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Live, on-device transcription of any app on your Mac, with speaker names.
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GITHUB · launched Oct 12, 2026 · 11 upvotes (top 90%)
- Horizontal
- Communication
- Prosumer
- AI-native
- Commercial product
- core-audio
- macos
- menu-bar-app
- speech-to-text
- swift
- swiftui
- +2 more
Similar launches
See all 877 similar launches →Could you build this?
Partial While transcription can use existing models (Whisper/CoreML), capturing system audio per-app on macOS combined with real-time on-device diarization and speaker recognition requires low-level macOS audio driver hooking and CoreAudio engineering.
What it would actually take: Architecture requires a Swift/macOS app utilizing ScreenCaptureKit or a CoreAudio HAL audio server plugin / virtual audio driver to intercept system audio per-process. The audio stream must then be routed through an on-device ML pipeline (e.g., pyannote / CoreML for diarization and Whisper.cpp for low-latency ASR) while managing memory and real-time buffer synchronization.
Competitors
Other products that read as similar to this one : 877 launches clear the similarity bar, closest 8 shown.
Attention rank: #836 of 878 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 348 days after the earliest competitor.
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