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":"2026-06-21","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

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/image-retrieval
Use OCR client libraries for text extraction	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/quickstarts-sdk/client-library

Deployment

Topic	URL
Install and run Azure Vision Read OCR container	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-how-to-install-containers