🤖 The Top 30 Microsoft AI APIs, SDKs & Connectors — Quick Reference Guide

November 16, 2025

Microsoft’s Azure AI ecosystem is huge, and it can be tough to keep track of what’s what. This cheat sheet rounds up the 30 most useful APIs, SDKs, and connectors across the platform—organized by capability—so you can quickly find the right tool and jump straight into the official docs.


🧠 I. Azure Cognitive Services (Vision, Speech, Language, Decision)

These ready-to-use AI services plug directly into your apps via REST APIs or SDKs.

#Service / ProductWhat It DoesDocumentation
1Azure OpenAI ServiceAccess advanced language models like GPT-4 for chat, reasoning, and content generation.Azure OpenAI Docs
2Azure AI SearchEnterprise search with vector indexing, hybrid search, and RAG-ready features.Azure AI Search Docs
3Vision APIImage analysis, object detection, and general computer vision tasks.Azure AI Vision Docs
4Face APIFace detection, recognition, and attribute analysis.Azure AI Face Docs
5Speech ServicesSpeech-to-text, text-to-speech, and custom voice capabilities.Azure AI Speech Docs
6Translator APIFast, multi-language text and document translation.Azure Translator Docs
7Language Understanding (LUIS)Build domain-specific NLP models for apps and bots.LUIS Docs
8Text Analytics APISentiment, entity extraction, PII detection, and more.Azure AI Language Docs
9Anomaly DetectorSpot unusual patterns in time-series data.Anomaly Detector Docs
10Content ModeratorFilters offensive, risky, or unwanted content in text, images, and video.Content Moderator Docs
11Form Recognizer (Document Intelligence)Extract structured data from documents, forms, and receipts.Document Intelligence Docs
12PersonalizerReal-time personalization using reinforcement learning.Personalizer Docs

🛠️ II. Machine Learning Platform & SDKs

Tools for building, training, tuning, and deploying custom models.

#Service / ProductWhat It DoesDocumentation
13Azure ML SDK (Python)End-to-end ML lifecycle: data, compute, training, deployment.Azure ML Python SDK
14Azure ML REST APIProgrammatic control over all Azure ML assets and workflows.Azure ML REST Reference
15ONNX RuntimeHigh-performance inference engine for running models anywhere.ONNX Runtime Docs
16MLflow IntegrationOpen-source tracking, model registry, and ML lifecycle, fully supported in Azure ML.MLflow on Azure ML

⚙️ III. Power Platform AI Connectors

For no-code/low-code builders integrating AI directly into business workflows and apps.

#ConnectorWhat It DoesPower Automate Link
17Azure OpenAI ConnectorLets Power Automate and Power Apps call GPT models.Azure OpenAI Connector
18AI BuilderPrebuilt no-code AI models (object detection, form processing, etc.).AI Builder Docs
19Text Analytics ConnectorAdds sentiment, key phrase extraction, and more to flows.Text Analytics Connector
20Translator ConnectorTranslate text inside apps and automated workflows.Translator Connector
21Vision ConnectorImage analysis and object detection within Power Platform.Vision Connector
22Speech Services ConnectorAdd speech-to-text or text-to-speech to automation.Speech Services Connector
23Custom ConnectorBuild your own connector for any Azure AI REST endpoint.Custom Connector Docs

☁️ IV. Cross-Platform & Specialized APIs

#Service / ProductWhat It DoesDocumentation
24Microsoft Graph API (Search & Intelligence)Tap into Microsoft 365’s contextual organizational data.Graph API Reference
25Bot Framework SDKBuild chatbot and conversational interfaces.Bot Framework Docs
26Semantic KernelLightweight agent tooling combining LLMs with real code.Semantic Kernel Docs
27Mixed Reality ServicesSpatial Anchors and AR/VR-ready APIs.Mixed Reality Docs
28Azure MapsGeospatial intelligence, routing, and spatial analytics.Azure Maps Docs
29Windows MLBuilt-in ML model execution for Windows apps.Windows ML Docs
30Cognitive Services SDKs (Multi-Language)SDKs across Python, C#, Java, JavaScript, and more.Azure SDKs Overview

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