​
Overview

GroqTTSService converts text to speech using Groq’s TTS API. It supports real-time audio generation with multiple voices.

​
Installation

To use GroqTTSService, install the required dependencies:

pip install "pipecat-ai[groq]"

You’ll also need to set up your Groq API key as an environment variable: GROQ_API_KEY.

You can obtain a Groq Cloud API key by signing up at Groq.

​
Configuration

​
Constructor Parameters

​
api_key
str
required

Your Groq API key

​
output_format
str
default:"wav"

Audio output format

​
params
InputParams
default:"InputParams()"

Configuration parameters for speech generation

​
model_name
str
default:"playai-tts"

TTS model to use. See the Groq Cloud docs for available models.

​
voice_id
str
default:"Celeste-PlayAI"

Voice identifier to use for synthesis

​
Input Parameters

​
language
Language
default:"Language.EN"

Language for speech synthesis

​
speed
float
default:"1.0"

Speech rate multiplier (higher values produce faster speech)

​
seed
Optional[int]
default:"None"

Random seed for reproducible audio generation

​
Input

The service accepts text input through the pipeline, including streaming text from an LLM service.

​
Output Frames

​
TTSStartedFrame

Signals the start of audio generation.

​
TTSAudioRawFrame

Contains generated audio data:

​
audio
bytes

Raw audio data chunk

​
sample_rate
int

Audio sample rate, based on the constructor setting

​
num_channels
int

Number of audio channels (1 for mono)

​
TTSStoppedFrame

Signals the completion of audio generation.

​
Methods

See the TTS base class methods for additional functionality.

​
Language Support

GroqTTSService supports the following languages:

Language CodeDescriptionService Codes
Language.ENEnglishen

​
Usage Example

from pipecat.services.groq.tts import GroqTTSService
from pipecat.transcriptions.language import Language

# Configure service
tts = GroqTTSService(
    api_key="your-api-key",
    model_name="playai-tts",
    voice_id="Celeste-PlayAI",
    params=GroqTTSService.InputParams(
        language=Language.EN,
        speed=1.0,
        seed=42
    )
)

# Use in pipeline
pipeline = Pipeline([
    ...,
    llm,
    tts,
    transport.output(),
])

​
Frame Flow

​
Metrics Support

The service supports metrics collection:

  • Time to First Byte (TTFB)
  • Processing duration

​
Audio Processing

  • Streams audio in chunks
  • Outputs mono audio at the defined sample rate
  • Handles WAV header removal automatically
  • Supports WAV format by default

​
Notes

  • Requires a Groq Cloud API key
  • Streams audio in chunks for efficient processing
  • Automatically handles WAV headers in the response
  • Provides metrics collection
  • Supports configurable speech parameters

​
Overview

GroqTTSService converts text to speech using Groq’s TTS API. It supports real-time audio generation with multiple voices.

​
Installation

To use GroqTTSService, install the required dependencies:

pip install "pipecat-ai[groq]"

You’ll also need to set up your Groq API key as an environment variable: GROQ_API_KEY.

You can obtain a Groq Cloud API key by signing up at Groq.

​
Configuration

​
Constructor Parameters

​
api_key
str
required

Your Groq API key

​
output_format
str
default:"wav"

Audio output format

​
params
InputParams
default:"InputParams()"

Configuration parameters for speech generation

​
model_name
str
default:"playai-tts"

TTS model to use. See the Groq Cloud docs for available models.

​
voice_id
str
default:"Celeste-PlayAI"

Voice identifier to use for synthesis

​
Input Parameters

​
language
Language
default:"Language.EN"

Language for speech synthesis

​
speed
float
default:"1.0"

Speech rate multiplier (higher values produce faster speech)

​
seed
Optional[int]
default:"None"

Random seed for reproducible audio generation

​
Input

The service accepts text input through the pipeline, including streaming text from an LLM service.

​
Output Frames

​
TTSStartedFrame

Signals the start of audio generation.

​
TTSAudioRawFrame

Contains generated audio data:

​
audio
bytes

Raw audio data chunk

​
sample_rate
int

Audio sample rate, based on the constructor setting

​
num_channels
int

Number of audio channels (1 for mono)

​
TTSStoppedFrame

Signals the completion of audio generation.

​
Methods

See the TTS base class methods for additional functionality.

​
Language Support

GroqTTSService supports the following languages:

Language CodeDescriptionService Codes
Language.ENEnglishen

​
Usage Example

from pipecat.services.groq.tts import GroqTTSService
from pipecat.transcriptions.language import Language

# Configure service
tts = GroqTTSService(
    api_key="your-api-key",
    model_name="playai-tts",
    voice_id="Celeste-PlayAI",
    params=GroqTTSService.InputParams(
        language=Language.EN,
        speed=1.0,
        seed=42
    )
)

# Use in pipeline
pipeline = Pipeline([
    ...,
    llm,
    tts,
    transport.output(),
])

​
Frame Flow

​
Metrics Support

The service supports metrics collection:

  • Time to First Byte (TTFB)
  • Processing duration

​
Audio Processing

  • Streams audio in chunks
  • Outputs mono audio at the defined sample rate
  • Handles WAV header removal automatically
  • Supports WAV format by default

​
Notes

  • Requires a Groq Cloud API key
  • Streams audio in chunks for efficient processing
  • Automatically handles WAV headers in the response
  • Provides metrics collection
  • Supports configurable speech parameters