Generate high-quality English speech offline on CPU using 8 built-in voices or custom voice cloning with Kyutai's Pocket TTS model.
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Fully local, offline text-to-speech using Kyutai's Pocket TTS model. Generate high-quality audio from text without any API calls or internet connection. Features 8 built-in voices, voice cloning support, and runs entirely on CPU.
# 1. Accept the model license on Hugging Face # https://huggingface.co/kyutai/pocket-tts2. Install the package
pip install pocket-tts
Or use uv for automatic dependency management
uvx pocket-tts generate "Hello world"
# Basic usage pocket-tts "Hello, I am your AI assistant"With specific voice
pocket-tts "Hello" --voice alba --output hello.wav
With custom voice file (voice cloning)
pocket-tts "Hello" --voice-file myvoice.wav --output output.wav
Adjust speed
pocket-tts "Hello" --speed 1.2
Start local server
pocket-tts --serve
List available voices
pocket-tts --list-voices
from pocket_tts import TTSModel import scipy.io.wavfileLoad model
tts_model = TTSModel.load_model()
Get voice state
voice_state = tts_model.get_state_for_audio_prompt( "hf://kyutai/tts-voices/alba-mackenna/casual.wav" )
Generate audio
audio = tts_model.generate_audio(voice_state, "Hello world!")
Save to WAV
scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
Check sample rate
print(f"Sample rate: {tts_model.sample_rate} Hz")
| Voice | Description |
|---|---|
| alba | Casual female voice |
| marius | Male voice |
| javert | Clear male voice |
| jean | Natural male voice |
| fantine | Female voice |
| cosette | Female voice |
| eponine | Female voice |
| azelma | Female voice |
Or use
--voice-file /path/to/wav.wav| Option | Description | Default |
|---|---|---|
| Text to convert | Required |
| Output WAV file | |
| Voice preset | |
| Speech speed (0.5-2.0) | |
| Custom WAV for cloning | None |
| Start HTTP server | False |
| List all voices | False |
No automatic installation available. Please visit the source repository for installation instructions.
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