ChatTTS logo
ChatTTS
★ 40.0k
vs
py-xiaozhi logo
py-xiaozhi
★ 3.5k

ChatTTS vs py-xiaozhi

ChatTTS: ChatTTS is a generative speech model specifically designed for daily dialogue scenarios, such as LLM assistants. It offers natural and expressive speech with fine-grained control over prosodic features like laughter, pauses, and interjections.; py-xiaozhi: py-xiaozhi is a Python-based client for the Xiaozhi AI voice assistant, designed for learning through code and experiencing AI voice features without dedicated hardware. It integrates core AI capabilities like voice interaction, visual multi-modality, and smart wake-up, alongside a rich MCP tool ecosystem and IoT device integration.

01

TL;DR

ChatTTS logo
ChatTTSVoice / Speech · ★ 40.0k
When to choose:
  • You need natural-sounding, conversational conversational text-to-speech synthesis with spontaneous pauses, sighs, and laughter.
  • You want a self-hosted, open-weights TTS model optimized for conversational agents, podcasts, and dialog assistants in Python.
When to skip:
  • You require commercial audio production with permissive licensing; the model weights are restricted under CC BY-NC 4.0 for non-commercial use.
  • You need ultra-low-latency real-time voice-to-voice streaming with sub-200ms TTFT on minimal hardware.
py-xiaozhi logo
py-xiaozhiVoice / Speech · ★ 3.5k
When to choose:
  • You want to try the Xiaozhi voice assistant on a computer without ESP32 hardware.
  • You want offline wake words with Sherpa-ONNX, echo cancellation and a GUI or command-line mode.
  • You want ready MCP tools such as schedules, timers, music, train tickets, web search and maps.
When to skip:
  • You want a self-contained assistant: AI features depend on the Xiaozhi service.
  • You cannot use Python 3.9 to 3.12, working audio devices and an internet connection.
  • You want to self-host the backend: that is the server projects' job.
02

Side-by-Side Comparison

Field
ChatTTS logoChatTTS
py-xiaozhi logopy-xiaozhi
Category
Voice / Speech
Voice / Speech
Stars
★ 40.0k
★ 3.5k
License
AGPL-3.0 (code), CC BY-NC 4.0 (model)
MIT
Install Command
pip install ChatTTS
pip install -r requirements.txt
Updated
6mo ago
1mo ago
Open Source
Yes
Yes
Tags
Text-to-Speech, Generative AI, Dialogue System
AI Voice Assistant, Python, Multi-modal AI
03

Features

ChatTTS logoChatTTS
01Conversational TTS optimized for dialogue-based tasks
02Fine-grained control over prosodic features (laughter, pauses, interjections)
03Superior prosody compared to most open-source TTS models
04Supports multiple speakers for interactive conversations
05Multilingual support for English and Chinese
py-xiaozhi logopy-xiaozhi
01AI Voice Interaction
02Visual Multi-modality
03Smart Wake-up
04MCP Tool Ecosystem
05IoT Device Integration
04

Use Cases

ChatTTS logoChatTTS
↳Providing voice output for LLM assistants in dialogue scenarios
↳Facilitating natural and interactive conversations with multiple speakers
↳Academic research and educational purposes in speech synthesis
py-xiaozhi logopy-xiaozhi
↳Learning Python AI voice client development
↳Experiencing Xiaozhi AI voice features on PC
↳Remote or automated smart device control
05

Best For

ChatTTS logoChatTTS
Most Popular
py-xiaozhi logopy-xiaozhi
—
FAQ

FAQ

What is the difference between ChatTTS and py-xiaozhi?
Both ChatTTS and py-xiaozhi are in the Voice / Speech category. ChatTTS has 40.0k stars, while py-xiaozhi has 3.5k stars.
Which is better, ChatTTS or py-xiaozhi?
The best choice depends on your use case. Choose ChatTTS if Providing voice output for LLM assistants in dialogue scenarios, and py-xiaozhi if Learning Python AI voice client development.
Is ChatTTS free or open source?
Yes, ChatTTS is open source on GitHub (AGPL-3.0 (code), CC BY-NC 4.0 (model)).
Is py-xiaozhi free or open source?
Yes, py-xiaozhi is open source on GitHub (MIT).
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