chatterbox vs Spark-TTS
Open-source text-to-speech and voice cloning compared
chatterbox and Spark-TTS both provide Python-based speech generation with voice cloning from reference audio. chatterbox offers several model variants, including multilingual and resource-constrained options, while Spark-TTS focuses on Chinese and English synthesis with adjustable voice characteristics.
chatterbox: Generate Speech with Resemble AI TTS Models
Chatterbox is Resemble AI’s open-source text-to-speech model family, with multilingual voice cloning and smaller English models for lower-latency or CPU use. It is a Python project suited to developers building speech generation into applications and workflows.
Spark-TTS: Synthesize Speech with Qwen2.5
Spark-TTS is an efficient text-to-speech inference system built entirely on Qwen2.5, with zero-shot voice cloning and controllable speech generation. It supports Chinese and English and provides Linux installation instructions for Python 3.12+.
| chatterbox | Spark-TTS | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 27.1k | 11k |
| Forks | 3.6k | 1.1k |
| Last analyzed | Oct 21, 2026 | Oct 19, 2026 |
Key differences
- chatterbox includes a multilingual model supporting 23 languages, plus English and smaller variants; Spark-TTS supports Chinese and English, including cross-lingual cloning and code-switching.
- chatterbox provides separate model variants, including a 350M-parameter low-latency English model and a 110M-parameter CPU-oriented model; Spark-TTS uses a Qwen2.5-based system and requires a separate 0.5B model.
- chatterbox exposes speaking-style and pacing controls, and some variants support expressive tags; Spark-TTS lets users adjust virtual-speaker gender, pitch, and speaking rate.
- chatterbox examples include CUDA, CPU, and MPS options; Spark-TTS is aimed at GPU inference and documents a Linux installation path.
- chatterbox is licensed under MIT; Spark-TTS is licensed under Apache-2.0.
- chatterbox's generated audio includes a Perth watermark; Spark-TTS highlights consent safeguards for voice cloning and lists its training code and VoxBox dataset as unreleased.
Choose chatterbox if you…
- need speech generation across a wider range of languages or cross-language voice cloning.
- want to evaluate English TTS options for low latency or CPU and resource-constrained deployments.
- need Python examples that include CUDA, CPU, or MPS device options.
Choose Spark-TTS if you…
- need Chinese and English synthesis with cross-lingual cloning or code-switching.
- want to configure virtual-speaker gender, pitch, and speaking rate.
- prefer command-line inference or a Gradio UI, with a reference deployment path using Nvidia Triton and TensorRT-LLM.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.