Local TTS model

Pocket TTS

Catalogue summary: Kyutai's CC-BY-4.0 lightweight local TTS model built for fast CPU speech generation without a cloud API. The official Hugging Face release ships downloadable safetensors weights, a Pocket-TTS Python package and CLI, audio streaming, voice prompts and a local HTTP server path; the model card lists 100M parameters, English support, roughly 200 ms first audio chunk latency and about 6x real-time CPU generation on a MacBook Air M4.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Edge readytext-to-speech generation1 languagesCC-BY-4.0
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Catalogue quality
8.8/10
Catalogue speed
9.6/10
Model size
100M params; ~0.24 GB safetensors
Voices
Bundled Kyutai voices plus local voice-prompt cloning from user-provided WAV/MP3 samples

Can Pocket TTS run locally?

Pocket TTS can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

CC-BY-4.0 license. Review upstream restrictions before commercial use.

cloningstreamingrealtimelow-latency

Audio profile

Cat. quality
8.8
Cat. speed
9.6
Audio
9.1

Best fit

Pocket TTS is best for local voice cloning and expressive speech generation.

Hardware: cpuappleedge

Model details

Type
Local TTS model
Family
kyutai
Latency
ultra-low
Formats
pytorchsafetensors
Languages
en
Context
Official Pocket-TTS package and CLI, CPU PyTorch path, local serve command, audio streaming, no GPU requirement, and client-side/community ONNX, Candle, MLX and desktop app implementations noted by Kyutai

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • Edge ready local workflows
  • cloning, streaming, realtime

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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