-function?view=doc-intel-4.0.0
Integrate Document Intelligence with Azure Logic Appshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0

Deployment

TopicURL
Run Document Intelligence containers in disconnected environmentshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
Use Document Intelligence container image tags and releaseshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
Install and run Document Intelligence Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
Deploy the Document Intelligence Sample Labeling toolhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0