Glimpse
Fast, local dictation with smart features
Glimpse launched on January 18, 2026.
What it does
Glimpse is an open-source, local-first voice dictation app. It’s for anyone who wants the “talk instead of type” workflow without the usual friction: minimal setup, fast UI, and text that inserts directly at your cursor in any app. Key features: • On-device transcription • Custom dictionary + text replacements • App-specific modes / profiles
Voice dictation that stays on your device. Open-source, local-first, and built for people who actually care about privacy. - glimpse-hq/Glimpse
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DictlyOct 2025 · dictly.app · ▲240TL;DR: I built a native macOS dictation app that transcribes locally and instantly. Text appears as you speak (measured ~100 ms first‑character latency). No accounts, no servers, no tracking. Links: • Website: https://dictly.app • Mac App Store: https://apps.apple.com/de/app/dictly-no-keys-just-clarity/id... • Free download; optional Pro tier (pipelines, unlimited history, etc.) What it does Real‑time transcription — streaming text while you talk, not after you stop. Quick‑Capture Overlay (macOS) — global hotkey, drop text into any app/field.…
TongueType for macOSMay 2026 · tonguetype.app · ▲109Hi HN, I'm a longtime web dev, but this is my first macOS app. Feedback is very welcome <3 I built TongueType because every dictation app I tried failed at least one of three things: it sent my audio to someone's cloud, it charged me monthly fee, or it felt clunky or enterprisy. The cloud thing kills it for anything sensitive. The subscription thing is insulting for what amounts to "Whisper + a hotkey." TongueType runs Whisper locally on Apple Silicon via CoreML. It's built to feel like a second keyboard: tap the hotkey, talk, let go, words appear. It sits in the menu bar (no dock icon, no…
SaylineJan 2026 · sayline.app · ▲83I built a voice dictation app for macOS mostly because I was tired of how awful Siri is and I didn't want to pay a subscription for cloud tools. The app uses NVIDIA's Parakeet v3 (TDT) as the primary engine. Inference is handled by the FluidAudio library. It's insanely fast on M-series chips. For Intel users, I added local Whisper support ranging from Tiny up to Large v3 Turbo (quantized to save space). The interesting part was the AI integration. I originally tried to pipeline the ASR output into Apple's Intelligence Foundation Model. It was a nightmare, because the content moderation…
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