LocalClaw/TTS/MeloTTS
Local TTS model

MeloTTS

Catalogue summary: High-quality multilingual TTS with extremely natural voice cloning. Best for Chinese and English with fast inference.

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

Apple Silicon readytext-to-speech generation9 languagesMIT
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
9/10
Model size
1.5 GB
Voices
Built-in + custom cloning

Can MeloTTS run locally?

MeloTTS 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.

MIT license. Still verify upstream usage notes before shipping.

Upstream source
cloningrealtimemultilingual

Audio profile

Cat. quality
9
Cat. speed
9
Audio
9.0

Best fit

MeloTTS is best for local voice cloning and expressive speech generation.

Hardware: cpugpuapple

Model details

Type
Local TTS model
Family
melo
Latency
low
Formats
pytorchonnx
Languages
en, zh, fr, de, es, it, pt, ja, ko
Context
Speed, pitch control

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
  • cloning, realtime, multilingual

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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