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Azure AI Services API

Azure AI Services API offers cloud-based tools for developers to implement AI features like sentiment analysis, image recognition, and real-time translation in their applications.

Developed by Microsoft Azure

99.95%Uptime
250msLatency
4.2kStars
API KeyAuth
NoCredit Card
RESTStyle
2026-01-20Version
API Endpoints

Reference for available routes, request structures, and live examples.

Analyze images using Azure AI Vision

Full Endpoint URL
https://azure.microsoft.com/vision/v3.2/analyze
Implementation Example
curl -X POST 'https://azure.microsoft.com/vision/v3.2/analyze' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "url": "https://example.com/image.jpg"
}
Expected Response
{
  "categories": [
    {
      "name": "abstract_",
      "score": 0.5
    }
  ]
}
Version:v3.2
Limit:Free tier available
Real-World Applications
  • Chatbots with sentiment and intent recognitionOptimized Capability
  • Accessibility tools with speech-to-text and TTSOptimized Capability
  • Enterprise fraud detection with anomaly detectionOptimized Capability
  • Real-time translation in communication appsOptimized Capability
Advantages
  • Unified suite for vision, language, speech, decision
  • Strong enterprise SLA & compliance
  • Wide SDK language support
  • Free-tier available for rapid prototyping
Limitations
  • Complex pricing tiers across services
  • Regional availability varies by feature
  • Some advanced features require moving to Standard tier
  • Latency may vary by region and model complexity

FAQs

API Specifications

2026-01-20
Pricing Model
Pay-as-you-go based on transactions, with additional charges for custom models and training
Credit Card
Not Required
Response Formats
JSON
Supported Languages
7 Languages
SDK Support
.NET, Java, Python, JavaScript, Go, C++
Time to Hello World

Under 10 minutes to provision resource and get API key

Rate Limit

10,000 requests per minute per subscription

Free Tier Usage

F0 SKU: 5,000 transactions per month free for Text, Vision, Speech services

Use Case: Best For

Developers needing scalable, enterprise-grade AI features via REST or SDK

Not Recommended For

Ultra-low latency edge devices without internet; completely offline scenarios

#nlp#azure-ai#vision#speech#cognitive-services

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