OpenVoice vs Speaches
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Speaches
OpenAI-compatible speech-to-text and text-to-speech server
| Feature | OpenVoice | Speaches |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 39 · At risk | 83 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 2,048 MB |
| Deployment | bare-metal, source | docker, source |
| GitHub stars | ★ 37,647 | ★ 3,677 |
| First released | 2023 | 2024 |
| Replaces | ElevenLabs | OpenAI Audio API, ElevenLabs |
What are OpenVoice and Speaches?
OpenVoice
OpenVoice is a voice cloning approach that replicates a speaker's voice from a short reference clip and generates speech in multiple languages. It allows control over emotion, accent, and other style parameters.
- Instant voice cloning
- Cross-lingual synthesis
- Style and emotion control
- Short reference clips
Speaches
Speaches is a self-hosted server that provides OpenAI-compatible transcription, translation, and text-to-speech endpoints. It supports streaming and a range of open speech models for private voice applications.
- OpenAI-compatible audio API
- Streaming transcription
- Text-to-speech support
- Multiple open models
OpenVoice vs Speaches: key differences
Both projects are written in Python. Speaches is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for OpenVoice. OpenVoice has the considerably larger community, at 37,647 GitHub stars versus 3,677. Speaches lists first-class Docker deployment; OpenVoice does not.
Why pick each one
Choose OpenVoice if…
- Clones from short clips
- Style and accent control
- Cross-lingual generation
Watch out for
- Python setup required
- Research-grade tooling
Choose Speaches if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Active community (3.7k GitHub stars)
- Written in Python
Frequently asked questions
Is OpenVoice or Speaches better?
Neither is universally better. OpenVoice has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are OpenVoice and Speaches free and open-source?
Yes. OpenVoice is licensed under MIT and Speaches under MIT. Both can be self-hosted at no software cost.
Can I run OpenVoice and Speaches with Docker?
OpenVoice: check the project docs for container support. Speaches: yes.
Which is lighter on resources, OpenVoice or Speaches?
Speaches has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for OpenVoice. Real-world usage depends on library size, user count, and enabled features.