--- title: "ChatTTS vs metavoice-src" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-metavoiceio-metavoice-src" tools: ["2noise-chattts", "metavoiceio-metavoice-src"] --- # ChatTTS vs metavoice-src *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 metavoice-src if metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [metavoice-src](https://themetavoice.xyz/) has 4.2k stars, 693 forks, and 64 open issues, last pushed Jul 30, 2024. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [metavoice-src's repository](https://github.com/metavoiceio/metavoice-src). | | [ChatTTS](/tools/2noise-chattts.md) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | Foundational model for human-like, expressive TTS | | Stars | 39,768 | 4,203 | | Forks | 4,257 | 693 | | Open issues | 60 | 64 | | Language | Python | Python | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. | | 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) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 127d | 728d | | Open issues (now) | 60 | 64 | | Stars delta | +140 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/metavoiceio-metavoice-src/trust.md) | ## Shared compatibility - **Python**: [ChatTTS](/tools/2noise-chattts.md) - Python runtime; [metavoice-src](/tools/metavoiceio-metavoice-src.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: metavoice-src - **Adopt for:** Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. ## Choose when ### Choose ChatTTS if… - License: ChatTTS is AGPL-3.0, metavoice-src 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 metavoice-src if… - License: metavoice-src is Apache-2.0, ChatTTS is AGPL-3.0. - Tags unique to metavoice-src: ai, deep-learning, pytorch, speech. - metavoice-src ships Docker support for self-hosted deployment. - When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches ## 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 metavoice-src - For users lacking a GPU with at least 12GB VRAM - Without Python version 3.10 to 3.12, metavoice-src might not function properly ## Common questions ### What is the difference between ChatTTS and metavoice-src? ChatTTS: A generative speech model for daily dialogue. metavoice-src: Foundational model for human-like, expressive TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over metavoice-src? Choose ChatTTS over metavoice-src when License: ChatTTS is AGPL-3.0, metavoice-src 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 metavoice-src over ChatTTS? Choose metavoice-src over ChatTTS when License: metavoice-src is Apache-2.0, ChatTTS is AGPL-3.0; Tags unique to metavoice-src: ai, deep-learning, pytorch, speech; metavoice-src ships Docker support for self-hosted deployment; When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches. ### 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 metavoice-src? For users lacking a GPU with at least 12GB VRAM Without Python version 3.10 to 3.12, metavoice-src might not function properly ### Is ChatTTS or metavoice-src more popular on GitHub? ChatTTS has more GitHub stars (39,768 vs 4,203). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and metavoice-src open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, metavoice-src: Apache-2.0). ### Where can I find alternatives to ChatTTS or metavoice-src? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [metavoice-src alternatives](/tools/metavoiceio-metavoice-src/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [metavoice-src markdown twin](/tools/metavoiceio-metavoice-src/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-metavoiceio-metavoice-src.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or metavoice-src? ChatTTS: Slowing. metavoice-src: 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 ChatTTS and metavoice-src? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [metavoice-src trust report](/tools/metavoiceio-metavoice-src/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/_