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Azure Text to Speech (tts)

Convert text to natural-sounding speech using Azure OpenAI's Text to Speech models. Supports multiple voices and audio formats.

Quick Start​

LiteLLM SDK

SDK Usage
from litellm import speech
from pathlib import Path
import os

## set ENV variables
os.environ["AZURE_API_KEY"] = ""
os.environ["AZURE_API_BASE"] = ""
os.environ["AZURE_API_VERSION"] = ""

# azure call
speech_file_path = Path(__file__).parent / "speech.mp3"
response = speech(
        model="azure/<your-deployment-name>",
        voice="alloy",
        input="the quick brown fox jumped over the lazy dogs",
    )
response.stream_to_file(speech_file_path)

LiteLLM PROXY

proxy_config.yaml
model_list:
 - model_name: azure/tts-1
    litellm_params:
      model: azure/tts-1
      api_base: "os.environ/AZURE_API_BASE_TTS"
      api_key: "os.environ/AZURE_API_KEY_TTS"
      api_version: "os.environ/AZURE_API_VERSION"

Available Voices​

Azure OpenAI supports the following voices:

  • alloy - Neutral and balanced
  • echo - Warm and upbeat
  • fable - Expressive and dramatic
  • onyx - Deep and authoritative
  • nova - Friendly and conversational
  • shimmer - Bright and cheerful

Supported Parameters​

All Parameters
response = speech(
    model="azure/<your-deployment-name>",
    voice="alloy",                    # Required: Voice selection
    input="text to convert",          # Required: Input text
    speed=1.0,                        # Optional: 0.25 to 4.0 (default: 1.0)
    response_format="mp3"             # Optional: mp3, opus, aac, flac, wav, pcm
)

Supported Models​

  • tts-1 - Standard quality, optimized for speed
  • tts-1-hd - High definition, optimized for quality

Use your Azure deployment name: azure/<your-deployment-name>