--- title: "FluidAudio vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fluidinference-fluidaudio-vs-talater-annyang" tools: ["fluidinference-fluidaudio", "talater-annyang"] --- # FluidAudio vs annyang *GraphCanon updated Jul 30, 2026* ## Verdict Pick FluidAudio if fluidAudio provides CoreML-based models for tasks like text-to-speech, speech-to-text, voice activity detection, and speaker diarization in Swift, focused on iOS and macOS; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [FluidAudio](https://docs.fluidinference.com/introduction) reports 2.6k GitHub stars, 360 forks, and 19 open issues, last pushed Jul 26, 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 [FluidAudio's repository](https://github.com/FluidInference/FluidAudio) and [annyang's repository](https://github.com/TalAter/annyang). | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift. | Speech recognition for your site | | Stars | 2,554 | 6,818 | | Forks | 360 | 1,048 | | Open issues | 19 | 10 | | Language | Swift | TypeScript | | Adopt for | FluidAudio provides CoreML-based models for tasks like text-to-speech, speech-to-text, voice activity detection, and speaker diarization in Swift, focused on iOS and macOS. | 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._ | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 15d | | Open issues (now) | 19 | 10 | | Owner type | Organization | User | | Full report | [trust report](/tools/fluidinference-fluidaudio/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## Decision facts: FluidAudio - **Adopt for:** FluidAudio provides CoreML-based models for tasks like text-to-speech, speech-to-text, voice activity detection, and speaker diarization in Swift, focused on iOS and macOS. ## 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 FluidAudio if… - FluidAudio is primarily Swift; annyang is TypeScript. - License: FluidAudio is Apache-2.0, annyang is MIT. - Tags unique to FluidAudio: ane, asr, audio, automatic-speech-recognition. - You need accurate speech-to-text transcription with support for real-time processing in a Swift environment ### Choose annyang if… - annyang is primarily TypeScript; FluidAudio is Swift. - License: annyang is MIT, FluidAudio 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 FluidAudio - If your project requires cross-platform compatibility beyond Apple's ecosystem - For projects that do not require CoreML-based optimizations and can run on more universally adopted frameworks across multiple operating systems ## 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 FluidAudio and annyang? FluidAudio: CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose FluidAudio over annyang? Choose FluidAudio over annyang when FluidAudio is primarily Swift; annyang is TypeScript; License: FluidAudio is Apache-2.0, annyang is MIT; Tags unique to FluidAudio: ane, asr, audio, automatic-speech-recognition; You need accurate speech-to-text transcription with support for real-time processing in a Swift environment. ### When should I choose annyang over FluidAudio? Choose annyang over FluidAudio when annyang is primarily TypeScript; FluidAudio is Swift; License: annyang is MIT, FluidAudio 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 FluidAudio? If your project requires cross-platform compatibility beyond Apple's ecosystem For projects that do not require CoreML-based optimizations and can run on more universally adopted frameworks across multiple operating systems ### 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 FluidAudio or annyang more popular on GitHub? annyang has more GitHub stars (6,818 vs 2,554). Stars measure visibility, not whether either tool fits your constraints. ### Are FluidAudio and annyang open source? Yes - both are open-source projects on GitHub (FluidAudio: Apache-2.0, annyang: MIT). ### Where can I find alternatives to FluidAudio or annyang? GraphCanon lists graph-backed alternatives at [FluidAudio alternatives](/tools/fluidinference-fluidaudio/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([FluidAudio markdown twin](/tools/fluidinference-fluidaudio/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/fluidinference-fluidaudio-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FluidAudio or annyang? FluidAudio: 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 FluidAudio and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FluidAudio trust report](/tools/fluidinference-fluidaudio/trust); [annyang trust report](/tools/talater-annyang/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fluidinference-fluidaudio`](/api/graphcanon/graph?tool=fluidinference-fluidaudio) - 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/_