--- title: "Chatterbox-TTS-Server vs MeloTTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devnen-chatterbox-tts-server-vs-myshell-ai-melotts" tools: ["devnen-chatterbox-tts-server", "myshell-ai-melotts"] --- # Chatterbox-TTS-Server vs MeloTTS *GraphCanon updated Jul 30, 2026* ## Verdict Pick Chatterbox-TTS-Server if chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU; 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. [Chatterbox-TTS-Server](https://colab.research.google.com/github/devnen/Chatterbox-TTS-Server/blob/main/Chatterbox_TTS_Colab_Demo.ipynb) reports 1.4k GitHub stars, 333 forks, and 45 open issues, last pushed May 26, 2026. [MeloTTS](https://github.com/myshell-ai/MeloTTS) has 7.6k stars, 1.1k forks, and 232 open issues, last pushed Dec 24, 2024. Figures are from public GitHub metadata via [Chatterbox-TTS-Server's repository](https://github.com/devnen/Chatterbox-TTS-Server) and [MeloTTS's repository](https://github.com/myshell-ai/MeloTTS). | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [MeloTTS](/tools/myshell-ai-melotts.md) | | --- | --- | --- | | Tagline | Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints | High-quality multi-lingual text-to-speech library by MyShell.ai | | Stars | 1,379 | 7,551 | | Forks | 333 | 1,059 | | Open issues | 45 | 232 | | Language | Python | Python | | Adopt for | Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. | MeloTTS is an MIT-licensed Python library for high-quality multi-lingual text-to-speech, supporting English, Spanish, French, Chinese, Japanese and Korean. | | Persona | - | - | | Runtime | - | - | | License | MIT License, open-source with permissive terms for modification and distribution. | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [MeloTTS](/tools/myshell-ai-melotts.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 64d | 581d | | Open issues (now) | 45 | 232 | | Owner type | User | Organization | | Full report | [trust report](/tools/devnen-chatterbox-tts-server/trust.md) | [trust report](/tools/myshell-ai-melotts/trust.md) | ## Decision facts: Chatterbox-TTS-Server - **Requirements:** Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements. - **Adopt for:** Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. - **License detail:** MIT License, open-source with permissive terms for modification and distribution. ## 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. ## Choose when ### Choose Chatterbox-TTS-Server if… - Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.. - Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox. - You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning. ### Choose MeloTTS if… - Tags unique to MeloTTS: chinese, english, french, japanese. - If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution. - More GitHub stars (7.6k vs 1.4k) - visibility, not fit. ## When NOT to use Chatterbox-TTS-Server - When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). - If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. - For projects requiring minimal dependencies without manual handling of installation intricacies. ## 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. ## Common questions ### What is the difference between Chatterbox-TTS-Server and MeloTTS? Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. MeloTTS: High-quality multi-lingual text-to-speech library by MyShell.ai. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chatterbox-TTS-Server over MeloTTS? Choose Chatterbox-TTS-Server over MeloTTS when Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.; Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox; You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning. ### When should I choose MeloTTS over Chatterbox-TTS-Server? Choose MeloTTS over Chatterbox-TTS-Server when Tags unique to MeloTTS: chinese, english, french, japanese; If your project requires support for a broad language range including less common languages like Japanese or Korean in a TTS solution; More GitHub stars (7.6k vs 1.4k) - visibility, not fit. ### When should I avoid Chatterbox-TTS-Server? When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. For projects requiring minimal dependencies without manual handling of installation intricacies. ### 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. ### Is Chatterbox-TTS-Server or MeloTTS more popular on GitHub? MeloTTS has more GitHub stars (7,551 vs 1,379). Stars measure visibility, not whether either tool fits your constraints. ### Are Chatterbox-TTS-Server and MeloTTS open source? Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, MeloTTS: MIT). ### Where can I find alternatives to Chatterbox-TTS-Server or MeloTTS? GraphCanon lists graph-backed alternatives at [Chatterbox-TTS-Server alternatives](/tools/devnen-chatterbox-tts-server/alternatives) and [MeloTTS alternatives](/tools/myshell-ai-melotts/alternatives) ([Chatterbox-TTS-Server markdown twin](/tools/devnen-chatterbox-tts-server/alternatives.md), [MeloTTS markdown twin](/tools/myshell-ai-melotts/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/devnen-chatterbox-tts-server-vs-myshell-ai-melotts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Chatterbox-TTS-Server or MeloTTS? Chatterbox-TTS-Server: Steady. MeloTTS: Dormant. 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 Chatterbox-TTS-Server and MeloTTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chatterbox-TTS-Server trust report](/tools/devnen-chatterbox-tts-server/trust); [MeloTTS trust report](/tools/myshell-ai-melotts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=devnen-chatterbox-tts-server`](/api/graphcanon/graph?tool=devnen-chatterbox-tts-server) - 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/_