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 TypeScript SDK for integrating Azure AI Translator services. It provides robust clients for both real-time text translation (including language detection, transliteration) and large-scale document translation. Users can translate single documents or manage complex batch translation jobs using REST-style API calls, making multilingual support easy to integrate into applications.

This SDK provides a comprehensive Python client for Azure AI Vision 4.0, enabling advanced image understanding tasks. It supports generating descriptive captions, extracting content tags, detecting objects and people with bounding boxes, performing OCR (text recognition), and suggesting smart crop regions. It is ideal for computer vision applications and detailed image content analysis.

This is the official Azure App Configuration SDK for Java. It provides comprehensive client functionality to manage application settings, feature flags, and secrets in a centralized location. Developers can use it to ensure robust, dynamic, and environment-specific configuration management in their Java applications, simplifying deployment and maintenance processes.

This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This comprehensive guide details how to build robust, production-grade NoSQL microservices using Python and Azure Cosmos DB. It emphasizes following architectural best practices, including the Service Layer pattern, TDD principles, secure authentication (DefaultAzureCredential), and implementing graceful degradation, making it ideal for developing enterprise-level backend systems.

The official Java SDK for Azure Cosmos DB, providing comprehensive client capabilities for NoSQL operations. It supports global distribution, multi-model data structures, and reactive patterns (async/await). Ideal for developing high-throughput, scalable enterprise applications in Java that require reliable, low-latency data storage.

A comprehensive guide and client library for interacting with Azure Cosmos DB, a globally distributed, multi-model NoSQL database, using Python. It provides full support for performing document CRUD operations, executing complex partitioned and cross-partition queries, managing containers, and handling advanced concepts like throughput and asynchronous operations.

A comprehensive client library for interacting with Azure Cosmos DB's NoSQL API in Rust. It enables performing core database operations, including CRUD (Create, Read, Update, Delete), patching, and managing globally distributed data. Ideal for building robust, data-intensive, and high-performance backend services on the Azure cloud platform.