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Crisper – On-device voice to polished text for macOS
by gokulnair2001·May 19, 2026·1 point·3 comments
AI Analysis
●●●BangerSlickZero to One
Two-stage local pipeline fixes filler words and grammar better than macOS dictation.
Strengths
- •Dual-model approach separates transcription from stylistic polishing for better control.
- •Floating pill interface auto-pastes results directly into the previously active application.
- •Complete offline processing ensures privacy for sensitive meetings and code discussions.
Weaknesses
- •macOS-only limitation excludes Windows and Linux users from the workflow.
- •On-device models may struggle with highly specialized technical jargon compared to cloud APIs.
Category
Target Audience
Mac users, writers, and developers
Similar To
MacWhisper · Otter.ai · Dragon NaturallySpeaking
Post Description
Hey HN,
I built Crisper because every dictation tool I tried either sent audio to the cloud or gave me raw, messy transcripts I still had to fix.
Crisper runs entirely on-device — no network calls, no account, no subscription. It does two things in sequence: transcribes using a speech model, then runs a local LM pass to strip filler words, fix grammar, and make the output sound intentional. The whole thing takes ~1–2 seconds on Apple Silicon.
A floating hotkey pill sits above every window. When you're done recording, it auto-pastes back into whatever app you were in before — Slack, Notion, VS Code, anything.
A few things I'm happy with: - Three recording modes (toggle, hold-to-record, re-paste last) — all rebindable - Full transcript library with source app, timestamp, and audio playback - Fully offline after first-run model download
Free to download. Would love feedback on the AI polish quality especially — that's the part I'm still tuning.
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