--- title: "vosk-api vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alphacep-vosk-api-vs-talater-annyang" tools: ["alphacep-vosk-api", "talater-annyang"] --- # vosk-api vs annyang *GraphCanon updated Jul 30, 2026* ## Verdict Pick vosk-api if vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [vosk-api](https://github.com/alphacep/vosk-api) reports 15k GitHub stars, 1.7k forks, and 600 open issues, last pushed Jul 2, 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 [vosk-api's repository](https://github.com/alphacep/vosk-api) and [annyang's repository](https://github.com/TalAter/annyang). | | [vosk-api](/tools/alphacep-vosk-api.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | Offline speech recognition API | Speech recognition for your site | | Stars | 15,013 | 6,818 | | Forks | 1,740 | 1,048 | | Open issues | 600 | 10 | | Language | Jupyter Notebook | TypeScript | | Adopt for | Vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification. | 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 | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vosk-api](/tools/alphacep-vosk-api.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Days since push | 27d | 15d | | Open issues (now) | 600 | 10 | | Owner type | Organization | User | | Full report | [trust report](/tools/alphacep-vosk-api/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## Shared compatibility - **Node.js**: [vosk-api](/tools/alphacep-vosk-api.md) - Node.js runtime; [annyang](/tools/talater-annyang.md) - Node.js runtime ## Decision facts: vosk-api - **Adopt for:** Vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification. ## 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 vosk-api if… - vosk-api is primarily Jupyter Notebook; annyang is TypeScript. - License: vosk-api is Apache-2.0, annyang is MIT. - Tags unique to vosk-api: android, asr, deep-learning, deeplearning. - When offline operation is required as Vosk operates without internet connection ### Choose annyang if… - annyang is primarily TypeScript; vosk-api is Jupyter Notebook. - License: annyang is MIT, vosk-api 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, speech-to-text. - 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 vosk-api - When the project requires real-time transcription with high accuracy, possibly surpassing Vosk's performance limitations - For projects limited to languages not currently supported by Vosk's model lineup - If the application necessitates a cloud solution or benefits from regular over-the-air updates and improvements ## 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 vosk-api and annyang? vosk-api: Offline speech recognition API. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose vosk-api over annyang? Choose vosk-api over annyang when vosk-api is primarily Jupyter Notebook; annyang is TypeScript; License: vosk-api is Apache-2.0, annyang is MIT; Tags unique to vosk-api: android, asr, deep-learning, deeplearning; When offline operation is required as Vosk operates without internet connection. ### When should I choose annyang over vosk-api? Choose annyang over vosk-api when annyang is primarily TypeScript; vosk-api is Jupyter Notebook; License: annyang is MIT, vosk-api 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, speech-to-text; 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 vosk-api? When the project requires real-time transcription with high accuracy, possibly surpassing Vosk's performance limitations For projects limited to languages not currently supported by Vosk's model lineup If the application necessitates a cloud solution or benefits from regular over-the-air updates and improvements ### 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 vosk-api or annyang more popular on GitHub? vosk-api has more GitHub stars (15,013 vs 6,818). Stars measure visibility, not whether either tool fits your constraints. ### Are vosk-api and annyang open source? Yes - both are open-source projects on GitHub (vosk-api: Apache-2.0, annyang: MIT). ### Where can I find alternatives to vosk-api or annyang? GraphCanon lists graph-backed alternatives at [vosk-api alternatives](/tools/alphacep-vosk-api/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([vosk-api markdown twin](/tools/alphacep-vosk-api/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/alphacep-vosk-api-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vosk-api or annyang? vosk-api: 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 vosk-api and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vosk-api trust report](/tools/alphacep-vosk-api/trust); [annyang trust report](/tools/talater-annyang/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alphacep-vosk-api`](/api/graphcanon/graph?tool=alphacep-vosk-api) - 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/_