Azure AI Transcription SDK for Python

azure-ai-transcription-py

ngxtm/devkit·0installs8stars

SKILL.md

Full skill instructions

Azure AI Transcription SDK for Python

Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.

Installation

pip install azure-ai-transcription

Environment Variables

TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com
TRANSCRIPTION_KEY=<your-key>

Authentication

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"]
)

Transcription (Batch)

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)

stream = client.begin_stream_transcription(locale="en-US")
stream.send_audio_file("audio.wav")
for event in stream:
    print(event.text)

Best Practices

Enable diarization when multiple speakers are present
Use batch transcription for long files stored in blob storage
Capture timestamps for subtitle generation
Specify language to improve recognition accuracy
Handle streaming backpressure for real-time transcription
Close transcription sessions when complete

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/ngxtm/devkit --skill azure-ai-transcription-py

View on GitHub

skills/azure-ai-transcription-py/SKILL.md

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