Show HN: Muesli – If Granola and Wisprflow had an open source on device baby
freedspeech.xyzHey folks, I am the developer behind muesli - which is your one stop app for all your speech to text needs, be it voice dictation or meeting transcriptions that runs on device on your Apple Neural Engine using CoreML based STT models (Parakeet, Whisper, Cohere transcribe). Everything is open source and we are at 160 stars - au naturale - would love for folks to use it and contribute further to the development Github: https://github.com/pHequals7/muesli Looking to add on device CUA and support more models (MSFT Vibevoice, IBM Granite etc) Looking for something like this. An OSS on device version where I can store transcripts as markdowns in my file system. Finally something that works local and feels polished! let me know if you face any issues - and always looking for more collaborators! How are you handling the on device speech pipeline, especially around model size, latency, and accuracy tradeoffs on consumer hardware? Currently the on device models such as Parakeet and Whisper are great for English, faster than cloud hosted models a little less accurate - if you switch on the post processing, the ASR output goes through a fine tuned Qwen 3.5 model that improves the accuracy, formatting etc - all of the code is open source feel free to inspect and suggest perf improvements as a PR! very cool - going to try this out today love the sly name! test - checking hmac availability this is now making me hungry