--- title: "Fun-ASR vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-fun-asr-vs-travisvn-chatterbox-tts-api" tools: ["funaudiollm-fun-asr", "travisvn-chatterbox-tts-api"] --- # Fun-ASR vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick Fun-ASR if fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization; 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. [Fun-ASR](https://huggingface.co/spaces/FunAudioLLM/Fun-ASR-Nano) reports 1.4k GitHub stars, 141 forks, and 0 open issues, last pushed Jul 24, 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 [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 1,449 | 666 | | Forks | 141 | 152 | | Open issues | 0 | 16 | | Language | C | Python | | Adopt for | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. | 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 | Apache-2.0 | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. | | Categories | LLM Frameworks, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 6d | 232d | | Open issues (now) | 0 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-fun-asr/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [Fun-ASR](/tools/funaudiollm-fun-asr.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: Fun-ASR - **Pricing:** freemium - Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms. - **Requirements:** Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0. - **Adopt for:** Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. - **License detail:** Apache-2.0 ## 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 Fun-ASR if… - Fun-ASR is primarily C; chatterbox-tts-api is Python. - License: Fun-ASR is Apache-2.0, chatterbox-tts-api is AGPL-3.0. - Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.. - Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.. - Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr. - Also covers LLM Frameworks. - When you need support for 31 different languages including handling of various dialects and accents. ### Choose chatterbox-tts-api if… - chatterbox-tts-api is primarily Python; Fun-ASR is C. - License: chatterbox-tts-api is AGPL-3.0, Fun-ASR is Apache-2.0. - 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 Fun-ASR - Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. - If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ## 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 Fun-ASR and chatterbox-tts-api? Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. 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 Fun-ASR over chatterbox-tts-api? Choose Fun-ASR over chatterbox-tts-api when Fun-ASR is primarily C; chatterbox-tts-api is Python; License: Fun-ASR is Apache-2.0, chatterbox-tts-api is AGPL-3.0; Pricing: Open source under Apache License 2.0 allows free use with attribution and adherence to the license terms.; Requirements: Installation requires Python packages `funasr` version >=1.3.3, and `vllm` version >=0.12.0.; Tags unique to Fun-ASR: asr, audio-language-model, multilingual-asr, real-time-asr; Also covers LLM Frameworks; When you need support for 31 different languages including handling of various dialects and accents. ### When should I choose chatterbox-tts-api over Fun-ASR? Choose chatterbox-tts-api over Fun-ASR when chatterbox-tts-api is primarily Python; Fun-ASR is C; License: chatterbox-tts-api is AGPL-3.0, Fun-ASR is Apache-2.0; 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 Fun-ASR? Avoid if your project requires a specific programming language other than C as Fun-ASR is primarily developed in C. If you do not require on-device processing, as this tool is designed for on-device inference which may limit scalability for cloud-based applications. ### 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 Fun-ASR or chatterbox-tts-api more popular on GitHub? Fun-ASR has more GitHub stars (1,449 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are Fun-ASR and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (Fun-ASR: Apache-2.0, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to Fun-ASR or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([Fun-ASR markdown twin](/tools/funaudiollm-fun-asr/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/funaudiollm-fun-asr-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, Fun-ASR or chatterbox-tts-api? Fun-ASR: 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 Fun-ASR and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Fun-ASR trust report](/tools/funaudiollm-fun-asr/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-fun-asr`](/api/graphcanon/graph?tool=funaudiollm-fun-asr) - 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/_