Local TTS model
OpenVoice V2
Cross-lingual voice cloning - clone a voice in one language and speak any other. Granular style control (emotion, accent, rhythm, pauses). Very fast inference, GPU-optional.
CPU friendly
text-to-speech generation
6 languages
MIT
Quality
8.9/10
Speed
9/10
Model size
0.6 GB
Voices
Cross-lingual zero-shot cloning
Can OpenVoice V2 run locally?
OpenVoice V2 can generate speech locally for private voice workflows. Start with pip install openvoice.
MIT license. Still verify upstream usage notes before shipping.
pip install openvoice
Upstream source
cloningmultilingualcontrollablerealtime
Audio profile
Best fit
OpenVoice V2 is best for local voice cloning and expressive speech generation.
Hardware: cpugpuapple
Model details
Type
Local TTS model
Family
openvoice
Latency
ultra-low
Formats
pytorchonnx
Languages
en, es, fr, zh, ja, ko
Context
Style: emotion, accent, rhythm, pauses
Install locally
01
Check runtimeConfirm the backend supports pytorch, onnx on your machine.02
Install modelUse the upstream command or repository instructions.03
Test locallyRun a short private audio prompt before moving into production workflows.pip install openvoice
Good for
- text-to-speech generation
- CPU friendly local workflows
- cloning, multilingual, controllable
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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