---
title: "MeloTTS vs chatterbox-tts-api"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/myshell-ai-melotts-vs-travisvn-chatterbox-tts-api"
tools: ["myshell-ai-melotts", "travisvn-chatterbox-tts-api"]
---

# MeloTTS vs chatterbox-tts-api

*GraphCanon updated Aug 13, 2026*

## Verdict

Pick MeloTTS if meloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.

[MeloTTS](https://github.com/myshell-ai/MeloTTS) reports 7.6k GitHub stars, 1.1k forks, and 232 open issues, last pushed Dec 24, 2024. [chatterbox-tts-api](https://chatterboxtts.com) has 666 stars, 152 forks, and 16 open issues, last pushed Dec 23, 2025. Figures are from public GitHub metadata via [MeloTTS's repository](https://github.com/myshell-ai/MeloTTS) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api).

| | [MeloTTS](/tools/myshell-ai-melotts.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) |
| --- | --- | --- |
| Tagline | High-quality multi-lingual text-to-speech library by MyShell.ai | Local OpenAI-compatible text-to-speech API using Chatterbox |
| Stars | 7,551 | 666 |
| Forks | 1,059 | 152 |
| Open issues | 232 | 16 |
| Language | Python | Python |
| Adopt for | MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. | Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

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

| | [MeloTTS](/tools/myshell-ai-melotts.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 581d | 232d |
| Open issues (now) | 232 | 16 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/myshell-ai-melotts/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) |

## Decision facts: MeloTTS

- **Adopt for:** MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean.

## Decision facts: chatterbox-tts-api

- **Requirements:** Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.
- **Adopt for:** Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
- **License detail:** Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly.

## Choose when

### Choose MeloTTS if…

- License: MeloTTS is MIT, chatterbox-tts-api is AGPL-3.0.
- Tags unique to MeloTTS: chinese, english, french, japanese.
- MeloTTS ships Docker support for self-hosted deployment.
- If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.

### Choose chatterbox-tts-api if…

- License: chatterbox-tts-api is AGPL-3.0, MeloTTS is MIT.
- Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
- Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda.
- When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.

## When NOT to use MeloTTS

- If your application's required languages are not covered by MeloTTS, such as Arabic or Russian.
- In situations where you need more customization options for TTS than what the library provides out-of-the-box.

## When NOT to use chatterbox-tts-api

- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries.
- For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.

## Common questions

### What is the difference between MeloTTS and chatterbox-tts-api?

MeloTTS: High-quality multi-lingual text-to-speech library by MyShell.ai. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories.

### When should I choose MeloTTS over chatterbox-tts-api?

Choose MeloTTS over chatterbox-tts-api when License: MeloTTS is MIT, chatterbox-tts-api is AGPL-3.0; Tags unique to MeloTTS: chinese, english, french, japanese; MeloTTS ships Docker support for self-hosted deployment; If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution.

### When should I choose chatterbox-tts-api over MeloTTS?

Choose chatterbox-tts-api over MeloTTS when License: chatterbox-tts-api is AGPL-3.0, MeloTTS is MIT; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.

### When should I avoid MeloTTS?

If your application's required languages are not covered by MeloTTS, such as Arabic or Russian. In situations where you need more customization options for TTS than what the library provides out-of-the-box.

### When should I avoid chatterbox-tts-api?

If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.

### Is MeloTTS or chatterbox-tts-api more popular on GitHub?

MeloTTS has more GitHub stars (7,551 vs 666). Stars measure visibility, not whether either tool fits your constraints.

### Are MeloTTS and chatterbox-tts-api open source?

Yes - both are open-source projects on GitHub (MeloTTS: MIT, chatterbox-tts-api: AGPL-3.0).

### Where can I find alternatives to MeloTTS or chatterbox-tts-api?

GraphCanon lists graph-backed alternatives at [MeloTTS alternatives](/tools/myshell-ai-melotts/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([MeloTTS markdown twin](/tools/myshell-ai-melotts/alternatives.md), [chatterbox-tts-api markdown twin](/tools/travisvn-chatterbox-tts-api/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/myshell-ai-melotts-vs-travisvn-chatterbox-tts-api.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, MeloTTS or chatterbox-tts-api?

MeloTTS: Dormant. chatterbox-tts-api: Slowing. 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 MeloTTS and chatterbox-tts-api?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MeloTTS trust report](/tools/myshell-ai-melotts/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=myshell-ai-melotts`](/api/graphcanon/graph?tool=myshell-ai-melotts)
- 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/_
