Description
Muesli is an open source, native macOS app that bundles speech recognition for two use cases: dictation in the flow of everyday work and recording meetings through the computer's own hardware. The app sits in the menu bar, waits for a configurable hotkey, and pastes the recognized text directly at the cursor position in the active application after the hotkey is released, holding the hotkey for short dictations and double tapping it for longer, hands free recordings. For meetings, Muesli captures the microphone and system audio through a CoreAudio process tap, with a ScreenCaptureKit fallback, detects active calls from camera and microphone activity in recognized meeting apps such as Zoom, Teams, or Slack, and can open meeting links straight from calendar events and start the recording.
Speech recognition runs entirely locally on Apple Silicon, through CoreML, the Neural Engine, and Metal, using models such as Parakeet TDT, Nemotron 3.5, Cohere Transcribe 2B, several Whisper sizes through WhisperKit, or experimentally Gemma 4. This requires a Mac with an Apple Silicon processor; the recommended Parakeet v3 model downloads roughly 450 MB on first launch, and larger models such as Gemma 4 several gigabytes. Meeting capture without a bot participant needs microphone permission for your voice, screen or system audio recording permission for computer audio, and optional Calendar access for meeting detection. Pasting the dictated text depends on Accessibility permission, and the global hotkey depends on Input Monitoring; all of these permissions are tied to the specific installation path in /Applications, which means duplicate copies of the app can cause dictation and hotkey permissions to fail silently. Structured notes and summaries built from the raw transcript are an optional second step that requires either your own API key for OpenAI or OpenRouter, signing in with an existing ChatGPT subscription, or a locally running Ollama model.
Compared with dictation tools that send audio to a cloud service for processing, the difference is that Muesli dictates and pastes without an internet connection once installed. Compared with meeting bots that join a video call as their own participant, Muesli instead records from the user's own machine, so no additional guest shows up in the participant list and the raw transcript stays available as a checkable source alongside the generated summary. Anyone looking for pure cloud transcription without a local install, or working on Windows or Linux, will not find that option in Muesli; the app is built exclusively for macOS.










