Kekoso – On-device dictation and transcription for macOS

What it does

Dictate into any Mac app with a hotkey, transcribe audio, video and YouTube links, record calls, export SRT or VTT. Three engine families to pick from: Parakeet, Whisper and SenseVoice, all downloaded once and run on the Neural Engine. Nothing is uploaded, no account, no cloud fallback, and it keeps working with Wi-Fi off. $29 once, 3 Macs, 7-day trial. macOS 14.4+, Apple silicon.

Voice to text on your Mac: dictate into any app, drop in a recording or a YouTube link, record a call and get both sides as text, and hand your AI agents a transcription server that runs locally. One purchase — no cloud, no subscription, no account. macOS 14.4 or later · Apple silicon · $29 once, not per month · 7-day trial Quick note before the deposition: the client confirmed the timeline, so we can file on Thursday. Speech to text on a Mac usually means paying three or four services to cover it — one for dictation, one for calls, one for converting files, an API key for everything else. Kekoso does all four, and the voice recognition runs on hardware you already own. Press the hotkey,…from kekoso.app

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  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://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.…

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  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/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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  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…

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