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Show HN: Muesli – If Granola and Wisprflow had an open source on device baby
A one-stop, open-source, on-device speech-to-text application for voice dictation and meeting transcriptions, leveraging Apple Neural Engine with CoreML-based STT models (Parakeet, Whisper, Cohere transcribe).
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AI Executive Synthesis
A one-stop, open-source, on-device speech-to-text application for voice dictation and meeting transcriptions, leveraging Apple Neural Engine with CoreML-based STT models (Parakeet, Whisper, Cohere transcribe).
Muesli offers an open-source, on-device speech-to-text solution, leveraging Apple Neural Engine for local processing. This directly addresses enterprise concerns regarding data privacy and compliance, as sensitive audio data remains on the user's device, avoiding cloud transmission. For B2B, this capability is critical for secure meeting transcriptions, confidential dictation, and real-time voice command interfaces in regulated industries. The use of established STT models like Whisper and Cohere transcribe, combined with an open-source model, fosters trust and allows for customization. This positions Muesli as a foundational component for privacy-centric, high-performance local AI applications.
Hey 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
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Muesli – If Granola and Wisprflow had an open source on device baby?
Muesli – If Granola and Wisprflow had an open source on device baby is analyzed by our AI as: A one-stop, open-source, on-device speech-to-text application for voice dictation and meeting transcriptions, leveraging Apple Neural Engine with CoreML-based STT models (Parakeet, Whisper, Cohere transcribe).. It focuses on Muesli offers an open-source, on-device speech-to-text solution, leveraging Apple Neural Engine for local processing. This directly addresses enter...
Where did Muesli – If Granola and Wisprflow had an open source on device baby originate?
Data for Muesli – If Granola and Wisprflow had an open source on device baby was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Muesli – If Granola and Wisprflow had an open source on device baby publicly launched?
The initial public indexing or launch date for Muesli – If Granola and Wisprflow had an open source on device baby within our tracked developer communities was recorded on May 5, 2026.
How popular is Muesli – If Granola and Wisprflow had an open source on device baby?
Muesli – If Granola and Wisprflow had an open source on device baby has achieved measurable traction, logging over 13 traction score and facilitating 7 recorded discussions or engagements.
Which technical categories define Muesli – If Granola and Wisprflow had an open source on device baby?
Based on metadata extraction, Muesli – If Granola and Wisprflow had an open source on device baby is categorized under topics such as: open source, on device, speech to text, voice dictation.
Are there open-source alternatives related to Muesli – If Granola and Wisprflow had an open source on device baby?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named fikrikarim/parlor shares highly similar architectural descriptions and topics.
How does the creator describe Muesli – If Granola and Wisprflow had an open source on device baby?
The original author or development team describes the product as follows: "Hey 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 ..."
Community Voice & Feedback
[flagged]
this is now making me hungry
very cool - going to try this out today
love the sly name!
How are you handling the on device speech pipeline, especially around model size, latency, and accuracy tradeoffs on consumer hardware?
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!
Github: https://github.com/pHequals7/muesliLooking to add on device CUA and support more models (MSFT Vibevoice, IBM Granite etc)
Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.