VoxCPM vs Spark-TTS
Open-source speech synthesis and voice cloning compared
VoxCPM and Spark-TTS are open-source Python projects for generating speech from text and cloning voices. VoxCPM focuses on multilingual generation, voice design, and fine-tuning, while Spark-TTS focuses on Chinese and English synthesis with a Qwen2.5-based inference pipeline.
VoxCPM: Generate and Clone Multilingual Speech
VoxCPM is a tokenizer-free text-to-speech system for multilingual speech generation, voice design, and voice cloning. Its VoxCPM2 release targets teams and developers who need expressive speech synthesis and can support a 2B-parameter model.
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+.
| VoxCPM | Spark-TTS | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 38.3k | 11k |
| Forks | 4.3k | 1.1k |
| Last analyzed | Oct 3, 2026 | Oct 19, 2026 |
Key differences
- VoxCPM supports 30 languages without language tags; Spark-TTS synthesizes speech in Chinese and English and also supports cross-lingual cloning and code-switching.
- VoxCPM can create voices from natural-language descriptions without reference audio; Spark-TTS offers virtual speakers with adjustable gender, pitch, and speaking rate.
- VoxCPM uses a tokenizer-free diffusion autoregressive approach; Spark-TTS predicts speech tokens with a Qwen2.5-based model and reconstructs audio without a separate generation model.
- VoxCPM documents streaming generation and SFT or LoRA fine-tuning; Spark-TTS provides inference code, with training code and the VoxBox dataset listed as not yet released.
- VoxCPM offers Python and CLI workflows, serving integrations, and on-device inference options; Spark-TTS offers command-line inference, a Gradio UI, and a reference Nvidia Triton and TensorRT-LLM deployment path.
- Both projects use the Apache-2.0 license. VoxCPM lists 38.3k stars and 4.3k forks, while Spark-TTS lists 11k stars and 1.1k forks.
Choose VoxCPM if you…
- need multilingual speech generation across its 30 supported languages.
- want natural-language voice design, audio continuation, or optional style control for cloning.
- need streaming or SFT and LoRA fine-tuning options and can support the documented model requirements.
Choose Spark-TTS if you…
- need Chinese and English synthesis with cross-lingual cloning or code-switching.
- want to create virtual speakers by adjusting gender, pitch, and speaking rate.
- prefer an inference-focused project with a Gradio UI or a reference Triton and TensorRT-LLM deployment path.
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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.