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Amphion vs Chatterbox TTS

Amphion

github.com

Chatterbox TTS

github.com

Side by side

FigureAmphionChatterbox TTS
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
Windows—Yes
macOS—Yes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published12
Spec score · Text-to-Speech Software8.7 (#26)9.0 (#9)
Spec score · Text-to-speech tools8.3 (#76)8.9 (#21)
Export formatsWAVWAV
Free planYesYes
InstallationThe README documents installation with a setup installer using Python 3.9.15 and with a Docker image.The project can be installed with pip as chatterbox-tts or from a cloned repository in editable mode.
Intended usersThe project describes itself as supporting reproducible research and helping junior researchers and engineers enter audio, music, and speech generation research and development.The README describes Turbo for low-latency voice agents and Nano for on-device or CPU inference when memory and latency budgets are tight.
LicenseAmphion is released under the MIT License and is stated to be free for research and commercial use.The code and model listing identify the project as MIT licensed, permitting modification and redistribution subject to the license notice.
Voice cloningYesModels can generate speech conditioned on a short reference audio clip.

Plans

Amphion

  • AmphionFree

Amphion pricing →

Chatterbox TTS

  • Chatterbox open-source modelsFree
  • Voice AI Research (Chatterbox)Free

Chatterbox TTS pricing →

In their own words

Amphion

Amphion has no write-up on Specifiction yet; its figures are above.

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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.

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