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개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Open-source voice dictation for macOS — local Whisper STT, optional LLM cleanup, native text injection into any app
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Voice dictation for macOS that runs on your Mac. Hold a key, speak, and the text appears in whatever field you're typing in, cleaned up by a local AI model. No word limits, and nothing leaves your Mac unless you choose the optional cloud cleanup with your own OpenRouter key.
Apple Silicon only.
Utter-<version>-arm64.dmg from Releases, open it and drag Utter into Applications.Nothing else to install: the speech engines (Phonon and WhisperKit) and the cleanup engine (mlx-lm) ship inside the app. The first run downloads the models, with progress shown in Settings: about 160 MB for speech (646 MB if you dictate in a language Phonon doesn't cover, such as Hindi), and 1.7 GB (English) or 4.3 GB (other languages) for cleanup.
After rebuilding and reinstalling, macOS may ask for Accessibility again.
Building needs Homebrew's whisperkit-cli (copied into the app) and uv (fetches the bundled Python, with mlx-lm and Phonon's fermion-research, minus the PyTorch it only needs on other platforms):
brew install whisperkit-cli
npm install && npm run make
npm run make runs scripts/build-engines.sh and writes out/make/dmg/arm64/Utter-<version>-arm64.dmg.
Settings, history and your dictionary are in the app window: click the menu-bar icon → Open Utter. Data is kept in ~/.dictateai (readable only by you).
Settings → Speech model → Automatic picks by your dictation language:
| Language | Model | Download |
|---|---|---|
| English | Phonon-2 | 158 MB |
| Auto-detect, and 24 other European languages (French, German, Spanish, Russian, Ukrainian…) | Phonon-2.5 | 156 MB |
| Everything else (Hindi, Arabic, Japanese, Chinese…) | Whisper Large v3 Turbo | 646 MB |
Phonon transcribes 7.6 seconds of speech in about 0.15 s on an M-series Mac, and the words in your dictionary are passed to it as hotwords, so it favours your spellings of names and terms. Auto-detect only hears Phonon-2.5's languages; to dictate in Hindi, choose Hindi. Settings can also run Whisper (Small or Large v3 Turbo) for every language.
Phonon-2 and Phonon-2.5 are by Fermion Research, derived from NVIDIA's Parakeet TDT 0.6B v3, and released under CC-BY-4.0. They run through the fermion-research package (Apache 2.0).
npm run build:engines && npm start
Set UTTER_DEBUG=1 to log dictated text; by default logs show only its length.
npm test runs the unit tests (Node 23.6 or later, which runs TypeScript directly). The start and stop sounds are generated by npm run build:sounds.
The landing page, utter.blinkwiser.com, is site/: one static page, plus two small Vercel functions that look up the newest release on GitHub. /download sends visitors to its .dmg, and the page's buttons show its version and size. To host it on Vercel, import the repository and set Root Directory to site (framework preset: Other, no build command). Elsewhere, the page still works and its buttons open the Releases page. An optional GITHUB_TOKEN environment variable raises GitHub's limit of 60 lookups an hour, which the 10-minute cache rarely reaches.
Utter was called DictateAI until October 2026. Its data folder (~/.dictateai) and bundle ID keep that name, so settings, history, models and macOS permissions carry over.
How this version was built, and why: docs/sessions/2026-10-18-session.md.