Azure document intelligence

Azure AI Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. Covers troubleshooting, best practices, decision making, 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

Category	Lines	Description
Troubleshooting	L36-L42	Diagnosing latency, understanding and fixing Document Intelligence API error codes, and handling known service issues and limitations.
Best Practices	L43-L54	Guidance on training, labeling, composing, and managing custom/classification/template models to maximize Document Intelligence accuracy, confidence, and lifecycle quality.
Decision Making	L55-L61	Guidance on choosing the right Document Intelligence model, estimating usage/costs, and planning migration and version upgrades (including to v4.0).
Limits & Quotas	L62-L72	Capacity add-ons, container image tags, OCR and model language/locale support, batch processing at scale, and service quotas/limits for Azure Document Intelligence.
Security	L73-L80	Securing Document Intelligence resources: creating SAS tokens, configuring data-at-rest encryption with customer-managed keys, and using managed identities and VNETs for secure access.
Configuration	L81-L86	Configuring and deploying Document Intelligence containers, and managing/sharing custom model projects in Document Intelligence Studio for collaborative use.
Integrations & Coding Patterns	L87-L97	How to call Document Intelligence via REST/SDKs, use the sample tool, and integrate outputs (JSON/Markdown) into workflows with Azure Functions and Logic Apps.
Deployment	L98-L105	Guides for deploying Document Intelligence: Docker/container setup (including offline), SDK/REST API usage, disaster recovery, and deploying the sample labeling tool.

Troubleshooting

Topic	URL
Troubleshoot Azure Document Intelligence latency issues	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
Reference and resolve Document Intelligence API errors	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0
Handle known issues in Azure Document Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0

Best Practices

Topic	URL
Improve Document Intelligence accuracy and confidence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification models	https://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 models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Create and compose custom Document Intelligence models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0
Use efficient labeling tips in Document Intelligence Studio	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply labeling best practices for high-accuracy custom models	https://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 lifecycle	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Train template models using supervised table tags	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

Topic	URL
Select the right Azure Document Intelligence model	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
Estimate Document Intelligence usage and cost	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/estimate-cost?view=doc-intel-4.0.0
Decide and migrate to Document Intelligence v4.0	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0

Limits & Quotas

Topic	URL
Increase Document Intelligence capacity with add-ons	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
Reference Document Intelligence container image tags	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
Understand language support for custom Document Intelligence models	https://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/Layout	https://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 models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
Use Document Intelligence batch analysis at scale	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Service quotas and limits for Azure Document Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

Security

Topic	URL
Create SAS tokens for Document Intelligence storage	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
Manage data-at-rest encryption and CMK for Document Intelligence	https://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 VNETs	https://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 Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0

Configuration

Topic	URL
Configure Azure Document Intelligence containers	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0
Share custom model projects in Document Intelligence Studio	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/project-share-custom-models?view=doc-intel-4.0.0

Integrations & Coding Patterns

Topic	URL
Use AnalyzeDocument API response objects effectively	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown output	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and REST	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Process documents with Azure Functions and Document Intelligence	https://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 Apps	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0
Use sample tool with REST API to train models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/label-tool?view=doc-intel-2.1.0
Label, train, and analyze forms with sample tool	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/try-sample-label-tool?view=doc-intel-2.1.0

Deployment

Topic	URL
Run Document Intelligence containers in disconnected environments	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
Install and run Document Intelligence Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
Implement disaster recovery for Document Intelligence models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0
Start using Document Intelligence SDKs and REST API	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
Deploy the Document Intelligence Sample Labeling tool	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0