--- title: "FunASR vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/modelscope-funasr-vs-talater-annyang" tools: ["modelscope-funasr", "talater-annyang"] --- # FunASR vs annyang *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 annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [FunASR](https://github.com/modelscope/FunASR) reports 20k GitHub stars, 2.0k forks, and 5 open issues, last pushed Jul 30, 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 [FunASR's repository](https://github.com/modelscope/FunASR) and [annyang's repository](https://github.com/TalAter/annyang). | | [FunASR](/tools/modelscope-funasr.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | Industrial-grade speech recognition toolkit | Speech recognition for your site | | Stars | 19,554 | 6,818 | | Forks | 1,965 | 1,048 | | Open issues | 5 | 10 | | Language | Python | TypeScript | | Adopt for | FunASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages. | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. | | Persona | - | - | | Runtime | - | - | | License | MIT License allows free use and modification. | MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FunASR](/tools/modelscope-funasr.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 5 | 10 | | Owner type | Organization | User | | Full report | [trust report](/tools/modelscope-funasr/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## 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: 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 FunASR if… - FunASR is primarily Python; annyang is TypeScript. - 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 annyang if… - annyang is primarily TypeScript; FunASR is Python. - 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, 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 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 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 FunASR and annyang? FunASR: Industrial-grade speech recognition toolkit. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose FunASR over annyang? Choose FunASR over annyang when FunASR is primarily Python; annyang is TypeScript; 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 annyang over FunASR? Choose annyang over FunASR when annyang is primarily TypeScript; FunASR is Python; 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, 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 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 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 FunASR or annyang more popular on GitHub? FunASR has more GitHub stars (19,554 vs 6,818). Stars measure visibility, not whether either tool fits your constraints. ### Are FunASR and annyang open source? Yes - both are open-source projects on GitHub (FunASR: MIT, annyang: MIT). ### Where can I find alternatives to FunASR or annyang? GraphCanon lists graph-backed alternatives at [FunASR alternatives](/tools/modelscope-funasr/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([FunASR markdown twin](/tools/modelscope-funasr/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/modelscope-funasr-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FunASR or annyang? FunASR: 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 FunASR and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FunASR trust report](/tools/modelscope-funasr/trust); [annyang trust report](/tools/talater-annyang/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/_