Loading source

Preparing the source view

Pulling the file list, source metadata, and syntax-aware rendering for this listing.

Source from repo

Azure AI Services

Guidance for building and deploying AI solutions on Azure using Azure AI services and Copilot for Azure

microsoftGitHub microsoftOfficialSource repo Original GitHub link Publisher page

Files

17

Skill

n/a

Size

28.2 KB

Entrypoint

SKILL.md

Format

git-repo

Open file

references/sdk/azure-ai-transcription-py.md

Syntax-highlighted preview of this file as included in the skill package.

Rendered Source

markdown31 linesFree

Azure AI Transcription — Python SDK Quick Reference

Condensed from azure-ai-transcription-py. Full patterns (real-time streaming, diarization, timestamps) in the azure-ai-transcription-py plugin skill if installed.

Install

pip install azure-ai-transcription

Quick Start

import os
from azure.ai.transcription import TranscriptionClient
client = TranscriptionClient(endpoint=os.environ["TRANSCRIPTION_ENDPOINT"],
    credential=os.environ["TRANSCRIPTION_KEY"])

Non-Obvious Patterns

Auth uses subscription key string directly (not AzureKeyCredential); DefaultAzureCredential not supported
Batch: client.begin_transcription(name=..., locale="en-US", content_urls=[...], diarization_enabled=True)
Real-time: stream = client.begin_stream_transcription(locale="en-US"); stream.send_audio_file("audio.wav")

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