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Computer Vision

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Analyzes images to detect faces, colors, content, and generate descriptions.

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Updated 2026-06-15

What is Computer Vision?

The API applies algorithms to analyze images and extract details such as faces, colors, categories, and textual descriptions.

It supports tasks including content moderation, image organization, accessibility, and thumbnail creation.

Endpoints

9 operations exposed by this API (v1.0).

post/analyze— AnalyzeImage
post/describe— DescribeImage
post/generateThumbnail— GenerateThumbnail
get/models— ListModels
post/models/{model}/analyze— AnalyzeImageByDomain
post/ocr— RecognizePrintedText
post/recognizeText— RecognizeText
post/tag— TagImage
get/textOperations/{operationId}— GetTextOperationResult

What you can build with Computer Vision

Content moderation for user uploads

Scan images in apps or websites to automatically flag mature or inappropriate content before publishing.

Image captioning for accessibility

Generate English descriptions of photos to improve screen reader support and alt text in web or mobile apps.

Smart photo library organization

Categorize user photos by detected objects, dominant colors, and faces to enable search and grouping features.

Get started with Computer Vision

  1. 1Create a free Azure account and sign in to the portal
  2. 2Create a new Computer Vision resource and note the endpoint URL
  3. 3Copy the subscription key from the resource keys section
  4. 4Send a POST request to the /analyze endpoint with an image URL or binary data
  5. 5Parse the returned JSON for tags, colors, faces, descriptions, and other fields

Computer Vision: pros & cons

Pros

  • +Wide range of built-in analysis features in one call
  • +Produces readable English image descriptions
  • +Includes thumbnail generation and color analysis
  • +Reliable face detection and adult content flags

Cons

  • –Descriptions limited to English only
  • –Usage-based pricing after free tier
  • –Requires network access to Azure cloud
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Frequently asked questions

It analyzes images to return structured data including object categories, colors, faces, adult content flags, and English descriptions.

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