Transcribe speech

  • 3 minutes

Speech transcription, or speech-to-text, involves submitting audio content to a model, which responds with a text-based transcript of the speech in the audio source.

Models that support speech-to-text operations include:

  • gpt-4o-transcribe
  • gpt-4o-mini-transcribe
  • gpt-4o-transcribe-diarize

Note

Model availability varies by region. Review the model regional availability table in the Microsoft Foundry documentation.

Using a speech-to-text model

To use a speech-to-text model in your own application, you can use the AzureOpenAI client in the OpenAI SDK to connect to the endpoint for your Microsoft Foundry resource, and upload the contents of an audio file to the model for transcription.

from openai import AzureOpenAI
from pathlib import Path

# Create an AzureOpenAI client
client = AzureOpenAI(
    azure_endpoint=YOUR_FOUNDRY_ENDPOINT,
    api_key=YOUR_FOUNDRY_KEY,
    api_version="2025-03-01-preview"
)

# Get the audio file
file_path = Path("speech.mp3")
audio_file = open(file_path, "rb")

# Use the model to transcribe the audio file
transcription = client.audio.transcriptions.create(
    model=YOUR_MODEL_DEPLOYMENT,
    file=audio_file,
    response_format="text"
)

print(transcription)