--- title: "murmure vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kieirra-murmure-vs-talater-annyang" tools: ["kieirra-murmure", "talater-annyang"] --- # murmure vs annyang *GraphCanon updated Jul 31, 2026* ## Verdict Pick murmure if murmure provides local and cross-platform speech-to-text service enhanced by LLM post-processing; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [murmure](https://www.murmure.app) reports 979 GitHub stars, 88 forks, and 12 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 [murmure's repository](https://github.com/Kieirra/murmure) and [annyang's repository](https://github.com/TalAter/annyang). | | [murmure](/tools/kieirra-murmure.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | Local, private Speech-to-Text with LLM Post-processing | Speech recognition for your site | | Stars | 979 | 6,818 | | Forks | 88 | 1,048 | | Open issues | 12 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Murmure provides local and cross-platform speech-to-text service enhanced by LLM post-processing. | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | 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._ | | [murmure](/tools/kieirra-murmure.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 12 | 10 | | Full report | [trust report](/tools/kieirra-murmure/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## Decision facts: murmure - **Adopt for:** Murmure provides local and cross-platform speech-to-text service enhanced by LLM post-processing. ## 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 murmure if… - License: murmure is AGPL-3.0, annyang is MIT. - Tags unique to murmure: asr, asr-model, privacy. - Also covers LLM Frameworks. - Use Murmure when you need to perform speech-to-text conversion on premises without relying on cloud services. ### Choose annyang if… - License: annyang is MIT, murmure is AGPL-3.0. - 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 murmure - Avoid using Murmure in scenarios where the flexibility of language model choices other than its designated LLM post-processing is required. - Do not use this tool when your project strictly requires real-time processing and cloud-scale resources for large audio data, asMurmele relies on local computation which may have limitations. ## 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 murmure and annyang? murmure: Local, private Speech-to-Text with LLM Post-processing. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose murmure over annyang? Choose murmure over annyang when License: murmure is AGPL-3.0, annyang is MIT; Tags unique to murmure: asr, asr-model, privacy; Also covers LLM Frameworks; Use Murmure when you need to perform speech-to-text conversion on premises without relying on cloud services. ### When should I choose annyang over murmure? Choose annyang over murmure when License: annyang is MIT, murmure is AGPL-3.0; 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 murmure? Avoid using Murmure in scenarios where the flexibility of language model choices other than its designated LLM post-processing is required. Do not use this tool when your project strictly requires real-time processing and cloud-scale resources for large audio data, asMurmele relies on local computation which may have limitations. ### 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 murmure or annyang more popular on GitHub? annyang has more GitHub stars (6,818 vs 979). Stars measure visibility, not whether either tool fits your constraints. ### Are murmure and annyang open source? Yes - both are open-source projects on GitHub (murmure: AGPL-3.0, annyang: MIT). ### Where can I find alternatives to murmure or annyang? GraphCanon lists graph-backed alternatives at [murmure alternatives](/tools/kieirra-murmure/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([murmure markdown twin](/tools/kieirra-murmure/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/kieirra-murmure-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, murmure or annyang? murmure: 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 murmure and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [murmure trust report](/tools/kieirra-murmure/trust); [annyang trust report](/tools/talater-annyang/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kieirra-murmure`](/api/graphcanon/graph?tool=kieirra-murmure) - 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/_