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Open-source dictation app for macOS and iOS. Tap once to start, tap again to stop — text pastes wherever your cursor is. Apple Speech runs locally; optional self-hosted STT and LLM polish via your own infrastructure. Built by NexAgent.
Get VoiceInput on GitHubVoiceInput is a fast, privacy-respecting dictation utility that turns your voice into text in any app — Notes, Messages, terminals, IDEs, browsers, even native dialogs. On macOS, hold Fn+Ctrl, speak, release: a streaming partial transcript appears next to the menu-bar mic; the final text pastes into whatever you were typing in. On iOS, install the VoiceInput keyboard extension, tap the mic button, and the iFlytek/Gboard-style container-app bounce captures and transcribes your audio, then pastes back into the host field. Apple's on-device speech recognizer powers the default flow — fully offline, free, no API key. For production-grade accuracy you can swap in a self-hosted Qwen3-ASR or OpenAI-compatible Whisper endpoint. An optional LLM refiner cleans up homophone errors and (in Polish mode) restructures long dictation into paragraphs and bullet lists.
Built for engineers, writers, and clinicians who type all day and want voice without compromise.
Trigger
Press F5 or globe key once, then speak — gates UI
STT Engine
Apple-only, no swap option
Privacy
Closed-source pipeline; varies by vendor
LLM Polish
None — raw recognition output
Trigger
Hold Fn+Ctrl on macOS / tap once on iOS — invisible to host app
STT Engine
Apple Speech default; pluggable Cloud STT (Qwen3-ASR / Whisper)
Privacy
Open-source, MIT licensed; STT can run 100% on your hardware
LLM Polish
Optional self-hosted LLM polish (paragraph + bullet structuring)
Yes. The macOS app and iOS keyboard are both open source under MIT license. You can self-host the STT and LLM endpoints if you want, or use Apple's free on-device speech recognition. There's no subscription, no telemetry, no account required.
Yes. The default macOS configuration uses Apple's on-device SFSpeechRecognizer — fully offline, supports Chinese, English, Japanese, Korean and more. Cloud STT (for higher accuracy or multilingual scenarios) is optional and points at any OpenAI-Whisper-compatible endpoint of your choice.