--- title: "Fun-ASR vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-fun-asr-vs-talater-annyang" tools: ["funaudiollm-fun-asr", "talater-annyang"] --- # Fun-ASR vs annyang *GraphCanon updated Jul 30, 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 annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [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. [annyang](https://www.talater.com/annyang/) has 6.8k stars, 1.0k forks, and 10 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [Fun-ASR's repository](https://github.com/FunAudioLLM/Fun-ASR) and [annyang's repository](https://github.com/TalAter/annyang). | | [Fun-ASR](/tools/funaudiollm-fun-asr.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks | Speech recognition for your site | | Stars | 1,449 | 6,818 | | Forks | 141 | 1,048 | | Open issues | 0 | 10 | | Language | C | TypeScript | | Adopt for | Fun-ASR is a real-time speech recognition tool supporting 31 languages with capabilities for handling dialects, accents, and speaker diarization. | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. | | 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) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 6d | 15d | | Open issues (now) | 0 | 10 | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-fun-asr/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## 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: annyang - **Pricing:** freemium - Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects. - **Adopt for:** annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. - **License detail:** MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. ## Choose when ### Choose Fun-ASR if… - Fun-ASR is primarily C; annyang is TypeScript. - License: Fun-ASR is Apache-2.0, annyang is MIT. - 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 annyang if… - annyang is primarily TypeScript; Fun-ASR is C. - License: annyang is MIT, Fun-ASR is Apache-2.0. - Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.. - Tags unique to annyang: mit-license, speech, speech-recognition, voice. - When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ## 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 annyang - If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. - For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ## Common questions ### What is the difference between Fun-ASR and annyang? Fun-ASR: Fun-ASR-Nano LLM-ASR model supports 31 languages for real-time speech recognition tasks. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose Fun-ASR over annyang? Choose Fun-ASR over annyang when Fun-ASR is primarily C; annyang is TypeScript; License: Fun-ASR is Apache-2.0, annyang is MIT; 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 annyang over Fun-ASR? Choose annyang over Fun-ASR when annyang is primarily TypeScript; Fun-ASR is C; License: annyang is MIT, Fun-ASR is Apache-2.0; Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.; Tags unique to annyang: mit-license, speech, speech-recognition, voice; When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ### 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 annyang? If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ### Is Fun-ASR or annyang more popular on GitHub? annyang has more GitHub stars (6,818 vs 1,449). Stars measure visibility, not whether either tool fits your constraints. ### Are Fun-ASR and annyang open source? Yes - both are open-source projects on GitHub (Fun-ASR: Apache-2.0, annyang: MIT). ### Where can I find alternatives to Fun-ASR or annyang? GraphCanon lists graph-backed alternatives at [Fun-ASR alternatives](/tools/funaudiollm-fun-asr/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([Fun-ASR markdown twin](/tools/funaudiollm-fun-asr/alternatives.md), [annyang markdown twin](/tools/talater-annyang/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-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Fun-ASR or annyang? Fun-ASR: Very active. annyang: 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 Fun-ASR and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Fun-ASR trust report](/tools/funaudiollm-fun-asr/trust); [annyang trust report](/tools/talater-annyang/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/_