--- title: "FunASR vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/modelscope-funasr-vs-travisvn-chatterbox-tts-api" tools: ["modelscope-funasr", "travisvn-chatterbox-tts-api"] --- # FunASR vs chatterbox-tts-api *GraphCanon updated Aug 16, 2026* ## Verdict Pick FunASR if funASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages; 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. [FunASR](https://github.com/modelscope/FunASR) reports 20k GitHub stars, 2.0k forks, and 5 open issues, last pushed Jul 30, 2026. [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 [FunASR's repository](https://github.com/modelscope/FunASR) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [FunASR](/tools/modelscope-funasr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Industrial-grade speech recognition toolkit | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 19,554 | 666 | | Forks | 1,965 | 152 | | Open issues | 5 | 16 | | Language | Python | Python | | Adopt for | FunASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages. | 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 License allows free use and modification. | 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._ | | [FunASR](/tools/modelscope-funasr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 5 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/modelscope-funasr/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [FunASR](/tools/modelscope-funasr.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: FunASR - **Requirements:** Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR. - **Adopt for:** FunASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages. - **License detail:** MIT License allows free use and modification. - **Runtime:** unknown ## 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 FunASR if… - License: FunASR is MIT, chatterbox-tts-api is AGPL-3.0. - Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR.. - Tags unique to FunASR: asr, audio, chinese, emotion-recognition. - When requiring high-speed real-time processing of up to 170x realtime speech recognition. ### Choose chatterbox-tts-api if… - License: chatterbox-tts-api is AGPL-3.0, FunASR 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 FunASR - In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary. - For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively. ## 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 FunASR and chatterbox-tts-api? FunASR: Industrial-grade speech recognition toolkit. 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 FunASR over chatterbox-tts-api? Choose FunASR over chatterbox-tts-api when License: FunASR is MIT, chatterbox-tts-api is AGPL-3.0; Requirements: Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR.; Tags unique to FunASR: asr, audio, chinese, emotion-recognition; When requiring high-speed real-time processing of up to 170x realtime speech recognition. ### When should I choose chatterbox-tts-api over FunASR? Choose chatterbox-tts-api over FunASR when License: chatterbox-tts-api is AGPL-3.0, FunASR 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 FunASR? In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary. For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively. ### 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 FunASR or chatterbox-tts-api more popular on GitHub? FunASR has more GitHub stars (19,554 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are FunASR and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (FunASR: MIT, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to FunASR or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [FunASR alternatives](/tools/modelscope-funasr/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([FunASR markdown twin](/tools/modelscope-funasr/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/modelscope-funasr-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, FunASR or chatterbox-tts-api? FunASR: Very active. 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 FunASR and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FunASR trust report](/tools/modelscope-funasr/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=modelscope-funasr`](/api/graphcanon/graph?tool=modelscope-funasr) - 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/_