Speechmatics TTS API Client

Async Python client for Speechmatics TTS API.

Features

• Async API client with comprehensive error handling
• Type hints throughout for better IDE support
• Environment variable support for credentials

Installation

pip install speechmatics-tts

Usage

Quick Start

import asyncio

from speechmatics.tts import AsyncClient, Voice, OutputFormat

# Generate speech data from text and save to WAV file
async def main():
    async with AsyncClient() as client:
        async with await client.generate(
            text="Welcome to the future of voice AI!",
            voice=Voice.SARAH,
            output_format=OutputFormat.WAV_16000
        ) as response:
            audio = b''.join([chunk async for chunk in response.content.iter_chunked(1024)])
            with open("output.wav", "wb") as f:
                f.write(audio)


# Run the async main function
if __name__ == "__main__":
    asyncio.run(main())

Error Handling

import asyncio
from speechmatics.tts import (
    AsyncClient,
    AuthenticationError,
    TimeoutError
)

async def main():
    try:
        async with AsyncClient() as client:
            response = await client.generate(text="Hello, this is the Speechmatics TTS API. We are excited to have you here!")

    except AuthenticationError:
        print("Invalid API key")
    except JobError as e:
        print(f"Job processing failed: {e}")
    except TimeoutError as e:
        print(f"Job timed out: {e}")
    except FileNotFoundError:
        print("Audio file not found")

asyncio.run(main())

Connection Configuration

import asyncio
from speechmatics.tts import AsyncClient, ConnectionConfig

async def main():
    # Custom connection settings
    config = ConnectionConfig(
        url="https://preview.tts.speechmatics.com",
        api_key="your-api-key",
        connect_timeout=30.0,
        operation_timeout=600.0
    )

    async with AsyncClient(conn_config=config) as client:
        response = await client.generate(text="Hello World")
   

asyncio.run(main())

Logging

The client supports logging with job id tracing for debugging. To increase logging verbosity, set DEBUG level in your example code:

import logging
import sys

logging.basicConfig(
    level=logging.DEBUG,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    handlers=[
        logging.StreamHandler(sys.stdout)
    ]
)

Environment Variables

The client supports the following environment variables:

• SPEECHMATICS_API_KEY: Your Speechmatics API key
• SPEECHMATICS_TTS_URL: Custom API endpoint URL (optional)