---
title: "ChatTTS vs VieNeu-TTS"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-pnnbao97-vieneu-tts"
tools: ["2noise-chattts", "pnnbao97-vieneu-tts"]
---

# ChatTTS vs VieNeu-TTS

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick ChatTTS if chatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English; pick VieNeu-TTS if vieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing.

[ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [VieNeu-TTS](https://www.vieneu.io) has 2.3k stars, 675 forks, and 8 open issues, last pushed Jul 17, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [VieNeu-TTS's repository](https://github.com/pnnbao97/VieNeu-TTS).

| | [ChatTTS](/tools/2noise-chattts.md) | [VieNeu-TTS](/tools/pnnbao97-vieneu-tts.md) |
| --- | --- | --- |
| Tagline | A generative speech model for daily dialogue | Vietnamese TTS with instant voice cloning, on-device and real-time CPU inference |
| Stars | 39,768 | 2,258 |
| Forks | 4,257 | 675 |
| Open issues | 60 | 8 |
| Language | Python | Python |
| Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | VieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing. |
| Persona | - | - |
| Runtime | - | - |
| License | Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. | Apache-2.0 |
| Categories | AI Agents, Speech & Audio | Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ChatTTS](/tools/2noise-chattts.md) | [VieNeu-TTS](/tools/pnnbao97-vieneu-tts.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 127d | 12d |
| Open issues (now) | 60 | 8 |
| Stars delta | +140 (30d) | Unknown |
| Open issues delta | -1 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/pnnbao97-vieneu-tts/trust.md) |

## Shared compatibility

- **Python**: [ChatTTS](/tools/2noise-chattts.md) - Python runtime; [VieNeu-TTS](/tools/pnnbao97-vieneu-tts.md) - Python runtime

## Decision facts: ChatTTS

- **Hosting:** unknown
- **Requirements:** Python-based implementation means that familiarity with Python is necessary for effective use.
- **Adopt for:** ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English.
- **License detail:** Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works.

## Decision facts: VieNeu-TTS

- **Adopt for:** VieNeu-TTS offers on-device Vietnamese text-to-speech services in real-time with CPU inference, ideal for environments needing local processing.

## Choose when

### Choose ChatTTS if…

- License: ChatTTS is AGPL-3.0, VieNeu-TTS is Apache-2.0.
- Requirements: Python-based implementation means that familiarity with Python is necessary for effective use..
- Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language.
- Also covers AI Agents.
- Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.

### Choose VieNeu-TTS if…

- License: VieNeu-TTS is Apache-2.0, ChatTTS is AGPL-3.0.
- Tags unique to VieNeu-TTS: deep-learning, on-device-ml, real-time, speech-synthesis.
- You require a text-to-speech solution specifically tailored for the Vietnamese language.

## When NOT to use ChatTTS

- Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation.
- Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.

## When NOT to use VieNeu-TTS

- The application demands TTS services in languages other than Vietnamese.
- You seek a solution that performs inference exclusively on GPUs as VieNeu-TTS prioritizes CPU usage even with GPU availability.
- Deployment needs are not compatible with on-device processing, and cloud-based TTS solutions are preferred.

## Common questions

### What is the difference between ChatTTS and VieNeu-TTS?

ChatTTS: A generative speech model for daily dialogue. VieNeu-TTS: Vietnamese TTS with instant voice cloning, on-device and real-time CPU inference. See the comparison table for live GitHub stats and shared categories.

### When should I choose ChatTTS over VieNeu-TTS?

Choose ChatTTS over VieNeu-TTS when License: ChatTTS is AGPL-3.0, VieNeu-TTS is Apache-2.0; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese language; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages.

### When should I choose VieNeu-TTS over ChatTTS?

Choose VieNeu-TTS over ChatTTS when License: VieNeu-TTS is Apache-2.0, ChatTTS is AGPL-3.0; Tags unique to VieNeu-TTS: deep-learning, on-device-ml, real-time, speech-synthesis; You require a text-to-speech solution specifically tailored for the Vietnamese language.

### When should I avoid ChatTTS?

Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English.

### When should I avoid VieNeu-TTS?

The application demands TTS services in languages other than Vietnamese. You seek a solution that performs inference exclusively on GPUs as VieNeu-TTS prioritizes CPU usage even with GPU availability. Deployment needs are not compatible with on-device processing, and cloud-based TTS solutions are preferred.

### Is ChatTTS or VieNeu-TTS more popular on GitHub?

ChatTTS has more GitHub stars (39,768 vs 2,258). Stars measure visibility, not whether either tool fits your constraints.

### Are ChatTTS and VieNeu-TTS open source?

Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, VieNeu-TTS: Apache-2.0).

### Where can I find alternatives to ChatTTS or VieNeu-TTS?

GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [VieNeu-TTS alternatives](/tools/pnnbao97-vieneu-tts/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [VieNeu-TTS markdown twin](/tools/pnnbao97-vieneu-tts/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/2noise-chattts-vs-pnnbao97-vieneu-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ChatTTS or VieNeu-TTS?

ChatTTS: Slowing. VieNeu-TTS: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for ChatTTS and VieNeu-TTS?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [VieNeu-TTS trust report](/tools/pnnbao97-vieneu-tts/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
