azure-ai-transcription-py
Cloud, DevOps & Systèmes|
Documentation
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-transcriptionEnvironment 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
1.Enable diarization when multiple speakers are present
2.Use batch transcription for long files stored in blob storage
3.Capture timestamps for subtitle generation
4.Specify language to improve recognition accuracy
5.Handle streaming backpressure for real-time transcription
6.Close transcription sessions when complete
Compétences similaires
Explorez d'autres agents de la catégorie Cloud, DevOps & Systèmes
hybrid-cloud-architect
Expert hybrid cloud architect specializing in complex multi-cloud
VOIR LA FICHE
azure-search-documents-ts
Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.
VOIR LA FICHE
azure-mgmt-weightsandbiases-dotnet
|
VOIR LA FICHE