microsoftdocs/azure-document-intelligence

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

| Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L37-L43 | Diagnosing and fixing Document Intelligence issues: latency/performance problems, service error codes and meanings, and known Foundry-specific bugs and workarounds. | | Best Practices | L44-L54 | Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/classification workflows, and managing the full Document Intelligence model lifecycle | | Decision Making | L55-L60 | Choosing which Document Intelligence model and API version to use, and how to migrate workflows between different API versions and capabilities | | Architecture & Design Patterns | L61-L65 | Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments. | | Limits & Quotas | L66-L76 | Quotas, capacity add-ons, throttling behavior, batch scaling, and language/OCR support limits for Document Intelligence (service, custom, and prebuilt models). | | Security | L77-L84 | Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources. | | Configuration | L85-L90 | Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows. | | Integrations & Coding Patterns | L91-L100 | Using 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 | | Deployment | L101-L107 | Deploying Document Intelligence via Docker/containers, including image tags, offline/disconnected setups, and installing/running the service and 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 | | Interpret and resolve Document Intelligence error codes | https://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 issues | 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 scores | 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 | | Use labeling tips to optimize Document Intelligence custom models | https://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 data | 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 | | Use supervised table tags for custom template models | 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 Document Intelligence model for workflows | https://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 versions | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0 |

Architecture & Design Patterns

| Topic | URL | |-------|-----| | Design 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 |

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 | | Azure Document Intelligence service limits and behaviors | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/faq?view=doc-intel-4.0.0 | | Review language support for Document Intelligence custom 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 | | Run batch document analysis at scale | https://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 throttling | 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 | | Configure data-at-rest encryption 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 | | Create and compose Document Intelligence custom models | https://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

| 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 layout output | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0 | | Call Document Intelligence models from applications | https://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 REST | https://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 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 |

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 | | Use Document Intelligence container image tags and releases | https://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 containers | https://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 tool | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0 |