From azure-sdk-python
Implements Azure AI Transcription SDK in Python for batch and real-time speech-to-text with diarization, timestamps, and multi-speaker support.
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/azure-sdk-python:azure-ai-transcription-pyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.
Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.
pip install azure-ai-transcription
TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com
TRANSCRIPTION_KEY=<your-key>
Use subscription key authentication (DefaultAzureCredential is not supported for this client):
import os
from azure.ai.transcription import TranscriptionClient
client = TranscriptionClient(
endpoint=os.environ["TRANSCRIPTION_ENDPOINT"],
credential=os.environ["TRANSCRIPTION_KEY"]
)
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)
stream = client.begin_stream_transcription(locale="en-US")
stream.send_audio_file("audio.wav")
for event in stream:
print(event.text)
npx claudepluginhub microsoft/skills --plugin azure-sdk-pythonProvides Azure AI Transcription SDK for Python with real-time and batch speech-to-text including timestamps and speaker diarization.
Transcribes short audio files (≤60s) to text via Azure Speech to Text REST API using Python requests. Supports WAV/OGG; no SDK required.
Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.