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://
/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.