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Yap
Open-source voice dictation for Mac, fully on-device
Yap turns speech into text anywhere you can type on your Mac. Set a hotkey, talk, press it again, and the words get pasted into whatever field you were in. It runs entirely on device using macOS 26's speech APIs, so there's no model to download and nothing leaves your machine. It's around 3,000 lines of native Swift in a 4 MB app that idles near 60 MB of memory. Free, MIT licensed, and built by Frigade because we wanted it for ourselves.
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Developer & User Discourse
[Redacted] • Jul 31, 2026
the paste-based insertion is the part i'd poke at. macOS deliberately blocks the accessibility APIs from reading or writing into secure text fields - password fields, a password manager's own vault unlock, sudo prompts in terminal - specifically so assistive apps can't fill them. does yap detect it's in a secure field and just decline to paste, or does the hotkey still fire and it dictates into empty air / fails silently there? asking because "works anywhere you can type" and "macOS explicitly carves out a class of fields no assistive app can touch" are going to run into each other somewhere.
[Redacted] • Jul 30, 2026
fire
[Redacted] • Jul 30, 2026
Congrats on the launch, this looks awesome! On-device, open-source dictation for Mac is exactly what I've been wanting.
[Redacted] • Jul 30, 2026
Great App. @Wispr Flow killer :-) . I tried and discontinued wisper because I thought talk to text should be part of the OS as a free feature. Looks like you guys solved that problem. One issue is verbal stumbles. If you can fix that, it will be a super cool.
[Redacted] • Jul 30, 2026
What languages are supported?
[Redacted] • Jul 30, 2026
that's a great product! + after everything else being bloated, a few MB of memory and no network calls feel like such a relief.
[Redacted] • Jul 30, 2026
Paste is the part I'd want to hear about. If you're putting the transcript on the clipboard to insert it, you're stomping whatever I had copied, and that's the bug that gets a dictation app deleted on day two. Restoring the previous pasteboard afterwards mostly works but races with anything else watching it. Separately, your description says it idles near 60 MB and your comment says a few MB, worth picking one.
[Redacted] • Jul 29, 2026
Hey Product Hunt 👋
I'm Christian, CTO at Frigade. Like everyone else, we recently switched to "Yap-based development". However, the dictation tools we tried either wanted a subscription, made us download and run beefy 1GB+ models, or shipped a whole browser engine to run a menu bar icon. Many of them also rely on sending your private transcripts to remote APIs (even Apple's built in dictation!).
How did we do this? With macOS 26, Apple shipped an on-device speech API called SpeechAnalyzer that turned out to match frontier API models in benchmarks, so we built Yap on top of it for ourselves and open sourced it.
You set a hotkey, talk, press it again, and the text lands in whatever you were typing in. It carries no model of its own and makes no network calls, and the whole thing uses just a few MB of memory.
It's free and MIT licensed. Would love your feedback, and I'm happy to get into the Speech APIs or the Swift side if you want to know what's under the hood.
I'm Christian, CTO at Frigade. Like everyone else, we recently switched to "Yap-based development". However, the dictation tools we tried either wanted a subscription, made us download and run beefy 1GB+ models, or shipped a whole browser engine to run a menu bar icon. Many of them also rely on sending your private transcripts to remote APIs (even Apple's built in dictation!).
How did we do this? With macOS 26, Apple shipped an on-device speech API called SpeechAnalyzer that turned out to match frontier API models in benchmarks, so we built Yap on top of it for ourselves and open sourced it.
You set a hotkey, talk, press it again, and the text lands in whatever you were typing in. It carries no model of its own and makes no network calls, and the whole thing uses just a few MB of memory.
It's free and MIT licensed. Would love your feedback, and I'm happy to get into the Speech APIs or the Swift side if you want to know what's under the hood.