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OpenWispr vs Muesli

OpenWispr vs Muesli

Muesli is 100% local dictation plus Granola-style meeting transcription with speaker labels — no bot joining your calls. It's macOS 14.2+, Apple Silicon only, with no Android app.

Download for macOS Get it on Google Play
OpenWispr/Compare/vs Muesli
The short version

Muesli does more per session; OpenWispr does it on more devices.

Muesli (836 ★, MIT) is dictation plus local meeting transcription with speaker labels, entirely on-device, with no bot joining your calls to capture them. It publishes the clearest model table found in this research — Parakeet v3 (25 languages, ~0.13s), Nemotron 3.5 (100+ locales), Cohere 2B (~1s), and Whisper Large Turbo (~2–4s) — which makes the accuracy/speed tradeoff self-explanatory rather than a guess.

It's macOS 14.2+, Apple Silicon only. There's no Windows, Linux, iOS, or Android build. OpenWispr doesn't currently match its meeting-transcription feature, but it does run on Android and on Intel Macs, neither of which Muesli covers.

OpenWispr
Muesli
836 ★, Apple Silicon only
Android app
Yes — on Google Play
No — macOS Apple Silicon only
Meeting transcription with speaker labels
Not a feature today
Yes — local, Granola-style, no bot joins the call
Published model table (size/latency/languages)
Not published
Yes — the clearest found in this research: Parakeet v3, Nemotron 3.5, Cohere 2B, Whisper Large Turbo
Intel Mac support
Yes
No — Apple Silicon only
Price
Free, one tier
Free
Open source
Yes — MIT
Yes — MIT
Progressive, feature-scoped permissions
Not documented this way today
Yes — Accessibility unlocks pasting, Input Monitoring unlocks the hotkey, Screen/Audio unlocks meetings, requested separately as needed
Distribution
Direct download, Google Play
Homebrew cask
Sourced from the competitor's own documentation, changelog, and public statements as cited below. Figures can change — see linked sources for the latest.
Where Muesli is ahead

A second product bolted cleanly onto dictation, and real transparency

Meeting transcription with speaker labels, running entirely on-device with no bot joining the call, is a meaningfully different capability from single-utterance dictation — and Muesli ships it well. Its published model table is also the clearest thing of its kind found across this whole research effort: four models with size, latency, and language-count spelled out, so "why pick one over another" answers itself instead of requiring trial and error.

Its permission model is worth copying directly: request Accessibility only when it unlocks pasting, Input Monitoring only when it unlocks the hotkey, Screen/Audio only when it unlocks meetings — instead of a wall of dialogs at first launch. That's a better first-run experience than most apps in this category, OpenWispr's current flow included.

Where OpenWispr is ahead

Android, and Intel Macs

Muesli requires Apple Silicon specifically — no Intel Mac support, and nothing on Windows, Linux, iOS, or Android. OpenWispr runs on Android today and doesn't require an M-series chip on macOS.

If meeting transcription isn't something you need and your device isn't a Silicon Mac, Muesli isn't reachable at all; OpenWispr is.

Questions

Good questions, honest answers.

Does Muesli have an Android app? +
No. Muesli is macOS 14.2+, Apple Silicon only, with no build for Windows, Linux, iOS, or Android. OpenWispr's Android app is live on Google Play.
Does OpenWispr do meeting transcription like Muesli? +
Not today. Muesli's local, Granola-style meeting transcription with speaker labels is a distinct, well-built feature OpenWispr doesn't currently match.
Does Muesli work on an Intel Mac? +
No — Apple Silicon only. OpenWispr supports both Intel and Apple Silicon Macs.
What models does Muesli support? +
Per their own published table: Parakeet v3 (25 languages, ~0.13s), Nemotron 3.5 (100+ locales), Cohere 2B (~1s), and Whisper Large Turbo (~2–4s) — the clearest model documentation found in this research. OpenWispr currently ships NVIDIA Parakeet-TDT by default or Whisper via whisper.cpp, selectable, without the same published latency table yet.
Is Muesli open source? +
Yes — MIT-licensed, same as OpenWispr, with 836 stars on GitHub.
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Use case
One free, open-source app for macOS and Android

Start dictating privately.

Open source and entirely on your device. Android from Google Play, macOS from GitHub — no account, no sign-up, just a download.

Download for macOS Get it on Google Play
OpenWispr Voice to text, on your device.
GitHub Privacy Policy Features vs Wispr Flow vs superwhisper On-device Android dictation MIT © 2026