Chatterbox TTS vs DupDub
Chatterbox TTS
github.comDupDub
dupdub.comSide by side
| Figure | Chatterbox TTS | DupDub |
|---|---|---|
| Price from | Free | $11/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 5 |
| Spec score · AI voice cloning tools | 9.0 (#4) | 8.1 (#23) |
| Free plan | Yes | No |
| Intended users | The README describes Turbo for low-latency voice agents and Nano for on-device or CPU inference when memory and latency budgets are tight. | The company says Mobvoi provides B2B and B2C AI products and services, and presents DupDub for uses including marketing, education, podcasts, and audiobooks. |
| Product | Chatterbox is a family of open-source text-to-speech models by Resemble AI. | DupDub describes itself as an all-in-one content creation platform with AI writing, text-to-speech, avatars, and video editing. |
Plans
Chatterbox TTS
- Chatterbox open-source modelsFree
- Voice AI Research (Chatterbox)Free
DupDub
- Free trialFree
- Personal$11 a month
- Professional$30 a month
- Pay-as-you-go$68, paid once
- Ultimate$110 a month
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.