--- title: "ChatTTS vs STT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-coqui-ai-stt" tools: ["2noise-chattts", "coqui-ai-stt"] --- # ChatTTS vs STT *GraphCanon updated Sep 30, 2026* ## Verdict Pick ChatTTS if chatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities; pick STT if sTT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [STT](https://coqui.ai) has 2.6k stars, 295 forks, and 106 open issues, last pushed Mar 11, 2024. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [STT's repository](https://github.com/coqui-ai/STT). | | [ChatTTS](/tools/2noise-chattts.md) | [STT](/tools/coqui-ai-stt.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue. | A fast open-source deep-learning toolkit for speech-to-text | | Stars | 39,850 | 2,606 | | Forks | 4,260 | 295 | | Open issues | 60 | 106 | | Language | Python | C++ | | Adopt for | ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities. | STT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MPL-2.0 | | Categories | LLM Frameworks, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [STT](/tools/coqui-ai-stt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 160d | 922d | | Open issues (now) | 60 | 106 | | Stars delta | +82 (30d) | +7 (30d) | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/coqui-ai-stt/trust.md) | ## Decision facts: ChatTTS - **Requirements:** Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations. - **Adopt for:** ChatTTS is a Python-based generative speech model for daily dialogue, supporting both Chinese and English languages. It offers a web interface and command-line inference capabilities. - **License detail:** AGPL-3.0 ## Decision facts: STT - **Adopt for:** STT is an open-source deep-learning toolkit for speech-to-text with high-quality pre-trained models and efficient training on multi-GPU setups. ## Choose when ### Choose ChatTTS if… - ChatTTS is primarily Python; STT is C++. - License: ChatTTS is AGPL-3.0, STT is MPL-2.0. - Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.. - Tags unique to ChatTTS: agent, chat, chatgpt, chattts. - Also covers LLM Frameworks. - When you need a tool that supports both Chinese and English for daily dialogue generation. ### Choose STT if… - STT is primarily C++; ChatTTS is Python. - License: STT is MPL-2.0, ChatTTS is AGPL-3.0. - Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech recognition. - When you need a tool with high-quality pre-trained STT models ## When NOT to use ChatTTS - If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. - When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. - If you are not comfortable with a slow installation process, as noted in the repository documentation. ## When NOT to use STT - Since its development has slowed, it may not suit users needing the latest research advancements - Avoid if you require community support as active maintenance has decreased - Not ideal if newer STT models like Whisper offer more suitable features - Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models ## Common questions ### What is the difference between ChatTTS and STT? ChatTTS: A generative speech model for daily dialogue.. STT: A fast open-source deep-learning toolkit for speech-to-text. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over STT? Choose ChatTTS over STT when ChatTTS is primarily Python; STT is C++; License: ChatTTS is AGPL-3.0, STT is MPL-2.0; Requirements: Optional installations like vLLM and TransformerEngine are available but come with specific warnings and limitations.; Tags unique to ChatTTS: agent, chat, chatgpt, chattts; Also covers LLM Frameworks; When you need a tool that supports both Chinese and English for daily dialogue generation. ### When should I choose STT over ChatTTS? Choose STT over ChatTTS when STT is primarily C++; ChatTTS is Python; License: STT is MPL-2.0, ChatTTS is AGPL-3.0; Tags unique to STT: asr, automatic-speech-recognition, deep-learning, speech recognition; When you need a tool with high-quality pre-trained STT models. ### When should I avoid ChatTTS? If you are working on a project that requires the use of TransformerEngine with NVIDIA GPU, as it is currently under development and cannot run properly. When you need fast text-to-speech generation, as the optional installation of FlashAttention-2 can slow down the generating speed. If you are not comfortable with a slow installation process, as noted in the repository documentation. ### When should I avoid STT? Since its development has slowed, it may not suit users needing the latest research advancements Avoid if you require community support as active maintenance has decreased Not ideal if newer STT models like Whisper offer more suitable features Consider alternatives with better-sustained Model Zoo access for more diverse pre-trained models ### Is ChatTTS or STT more popular on GitHub? ChatTTS has more GitHub stars (39,850 vs 2,606). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and STT open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, STT: MPL-2.0). ### Where can I find alternatives to ChatTTS or STT? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [STT alternatives](/tools/coqui-ai-stt/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [STT markdown twin](/tools/coqui-ai-stt/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-coqui-ai-stt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or STT? ChatTTS: Slowing. STT: 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 STT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [STT trust report](/tools/coqui-ai-stt/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/_