Typecast Text-to-Speech

Community-maintained integration. This service is built and maintained by neosapience. Pipecat does not test or officially support it. Please report issues and request changes on the source repository. Learn more about community integrations.

Overview

TypecastTTSService converts text into expressive, lifelike speech using Typecast’s neural voices. It supports emotion control and audio customization, and integrates Typecast’s streaming text-to-speech into a Pipecat pipeline.

Source Repository

Source code, examples, and issues for the Typecast integration

PyPI Package

The pipecat-ai-typecast package on PyPI

Typecast Website

Learn more about Typecast’s text-to-speech voices

API Keys

Create and manage your Typecast API keys

Installation

This is a community-maintained package distributed separately from pipecat-ai:

uv add pipecat-ai-typecast

Prerequisites

Typecast Account Setup

Before using the Typecast TTS service, you need:

Typecast Account: Sign up at Typecast
API Key: Create a key from the Typecast API key page

Required Environment Variables

TYPECAST_API_KEY: Your Typecast API key for authentication (required)
TYPECAST_VOICE_ID: Voice ID override (optional; defaults to the service’s built-in voice)

Configuration

aiohttp.ClientSession

required

Active aiohttp client session used for Typecast API requests.

str

default:"None"

Typecast API key. Falls back to the TYPECAST_API_KEY environment variable if not provided.

str

default:"None"

Voice ID to use. Falls back to the TYPECAST_VOICE_ID environment variable, or the service’s built-in default voice.

str

default:"ssfm-v30"

Typecast model version. Use ssfm-v30 (default) or the legacy ssfm-v21.

str

default:"https://api.typecast.ai/v1/text-to-speech"

Typecast API endpoint URL.

int

default:"44100"

Audio sample rate in Hz.

TypecastInputParams

default:"None"

Advanced configuration parameters for language, seed, emotion, and audio output. See Input Parameters below.

Input Parameters

Advanced settings passed via the params constructor argument using TypecastInputParams(...).

Parameter	Type	Default	Description
`language`	`Language`	`Language.EN`	Target language, mapped to a Typecast ISO-639-3 code.
`seed`	`int`	`None`	Seed for deterministic synthesis of identical text.
`prompt_options`	`TypecastPromptOptions`	`PresetPromptOptions()`	Emotion control. See prompt option models below.
`output_options`	`OutputOptions`	`OutputOptions()`	Audio output configuration. See output options below.

prompt_options accepts one of:

PresetPromptOptions (ssfm-v30): emotion_preset (e.g. normal, happy, sad, angry, whisper, toneup, tonedown) and emotion_intensity (0.0–2.0).
SmartPromptOptions (ssfm-v30): previous_text and next_text (max 2000 chars each) for context-aware emotion inference.
PromptOptions (legacy ssfm-v21): emotion_preset and emotion_intensity.

OutputOptions fields:

Parameter	Type	Default	Description
`volume`	`int`	`None`	Volume percent (0–200). Mutually exclusive with `target_lufs`.
`audio_pitch`	`int`	`0`	Pitch adjustment in semitones (-12 to 12).
`audio_tempo`	`float`	`1.0`	Playback speed (0.5–2.0).
`audio_format`	`str`	`"wav"`	Output format. Only `wav` is supported.
`target_lufs`	`float`	`None`	Absolute loudness target in LUFS (-70.0–0.0). Excludes `volume`.

Available parameters and defaults are defined by the integration and the selected Typecast model. See the source repository for the authoritative, up-to-date list.

Usage

import os
import aiohttp
from pipecat_typecast.tts import (
    TypecastTTSService,
    TypecastInputParams,
    PresetPromptOptions,
    OutputOptions,
)

async with aiohttp.ClientSession() as session:
    tts = TypecastTTSService(
        aiohttp_session=session,
        api_key=os.getenv("TYPECAST_API_KEY"),
        voice_id=os.getenv("TYPECAST_VOICE_ID"),
        model="ssfm-v30",
        params=TypecastInputParams(
            prompt_options=PresetPromptOptions(
                emotion_preset="happy",
                emotion_intensity=1.3,
            ),
            output_options=OutputOptions(
                audio_pitch=2,
                audio_tempo=1.05,
            ),
        ),
    )

    # Add tts to your pipeline (after the LLM, before transport.output()).

See example.py in the source repository for a complete working bot.

Compatibility

Tested with Pipecat v0.0.94+. Check the source repository for the latest tested version and changelog.

Get Started

Standards

Pipecat Server

Client SDKs

Pipecat Flows

Pipecat Cloud

CLI

Pipecat Context Hub

Typecast Text-to-Speech

Overview

Source Repository

PyPI Package

Typecast Website

API Keys

Installation

Prerequisites

Typecast Account Setup

Required Environment Variables

Configuration

Input Parameters

Usage

Compatibility

​Overview

Source Repository

PyPI Package

Typecast Website

API Keys

​Installation

​Prerequisites

​Typecast Account Setup

​Required Environment Variables

​Configuration

​Input Parameters

​Usage

​Compatibility

Overview

Installation

Prerequisites

Typecast Account Setup

Required Environment Variables

Configuration

Input Parameters

Usage

Compatibility