--- title: "FluidAudio vs openless" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fluidinference-fluidaudio-vs-open-less-openless" tools: ["fluidinference-fluidaudio", "open-less-openless"] --- # FluidAudio vs openless *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 openless if openless is a Rust-based open-source tool that offers AI-polished text output from voice input for users on macOS and Windows platforms. [FluidAudio](https://docs.fluidinference.com/introduction) reports 2.6k GitHub stars, 360 forks, and 19 open issues, last pushed Jul 26, 2026. [openless](https://github.com/appergb/openless) has 2.9k stars, 252 forks, and 34 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [FluidAudio's repository](https://github.com/FluidInference/FluidAudio) and [openless's repository](https://github.com/Open-Less/openless). | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [openless](/tools/open-less-openless.md) | | --- | --- | --- | | Tagline | CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift. | AI-polished text from voice input for macOS and Windows | | Stars | 2,554 | 2,881 | | Forks | 360 | 252 | | Open issues | 19 | 34 | | Language | Swift | Rust | | 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. | Openless is a Rust-based open-source tool that offers AI-polished text output from voice input for users on macOS and Windows platforms. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Speech & Audio | Data & Retrieval, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FluidAudio](/tools/fluidinference-fluidaudio.md) | [openless](/tools/open-less-openless.md) | | --- | --- | --- | | Days since push | 4d | 6d | | Open issues (now) | 19 | 34 | | Full report | [trust report](/tools/fluidinference-fluidaudio/trust.md) | [trust report](/tools/open-less-openless/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: openless - **Adopt for:** Openless is a Rust-based open-source tool that offers AI-polished text output from voice input for users on macOS and Windows platforms. ## Choose when ### Choose FluidAudio if… - FluidAudio is primarily Swift; openless is Rust. - License: FluidAudio is Apache-2.0, openless is MIT. - 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 openless if… - openless is primarily Rust; FluidAudio is Swift. - License: openless is MIT, FluidAudio is Apache-2.0. - Tags unique to openless: ai-prompt, dictation, linux, llm. - Also covers Data & Retrieval. - You need an all-in-one solution for converting spoken words into polished written text across various applications without leaving the current app environment. ## 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 openless - You require extensive customization options for AI text polishing, as Openless offers limited user-tuning settings compared to some competitors. - Your operating system is Linux; while it's listed under topics, the tool is explicitly developed and supported for macOS and Windows only. ## Common questions ### What is the difference between FluidAudio and openless? FluidAudio: CoreML audio models for text-to-speech, speech-to-text, voice activity detection and speaker diarization in Swift.. openless: AI-polished text from voice input for macOS and Windows. See the comparison table for live GitHub stats and shared categories. ### When should I choose FluidAudio over openless? Choose FluidAudio over openless when FluidAudio is primarily Swift; openless is Rust; License: FluidAudio is Apache-2.0, openless is MIT; 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 openless over FluidAudio? Choose openless over FluidAudio when openless is primarily Rust; FluidAudio is Swift; License: openless is MIT, FluidAudio is Apache-2.0; Tags unique to openless: ai-prompt, dictation, linux, llm; Also covers Data & Retrieval; You need an all-in-one solution for converting spoken words into polished written text across various applications without leaving the current app environment. ### 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 openless? You require extensive customization options for AI text polishing, as Openless offers limited user-tuning settings compared to some competitors. Your operating system is Linux; while it's listed under topics, the tool is explicitly developed and supported for macOS and Windows only. ### Is FluidAudio or openless more popular on GitHub? openless has more GitHub stars (2,881 vs 2,554). Stars measure visibility, not whether either tool fits your constraints. ### Are FluidAudio and openless open source? Yes - both are open-source projects on GitHub (FluidAudio: Apache-2.0, openless: MIT). ### Where can I find alternatives to FluidAudio or openless? GraphCanon lists graph-backed alternatives at [FluidAudio alternatives](/tools/fluidinference-fluidaudio/alternatives) and [openless alternatives](/tools/open-less-openless/alternatives) ([FluidAudio markdown twin](/tools/fluidinference-fluidaudio/alternatives.md), [openless markdown twin](/tools/open-less-openless/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-open-less-openless.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FluidAudio or openless? FluidAudio: Very active. openless: 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 openless? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FluidAudio trust report](/tools/fluidinference-fluidaudio/trust); [openless trust report](/tools/open-less-openless/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/_