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Overview

SpeechmaticsTTSService provides production-grade, low-latency synthesis optimized for telephony and voice agents. By streaming 16kHz mono audio, it ensures bandwidth efficiency and prioritizes pronunciation accuracy for natural, uninterrupted conversations at scale.

Speechmatics TTS API Reference

Pipecat’s API methods for Speechmatics TTS integration

Example Implementation

Complete example with Speechmatics TTS

Speechmatics Documentation

Official Speechmatics TTS API documentation

Speechmatics Portal

Browse and test available voices

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Installation

To use Speechmatics services, install the required dependencies: 
pip install "pipecat-ai[speechmatics]"

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Prerequisites

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Speechmatics Account Setup

Before using Speechmatics TTS services, you need:
  1. Speechmatics Account: Sign up at Speechmatics Portal
  2. API Key: Generate an API key from your dashboard
  3. Voice Selection: Choose from available voices

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Required Environment Variables

  • SPEECHMATICS_API_KEY: Your Speechmatics API key for authentication

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Basic Usage

The Speechmatics TTS service requires an aiohttp ClientSession to manage high-performance network requests. 
import os
import aiohttp
from pipecat.services.speechmatics.tts import SpeechmaticsTTSService

async def create_tts_service():
    # create a session (usually done within your pipeline setup)
    async with aiohttp.ClientSession() as session:
        tts = SpeechmaticsTTSService(
            api_key=os.getenv("SPEECHMATICS_API_KEY"),
            voice_id="sarah", 
            aiohttp_session=session,
        )
        # ... add tts to your pipeline ...