/azure-ai-vision

name: azure-ai-vision
description: Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-10-25"
  generator: "docs2skills/1.0.0"

Azure AI Vision Skill

This skill provides expert guidance for Azure AI Vision. Covers decision making, limits & quotas, 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

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 | |----------|-------|-------------| | Decision Making | L33-L39 | Guidance on migrating and upgrading Azure Vision Image Analysis and Read OCR apps/containers, including choosing migration paths and moving from v2.x to v3.x APIs. | | Limits & Quotas | L40-L50 | Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support. | | Configuration | L51-L56 | Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image input, including environment settings, storage permissions, and connection details. | | Integrations & Coding Patterns | L57-L67 | How to call and configure Azure Vision/Read APIs and SDKs for OCR, embeddings, thumbnails, background removal, domain models, and live video frame analysis. | | Deployment | L68-L71 | Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings. |

Decision Making

| Topic | URL | |-------|-----| | Choose migration path from Azure Vision Image Analysis | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/migration-options | | Migrate to Azure Vision Read OCR container v3.x | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/read-container-migration-guide | | Upgrade applications from Read v2.x to v3.0 | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/upgrade-api-versions |

Limits & Quotas

| Topic | URL | |-------|-----| | Reference taxonomy categories for Azure Vision | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/category-taxonomy | | Understand Image Analysis 3.2 categorization taxonomy limits | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-categorizing-images | | Interpret adult content detection scores and thresholds | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-adult-content | | Use object detection and understand feature limits | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection | | Understand Image Analysis 4.0 object detection limits | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection-40 | | Use people detection and understand its limits | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-people-detection | | Check supported languages for Azure Vision OCR | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/language-support |

Configuration

| Topic | URL | |-------|-----| | Configure Azure Vision Read OCR containers | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-resource-container-config | | Configure Azure Blob Storage for Vision image retrieval | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/blob-storage-search |

Integrations & Coding Patterns

| Topic | URL | |-------|-----| | Call domain-specific models with Azure Vision | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-domain-content | | Analyze live video frames with Azure Vision API | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/analyze-video | | Call and configure Image Analysis 3.2 API | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image | | Call and configure Image Analysis 4.0 API | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image-40 | | Call and configure Azure Vision Read v3.2 API | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-read-api | | Use multimodal embeddings for image retrieval | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/imag