ChatTTS vs Spark-TTS
Dialogue speech generation compared
ChatTTS and Spark-TTS both generate Chinese and English speech from text and provide inference tools for developers and researchers. ChatTTS focuses on expressive dialogue delivery, while Spark-TTS adds reference-audio voice cloning and configurable virtual speakers.
ChatTTS: Generate Expressive Speech for Dialogue
ChatTTS is a generative text-to-speech model built for dialogue, including assistant-style speech. It supports Chinese and English, multiple speakers, and controls for prosody such as pauses and laughter.
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+.
| ChatTTS | Spark-TTS | |
|---|---|---|
| Language | Python | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Stars | 39.9k | 11k |
| Forks | 4.3k | 1.1k |
| Last analyzed | Oct 3, 2026 | Oct 19, 2026 |
Key differences
- ChatTTS targets conversational speech with delivery controls such as pauses and laughter; Spark-TTS emphasizes voice cloning and adjustable speaker characteristics.
- ChatTTS offers multiple speaker options and streaming generation; Spark-TTS supports cloning from reference audio, including cross-lingual cloning and code-switching.
- ChatTTS uses AGPL-3.0 code and a separately licensed CC BY-NC 4.0 model; Spark-TTS uses Apache-2.0.
- ChatTTS provides command-line, web UI, and Python inference examples; Spark-TTS provides command-line inference, a Gradio UI, and a reference Nvidia Triton and TensorRT-LLM deployment path.
- ChatTTS reports experimental English support and variable output stability; Spark-TTS documents Linux installation and GPU-oriented inference requirements.
Choose ChatTTS if you…
- need dialogue-focused speech with pauses, laughter, or interjections
- want to explore multi-speaker conversational audio or streaming generation
- are researching speech synthesis and can work with its model and hardware constraints
Choose Spark-TTS if you…
- need zero-shot voice cloning from a reference recording
- want to configure virtual speaker gender, pitch, or speaking rate
- are building bilingual speech or cross-lingual cloning prototypes with suitable GPU infrastructure
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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.