WhisperBud

What it does

WhisperBud is a native macOS dictation app. Hold fn key and talk anywhere on your Mac, and rambling speech becomes clear, formatted text in a blink, processed entirely on your device. Your audio never leaves your machine. It works in every app, email, cursor, claude code, Slack, notes, and pastes right at your cursor. Not a raw transcript: fillers are removed, punctuation added, and it learns the names and terms you use.

Built for developers and AI power users. Turns rough, unscripted thinking into clean technical writing in <200ms . One key: hold it down, or tap twice for a longer session. Offloop polishes what you said and uses visible text from your current app when Screen Context is enabled. It adds nothing you did not say. Say it cleanly and it stays as you said it. Ramble, and it tightens. Only as much as it needs. useMemo , NavBar.tsx , max_retries , all spelled the way your code spells them. Backticks and snake_case in the editor. Plain sentences in Linear. Offloop drops the stutters and closes up the names it can see on your screen. Nothing else moves. so t T he use m M emo hook in n N av b B ar .…from offloop.work

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  DictatoFeb 2026 · dicta.to · ▲93

  I built a macOS dictation app where everything runs on-device. Transcription, auto-correct, translation. No audio or text leaves your machine. It ships with 4 transcription engines you can swap between: WhisperKit (99 languages), NVIDIA Parakeet TDT 0.6B (25 European languages, fastest of the bunch), Qwen3-ASR 0.6B (30 languages), and Apple Speech on macOS 26+. They all run through CoreML&#x2F;Metal. Whisper is the most versatile, Parakeet wins on raw latency for European languages, Qwen3 does better with CJK. I went with a protocol-based architecture so you pick the engine that fits your…

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  WalkieApr 2026 · trywalkie.com · ▲228

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  SaylineJan 2026 · sayline.app · ▲83

  I 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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  DictlyOct 2025 · dictly.app · ▲240

  TL;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:&#x2F;&#x2F;dictly.app • Mac App Store: https:&#x2F;&#x2F;apps.apple.com&#x2F;de&#x2F;app&#x2F;dictly-no-keys-just-clarity&#x2F;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&#x2F;field.…

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  Whisper Notes2025 · whispernotes.app · ▲115

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