azure-ai-transcription-py

Topics in the source

• Azure AI Transcription SDK for Python
• Installation
• Environment Variables
• Authentication & Lifecycle
• Transcription (Batch)
• Transcription (Real-time)
• Best Practices
• Reference Files

Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription. 🔑 Two rules apply to every code sample below: 1. Two auth modes are supported: AzureKeyCredential(os.environ["TRANSCRIPTIONKEY"]) for key-based auth, or DefaultAzureCredential() / any TokenCredential for Entra ID. Prefer DefaultAzureCredential in production; never hardcode credentials in code. 2. Wrap every client in a context manager so HTTP transports and sockets are released deterministically: - Sync: with (...) as client: - Async: async with (...) as client: Snippets may abbreviate this setup, but production code should always follow both rules. Use subscription key authentication: 1. Pick sync OR async and stay consistent. Do not mix azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module. 2. Always use context managers for clients and async credentials. Wrap every client in with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up. 3. Enable diarization when multiple speakers ar

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