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FrigadeHQ
yap
Swift2026–2026
FrigadeHQ / yap

yap

Free, open source voice dictation for macOS. On-device transcription with Apple's Speech framework. No cloud/no API keys/no account.

2Distinct people
3Mentions
0Explicit recommenders
476GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Free, open source voice dictation for macOS. On-device transcription with Apple's Speech framework. No cloud/no API keys/no account.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

Show HN: Yogurt – Free, private, open-source alternative to Granola direct repository linkDebated

Users are debating whether Yogurt is a necessary replacement for Granola, with some viewing it as a vital cross-platform, private alternative while others argue it duplicates existing tools or lacks features like robust diarization. The strongest disagreement centers on the trade-offs between Yogurt's local-first Electron architecture and the performance or privacy implications of using cloud APIs or native frameworks.

111 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4

Mentions over time

HN mentions by week3 dated mentions

Observed mentions: 2026-07-27 18:36:02 UTC to 2026-08-31 22:23:58 UTC. Weeks start Monday, UTC.

0122026-07-27 00:00:00 UTC to 2026-08-03 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJul 272026-08-03 00:00:00 UTC to 2026-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-10 00:00:00 UTC to 2026-08-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 102026-08-17 00:00:00 UTC to 2026-08-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-24 00:00:00 UTC to 2026-08-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-31 00:00:00 UTC to 2026-09-07 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 31

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 272026-07-27 00:00:00 UTC2026-08-03 00:00:00 UTC211
Aug 32026-08-03 00:00:00 UTC2026-08-10 00:00:00 UTC000
Aug 102026-08-10 00:00:00 UTC2026-08-17 00:00:00 UTC000
Aug 172026-08-17 00:00:00 UTC2026-08-24 00:00:00 UTC000
Aug 242026-08-24 00:00:00 UTC2026-08-31 00:00:00 UTC000
Aug 312026-08-31 00:00:00 UTC2026-09-07 00:00:00 UTC101

What Hacker News says

3 sources

Show HN: Yap – OSS on-device voice dictation for macOS with no model to download

Hey HN! I wanted to share this OSS project I've been working on. It's called Yap and its a small menu-bar app for macOS that does voice to text for any input. You'll set a hotkey, press it, talk, press it again, and the text gets pasted into whatever field you were in. Everything runs locally and never leaves your computer. Fully OSS and MIT licensed. With macOS 26, Apple recently added two new APIs, SpeechAnalyzer and SpeechTranscriber, that do streaming on-device speech to text using models the OS ships and manages. So the app ships no model of its own and loads nothing before the first word. A recent benchmark put Apple's model slightly ahead of Whisper Small on accuracy and about 3x faster (see: https://news.ycombinator.com/item?id=48894752). On Mac, there's really no need anymore to download models or pay for expensive APIs. A lot of
Read the rest
existing dictation tools do one of a few things I wanted to avoid with this OSS project. They either: - cost money (for something that's literally built into the OS) - bundle memory-intensive models (e.g. Whisper or Parakeet) - webapps wrapped in Electron - Intel macs straight up don't work - closed source - use third-party APIs that will have access to all your transcripts It's around 3,000 lines of native Swift in a 4 MB app and idles near 60 MB of memory. Audio comes off AVAudioEngine into SpeechAnalyzer with volatile results turned on for the live preview, history is stored in SwiftData. There's no network code in it at all. Repo and a demo available here: https://github.com/FrigadeHQ/yap Happy to answer questions and would love to hear any feature requests!
104 points · Open discussion

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