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I'm considering adding a feature to include auto punctuation and capitalization. Would that solve it for you?


Sorry about these issues - appreciate all the details. Are you on an Intel Mac by any chance?


Nope MacBook Air M4


Apple's built in dictation still executes parts of it online and even has a disclosure that it "sends information like your voice input, contacts, and location to Apple."

This project uses the on-device SpeechAnalyzer API directly and makes zero network calls, and since it's open source you can verify that nothing leaves your Mac.


Thank you for this feedback! Heard from other folks the menu bar is redundant too - will kill it in the next update and fix the F13 issue.

And interesting re: history - it does have the option to clear, but you’d want that as a setting?

Trying to keep the amount of settings to a minimum - personally finding it overwhelming when apps have too many bells and whistles lol


Honestly I'd ditch the Dock icon and keep the menubar item. For a utility with no other UI to use, that's the way to go, and similar apps do the same.

W.r.t. the history — I'm just saying I don't want my input to be logged at all. It has no utility. It can be discarded as soon as it's pasted. I don't want to maintain a log by pressing Clear every now and then.


Totally! I honestly think so many frontier AI models will be running locally in the future. This is just the start.


It's a great name. Glad someone else thought of something similar!


I don't think you're missing something - Apple's built in dictation is pretty good. The biggest issue is that it still executes parts of it online via Apple's servers and even has a disclosure that it "sends information like your voice input, contacts, and location to Apple."

This project uses the on-device SpeechAnalyzer API directly and makes zero network calls, and since it's open source you can verify that nothing leaves your Mac. It also keeps a local searchable history. Finally, I also added press-to-stop with a preview so you can cancel a bad take before it inserts, instead of typing live (very useful in terminal).

What type of package were you hoping it was?


Ahh that makes sense, I was under the impression that OS dictation used exclusively on device models for dictation now but you're right - they do still send this data for transcription.

That definitely changes my take and I'm interested in trying this!

My initial assumption was that this was something I could invoke via CLI or within scripts to transcribe audio from files or user input using on-device models, which is something I would presently probably use Whisper for.


That would be a super trivial fork actually! You basically just need this file https://github.com/FrigadeHQ/yap/blob/main/Sources/Services/... and then wrap a cli around it :)


Does the new SpeechAnalyzer API not call Apple Servers? I remember when I was building on the last version, it you wanted real time transcription you needed at least to upload it to Apple Servers for processing.


I think it once did! Now it doesn't - ways to easily verify this:

1) install the dmg in the GH repo

2) turn off wifi

3) use it offline


That doesn’t prove it doesn’t send data if it has the possibility. It could use the offline model only as a fallback.


yeah, this is a possibility and also they could store it and send it after we appear online.


The funny thing about this project is that I own https://www.yaps.ai which is also offline dictation, amidst a ton of other things (e.g. speech generation, meetings, video editing, etc.). And I legit thought this thread was about my tool until I opened it up.


I was having the same question, now it makes sense.


Thanks for linking! I've used both Apple's and Parakeet locally for a while and haven't been able to spot the difference in quality and speed is better on Apple's model (+ doesn't take several gigs of memory). Have you noticed any quality differences anecdotally?


My bad - this is now fixed. Thank you!


Luckily no. The calls are executed client-side just like they would if you were using the UI.


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