--- title: "FluidAudio vs dsnote" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fluidinference-fluidaudio-vs-mkiol-dsnote" tools: ["fluidinference-fluidaudio", "mkiol-dsnote"] --- # FluidAudio vs dsnote *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 dsnote if dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0. [FluidAudio](https://docs.fluidinference.com/introduction) reports 2.6k GitHub stars, 360 forks, and 19 open issues, last pushed Jul 26, 2026. [dsnote](https://github.com/mkiol/dsnote) has 1.6k stars, 69 forks, and 141 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [FluidAudio's repository](https://github.com/FluidInference/FluidAudio) and [dsnote's repository](https://github.com/mkiol/dsnote). | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [dsnote](/tools/mkiol-dsnote.md) | | --- | --- | --- | | Tagline | CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift. | An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating. | | Stars | 2,554 | 1,553 | | Forks | 360 | 69 | | Open issues | 19 | 141 | | Language | Swift | C++ | | 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. | dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | dsnote uses MPL-2.0, allowing redistribution, modification, and use in proprietary software with attribution but requires that derivative works are under the same license. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [dsnote](/tools/mkiol-dsnote.md) | | --- | --- | --- | | Open issues (now) | 19 | 141 | | Owner type | Organization | User | | Full report | [trust report](/tools/fluidinference-fluidaudio/trust.md) | [trust report](/tools/mkiol-dsnote/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: dsnote - **Requirements:** - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source. - **Adopt for:** dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0. - **License detail:** dsnote uses MPL-2.0, allowing redistribution, modification, and use in proprietary software with attribution but requires that derivative works are under the same license. ## Choose when ### Choose FluidAudio if… - FluidAudio is primarily Swift; dsnote is C++. - License: FluidAudio is Apache-2.0, dsnote is MPL-2.0. - Tags unique to FluidAudio: ane, audio, automatic-speech-recognition, avfoundation. - You need accurate speech-to-text transcription with support for real-time processing in a Swift environment ### Choose dsnote if… - dsnote is primarily C++; FluidAudio is Swift. - License: dsnote is MPL-2.0, FluidAudio is Apache-2.0. - Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source.. - Tags unique to dsnote: machine-translation, nmt, offline, speech-recognition. - - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ## 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 dsnote - - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote. - - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default. ## Common questions ### What is the difference between FluidAudio and dsnote? FluidAudio: CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.. dsnote: An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FluidAudio over dsnote? Choose FluidAudio over dsnote when FluidAudio is primarily Swift; dsnote is C++; License: FluidAudio is Apache-2.0, dsnote is MPL-2.0; Tags unique to FluidAudio: ane, audio, automatic-speech-recognition, avfoundation; You need accurate speech-to-text transcription with support for real-time processing in a Swift environment. ### When should I choose dsnote over FluidAudio? Choose dsnote over FluidAudio when dsnote is primarily C++; FluidAudio is Swift; License: dsnote is MPL-2.0, FluidAudio is Apache-2.0; Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source.; Tags unique to dsnote: machine-translation, nmt, offline, speech-recognition; - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ### 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 dsnote? - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote. - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default. ### Is FluidAudio or dsnote more popular on GitHub? FluidAudio has more GitHub stars (2,554 vs 1,553). Stars measure visibility, not whether either tool fits your constraints. ### Are FluidAudio and dsnote open source? Yes - both are open-source projects on GitHub (FluidAudio: Apache-2.0, dsnote: MPL-2.0). ### Where can I find alternatives to FluidAudio or dsnote? GraphCanon lists graph-backed alternatives at [FluidAudio alternatives](/tools/fluidinference-fluidaudio/alternatives) and [dsnote alternatives](/tools/mkiol-dsnote/alternatives) ([FluidAudio markdown twin](/tools/fluidinference-fluidaudio/alternatives.md), [dsnote markdown twin](/tools/mkiol-dsnote/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-mkiol-dsnote.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FluidAudio or dsnote? FluidAudio: Very active. dsnote: Very 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 dsnote? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FluidAudio trust report](/tools/fluidinference-fluidaudio/trust); [dsnote trust report](/tools/mkiol-dsnote/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/_