Local TTS model

MaskGCT

Catalogue summary: Fully non-autoregressive TTS - no text-phone alignment needed. Achieves human parity on naturalness and similarity metrics. Incredibly fast inference.

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

Apple Silicon readytext-to-speech generation2 languagesMIT
Choose an app

Start with Recommended. No terminal commands are shown.

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

Catalogue quality
9.4/10
Catalogue speed
9/10
Model size
2.8 GB
Voices
Reference-based cloning

Can MaskGCT run locally?

MaskGCT 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.

cloningrealtimestreaming

Audio profile

Cat. quality
9.4
Cat. speed
9
Audio
9.3

Best fit

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

Hardware: gpuapple

Model details

Type
Local TTS model
Family
maskgct
Latency
ultra-low
Formats
pytorchsafetensors
Languages
en, zh
Context
Non-autoregressive, human parity

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
  • Apple Silicon ready local workflows
  • cloning, realtime, streaming

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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