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    "slug": "azure-ai-transcription-py",
    "name": "Azure Ai Transcription Py",
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    ],
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      {
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Azure AI Transcription SDK for Python",
        "body": "Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription."
      },
      {
        "title": "Installation",
        "body": "pip install azure-ai-transcription"
      },
      {
        "title": "Environment Variables",
        "body": "TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com\nTRANSCRIPTION_KEY=<your-key>"
      },
      {
        "title": "Authentication",
        "body": "Use subscription key authentication (DefaultAzureCredential is not supported for this client):\n\nimport os\nfrom azure.ai.transcription import TranscriptionClient\n\nclient = TranscriptionClient(\n    endpoint=os.environ[\"TRANSCRIPTION_ENDPOINT\"],\n    credential=os.environ[\"TRANSCRIPTION_KEY\"]\n)"
      },
      {
        "title": "Transcription (Batch)",
        "body": "job = client.begin_transcription(\n    name=\"meeting-transcription\",\n    locale=\"en-US\",\n    content_urls=[\"https://<storage>/audio.wav\"],\n    diarization_enabled=True\n)\nresult = job.result()\nprint(result.status)"
      },
      {
        "title": "Transcription (Real-time)",
        "body": "stream = client.begin_stream_transcription(locale=\"en-US\")\nstream.send_audio_file(\"audio.wav\")\nfor event in stream:\n    print(event.text)"
      },
      {
        "title": "Best Practices",
        "body": "Enable diarization when multiple speakers are present\nUse batch transcription for long files stored in blob storage\nCapture timestamps for subtitle generation\nSpecify language to improve recognition accuracy\nHandle streaming backpressure for real-time transcription\nClose transcription sessions when complete"
      }
    ],
    "body": "Azure AI Transcription SDK for Python\n\nClient library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.\n\nInstallation\npip install azure-ai-transcription\n\nEnvironment Variables\nTRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com\nTRANSCRIPTION_KEY=<your-key>\n\nAuthentication\n\nUse subscription key authentication (DefaultAzureCredential is not supported for this client):\n\nimport os\nfrom azure.ai.transcription import TranscriptionClient\n\nclient = TranscriptionClient(\n    endpoint=os.environ[\"TRANSCRIPTION_ENDPOINT\"],\n    credential=os.environ[\"TRANSCRIPTION_KEY\"]\n)\n\nTranscription (Batch)\njob = client.begin_transcription(\n    name=\"meeting-transcription\",\n    locale=\"en-US\",\n    content_urls=[\"https://<storage>/audio.wav\"],\n    diarization_enabled=True\n)\nresult = job.result()\nprint(result.status)\n\nTranscription (Real-time)\nstream = client.begin_stream_transcription(locale=\"en-US\")\nstream.send_audio_file(\"audio.wav\")\nfor event in stream:\n    print(event.text)\n\nBest Practices\nEnable diarization when multiple speakers are present\nUse batch transcription for long files stored in blob storage\nCapture timestamps for subtitle generation\nSpecify language to improve recognition accuracy\nHandle streaming backpressure for real-time transcription\nClose transcription sessions when complete"
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    "provenanceUrl": "https://clawhub.ai/thegovind/azure-ai-transcription-py",
    "publisherUrl": "https://clawhub.ai/thegovind/azure-ai-transcription-py",
    "owner": "thegovind",
    "version": "0.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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