Chatterbox TTS vs Gnuspeech
Chatterbox TTS
github.comGnuspeech
gnu.orgSide by side
| Figure | Chatterbox TTS | Gnuspeech |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Text-to-Speech Software | 9.0 (#9) | 8.0 (#110) |
| Spec score · Text-to-speech tools | 8.9 (#21) | 7.7 (#152) |
| Commercial use | Yes | Yes |
| Founded | 2019 | 1990 |
| Free plan | Yes | Yes |
| License | The code and model listing identify the project as MIT licensed, permitting modification and redistribution subject to the license notice. | The page lists the license as GNU GPLv3-or-later. |
| Platforms | linux,macos,self_hosted | macos,linux |
| Support | The README invites users to join the project’s Discord community. | The page links to source code repositories and manuals; it does not state a support service. |
Plans
Chatterbox TTS
- Chatterbox open-source modelsFree
- Voice AI Research (Chatterbox)Free
In their own words
Chatterbox TTS
Chatterbox TTS is a family of open-source text-to-speech models from Resemble AI. Its listed choices include Turbo, Nano, Multilingual V3, and dedicated single-language models. Turbo supports tags that can prompt reactions such as sighs, gasps, coughs, and laughter; Nano is intended for on-device or CPU use when memory and latency budgets are tight. The README lists 23 languages for Multilingual. The project supports voice cloning, audio input, batch processing, voice isolation, and WAV export. Generated audio carries Resemble AI’s PerTh watermark. The repository is MIT licensed, and its listed plan costs nothing for research and development. Resemble says it has stopped offering voice generation as a commercial product, while its models remain open and free for research and development. The README provides pip and source installation instructions and describes Python 3.11 on Debian 11, with CUDA, CPU, and MPS device options. Listed platforms are Linux, macOS, and self-hosted.