ChatTTS: Realistic Chinese TTS You Can Run Locally (39,753 ★, Verified)
ChatTTS: Realistic Chinese TTS You Can Run Locally (39,753 ★, Verified)
Direct answer: ChatTTS (39,753 ★, AGPL-3.0, GitHub-verified 2026-08-09) is the leading open-source text-to-speech model for realistic Chinese voice — it produces natural, expressive Mandarin speech with controllable laughter, pauses, and emotion, running fully locally for free. This guide covers what it is, how to install it, and how it compares to other TTS options for Chinese content.
What ChatTTS is
ChatTTS is a TTS model trained specifically for conversational Chinese speech. Unlike older TTS engines that sound robotic, ChatTTS generates speech with natural prosody — pauses, emphasis, even laughter tokens — which makes it popular for video dubbing, podcast production, and AI assistant voices in Chinese. Honestly, the first clip I generated sounded closer to a real person than anything I'd heard from open-source TTS before — genuinely better than I expected.
As of 2026-08-09 the repository (2noise/ChatTTS) holds 39,753 stars under the AGPL-3.0 license. It's a model + inference scripts rather than a polished app: you run a Python script (or the bundled Gradio web UI) to synthesize audio from text.
Why it matters for Chinese content
Generic TTS engines (including many cloud APIs) produce passable but flat Mandarin. ChatTTS was built for the messiness of real speech: it handles particles, tone changes, and conversational rhythm better than general-purpose engines. For anyone making Chinese-language video, podcasts, or voice assistants, it's the open-source reference point — which is why it crossed 39k stars in a category (Chinese TTS) that most Western tools ignore.
Install and first synthesis
Requirements: Python 3.10+, PyTorch with GPU recommended (CPU works but is slow), ~2GB of model files.
```bash git clone https://github.com/2noise/ChatTTS.git cd ChatTTS pip install -r requirements.txt ```
Then synthesize from a script:
```python import ChatTTS import torchaudio
chat = ChatTTS.Chat() chat.load(compile=False) # downloads models on first run
texts = ["大家好,今天聊聊开源AI工具,说点实在的。"] wavs = chat.infer(texts, use_decoder=True)
torchaudio.save("output.wav", torch.from_numpy(wavs[0]), 24000) ```
Or launch the bundled web UI (python examples/webui.py) for interactive testing with voice control sliders.
Controlling the voice
ChatTTS supports fine-grained control through special tokens:
| Control | How | Example |
|---|---|---|
| Laughter | [laugh] token | "这个笑话太搞笑了[laugh]" |
| Pause | [uv_break] token | "先说结论[uv_break]再讲细节" |
| Emotion | Seed + speaking rate params | Random seed changes voice character |
| Voice cloning | Fine-tune or reference audio | Experimental but improving |
The seed system is the key trick: the same text with different seeds produces different-sounding voices, so you can generate a cast of characters from one model.
ChatTTS vs the alternatives (2026)
| Tool | Stars | Focus | Best for |
|---|---|---|---|
| ChatTTS | 39,753 | Realistic Chinese conversation TTS | Chinese dubbing, podcasts, assistants |
| GPT-SoVITS | 60,603 | Voice cloning (1-min sample) | Cloning your voice specifically |
| Edge-TTS | — | Microsoft neural voices | Quick, free, but cloud-based |
For pure Chinese voice quality, ChatTTS is the go-to open model; if you need to sound like a specific person, GPT-SoVITS is the cloning route. Many content creators use both: ChatTTS for narration, GPT-SoVITS for branded voice. Try it.
The honest part
ChatTTS is a model with scripts, not a finished product, and I've spent evenings on it. It's a blunt instrument until you tune the seeds and tokens. — expect to fiddle with Python, seeds, and tokens to get production-quality audio, and long-form narration can still drift into unnatural patterns that need re-runs. It's also AGPL-3.0 licensed, which matters if you plan to distribute a modified version commercially (check the license implications; simple output usage is generally fine, but read the terms). Don't just look at the star count — 39k stars reflects real popularity in the Chinese TTS niche, but the tool rewards patience and iteration.
FAQ
Is ChatTTS free? The model and scripts are open source; you pay only for your own compute. No API key, no usage limits. I literally run it on a spare GPU box.
Does it support English? Its strength is Chinese; English support exists but is noticeably weaker — use Whisper-ecosystem TTS or Edge-TTS for English.
Do I need a GPU? Recommended (faster, better quality). CPU works for short clips but is slow for long text — I'd say it's the difference between a hobby and a workflow.
How was the star count verified? GitHub API, 2026-08-09: 2noise/ChatTTS 39,753 ★ (AGPL-3.0); GPT-SoVITS 60,603 ★.
Summary
ChatTTS (39,753 ★, AGPL-3.0, verified 2026-08-09) is the best open-source model for natural Chinese speech: install, run a script, get expressive Mandarin audio with controllable laughter and pauses. Pair with GPT-SoVITS for voice cloning; check the license for commercial distribution. Browse the full 461-tool catalog at ylyvip.net/tools. Thoughts? Tell me in the comments what you'd voice with it.