LocalClaw/TTS/Fish Speech
Local TTS model

Fish Speech

Catalogue summary: Fast, high-quality TTS with voice cloning and multilingual support. Optimized for real-time applications.

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

Apple Silicon readytext-to-speech generation10 languagesApache 2.0
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models
Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality
9/10
Catalogue speed
8.5/10
Model size
3 GB
Voices
Unlimited cloning

Can Fish Speech run locally?

Fish Speech 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.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source
streamingrealtimecloningmultilingual

Audio profile

Cat. quality
9
Cat. speed
8.5
Audio
8.8

Best fit

Fish Speech is best for local voice cloning and expressive speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
fish
Latency
ultra-low
Formats
pytorchonnx
Languages
en, zh, ja, ko, fr, de, es, it, pt, ru
Context
Instant cloning

Install locally

01
Check runtimeConfirm the backend supports pytorch, onnx 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
  • Apple Silicon ready local workflows
  • streaming, realtime, cloning

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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