--- title: "ChatTTS vs SenseVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-funaudiollm-sensevoice" tools: ["2noise-chattts", "funaudiollm-sensevoice"] --- # ChatTTS vs SenseVoice *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 SenseVoice if senseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.3k forks, and 60 open issues, last pushed Apr 10, 2026. [SenseVoice](https://huggingface.co/spaces/FunAudioLLM/SenseVoice) has 9.0k stars, 799 forks, and 0 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [SenseVoice's repository](https://github.com/FunAudioLLM/SenseVoice). | | [ChatTTS](/tools/2noise-chattts.md) | [SenseVoice](/tools/funaudiollm-sensevoice.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection. | | Stars | 39,768 | 8,961 | | Forks | 4,257 | 799 | | Open issues | 60 | 0 | | Language | Python | C | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | SenseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages. | | 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. | Other | | Categories | AI Agents, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [SenseVoice](/tools/funaudiollm-sensevoice.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 127d | 2d | | Open issues (now) | 60 | 0 | | Stars delta | +140 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/funaudiollm-sensevoice/trust.md) | ## Shared compatibility - **Python**: [ChatTTS](/tools/2noise-chattts.md) - Python runtime; [SenseVoice](/tools/funaudiollm-sensevoice.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: SenseVoice - **Adopt for:** SenseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages. ## Choose when ### Choose ChatTTS if… - ChatTTS is primarily Python; SenseVoice is C. - License: ChatTTS is AGPL-3.0, SenseVoice is Other. - 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 SenseVoice if… - SenseVoice is primarily C; ChatTTS is Python. - License: SenseVoice is Other, ChatTTS is AGPL-3.0. - Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese. - SenseVoice ships Docker support for self-hosted deployment. - Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper ## 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 SenseVoice - Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework - Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models ## Common questions ### What is the difference between ChatTTS and SenseVoice? ChatTTS: A generative speech model for daily dialogue. SenseVoice: Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over SenseVoice? Choose ChatTTS over SenseVoice when ChatTTS is primarily Python; SenseVoice is C; License: ChatTTS is AGPL-3.0, SenseVoice is Other; 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 SenseVoice over ChatTTS? Choose SenseVoice over ChatTTS when SenseVoice is primarily C; ChatTTS is Python; License: SenseVoice is Other, ChatTTS is AGPL-3.0; Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese; SenseVoice ships Docker support for self-hosted deployment; Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper. ### 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 SenseVoice? Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models ### Is ChatTTS or SenseVoice more popular on GitHub? ChatTTS has more GitHub stars (39,768 vs 8,961). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and SenseVoice open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, SenseVoice: Other). ### Where can I find alternatives to ChatTTS or SenseVoice? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [SenseVoice alternatives](/tools/funaudiollm-sensevoice/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [SenseVoice markdown twin](/tools/funaudiollm-sensevoice/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-funaudiollm-sensevoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or SenseVoice? ChatTTS: Slowing. SenseVoice: Very 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 SenseVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [SenseVoice trust report](/tools/funaudiollm-sensevoice/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/_