azure-ai-transcription-py — Python-клиент для транскрибации речи Azure

--- name: azure-ai-transcription-py description: Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. risk: unknown source: community date_added: '2026-02-27' --- # Azure AI Transcription SDK for Python Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription. ## Installation ```bash pip install azure-ai-transcription ``` ## Environment Variables ```bash TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com TRANSCRIPTION_KEY=<your-key> ``` ## Authentication Use subscription key authentication (DefaultAzureCredential is not supported for this client): ```python import os from azure.ai.transcription import TranscriptionClient client = TranscriptionClient( endpoint=os.environ["TRANSCRIPTION_ENDPOINT"], credential=os.environ["TRANSCRIPTION_KEY"] ) ``` ## Transcription (Batch) ```python job = client.begin_transcription( name="meeting-transcription", locale="en-US", content_urls=["https://<storage>/audio.wav"], diarization_enabled=True ) result = job.result() print(result.status) ``` ## Transcription (Real-time) ```python stream = client.begin_stream_transcription(locale="en-US") stream.send_audio_file("audio.wav") for event in stream: print(event.text) ``` ## Best Practices 1. **Enable diarization** when multiple speakers are present 2. **Use batch transcription** for long files stored in blob storage 3. **Capture timestamps** for subtitle generation 4. **Specify language** to improve recognition accuracy 5. **Handle streaming backpressure** for real-time transcription 6. **Close transcription sessions** when complete ## When to Use This skill is applicable to execute the workflow or actions described in the overview.