Skill UI

This SDK provides a comprehensive Python client library for interacting with Azure AI Speech-to-Text services. It supports both real-time streaming transcription and robust batch processing of audio files. Users can leverage advanced features such as speaker diarization (identifying multiple speakers) and capturing precise timestamps, making it invaluable for automated meeting minute generation, podcast content processing, and live captioning solutions.

This SDK provides a comprehensive client library for Azure AI Document Translation service. It enables large-scale, batch translation of various document formats, including Word, PDF, Excel, and PowerPoint, while accurately preserving the original document structure and formatting. It supports features like glossary integration and async operations, making it ideal for enterprise content localization pipelines.

This SDK provides a comprehensive client library for Azure AI Document Translation service. It enables large-scale, batch translation of various document formats, including Word, PDF, Excel, and PowerPoint, while accurately preserving the original document structure and formatting. It supports features like glossary integration and async operations, making it ideal for enterprise content localization pipelines.

A comprehensive Python SDK for interacting with the Azure AI Translator service. It provides robust features including real-time text translation, language detection, script transliteration, and detailed dictionary lookups. Ideal for developers building multilingual applications that require accurate cross-cultural text processing.

A comprehensive Python SDK for interacting with the Azure AI Translator service. It provides robust features including real-time text translation, language detection, script transliteration, and detailed dictionary lookups. Ideal for developers building multilingual applications that require accurate cross-cultural text processing.

This SDK provides Java developers with access to advanced image analysis features from Azure AI Vision. It allows applications to perform various visual tasks, including OCR text extraction, generating detailed image captions, detecting specific objects with bounding boxes, recognizing content tags, and performing smart cropping. Use it when building applications that require deep visual understanding of images.

A comprehensive SDK for building real-time, bidirectional voice AI applications using Azure AI services within the .NET framework. This library facilitates seamless voice interactions, supporting WebSocket communication, advanced features like function calling, and handling audio/text streaming events for developing sophisticated virtual assistants.

The Azure AI VoiceLive SDK for Java enables real-time, bidirectional voice conversations with AI assistants. Using WebSocket technology, this SDK supports low-latency streaming, advanced features like turn detection, noise reduction, and customizable voice selection (OpenAI/Azure). It is ideal for developers building sophisticated voice bots or interactive voice applications in Java.

This SDK provides a comprehensive solution for centralized application configuration management in Azure. It allows developers to store, manage, and dynamically refresh application settings, including implementing feature flags and integrating secrets from Azure Key Vault. By decoupling configuration from code, teams can modify application behavior and deploy features without requiring service redeployment.

This SDK provides a comprehensive solution for centralized application configuration management in Azure. It allows developers to store, manage, and dynamically refresh application settings, including implementing feature flags and integrating secrets from Azure Key Vault. By decoupling configuration from code, teams can modify application behavior and deploy features without requiring service redeployment.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.