Local TTS model

Sopro V2 Turbo

Catalogue summary: Apache-licensed 120M voice-cloning TTS model for private, low-latency speech generation. The official Sopro package runs locally on CPU, MPS or CUDA, supports streaming with about 300 ms time-to-first-audio on an M3 CPU, and also exposes an ONNX browser path for English, European Portuguese, French and German.

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

Edge readytext-to-speech generation4 languagesApache 2.0
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Catalogue quality
9.2/10
Catalogue speed
9.4/10
Model size
120M params; 1.25 GB HF repo
Voices
Zero-shot voice cloning from 5-20 seconds of reference audio

Can Sopro V2 Turbo run locally?

Sopro V2 Turbo 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.

cloningstreamingrealtimemultilinguallow-latency

Audio profile

Cat. quality
9.2
Cat. speed
9.4
Audio
9.3

Best fit

Sopro V2 Turbo is best for local voice cloning and expressive speech generation.

Hardware: cpugpuappleedge

Model details

Type
Local TTS model
Family
sopro
Latency
ultra-low
Formats
pytorchsafetensorsonnx
Languages
en, pt, fr, de
Context
120M F32 safetensors, Sopro CLI/Python API, CPU default on macOS with optional MPS, CUDA auto-selection and browser ONNX demo

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors, 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
  • 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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