Turn your voice into polished text wherever you write on your Mac. Speech recognition and optional writing assistance run locally—no account, no cloud transcription, and no developer analytics.
The microphone stays off between dictations. It opens only after you explicitly start recording and closes when you stop.
Dictate a message, document, note, or prompt in the app where you already work. Speak Easy Privately handles the local transcription and keeps the finished text ready to paste.
Automatic detection keeps multilingual dictation simple, including conversations that move between languages.
Optional on-device writing models can improve punctuation and capitalization without sending your words away.
Choose your shortcut, language mix, recording indicator, personal vocabulary, and optional encrypted history.
Install once and start dictating with the approved speech and writing models already inside the app.
Install the compact app first, then choose which approved local models to download and keep on your Mac.
Both editions use the same local-first privacy architecture. Lite’s downloader retrieves model files only—it never uploads speech or text.
Speak Easy Privately uses macOS permissions for three clear jobs: capturing audio only after you start a dictation, recognizing your chosen shortcut, and pasting the result. The app and its local inference helpers operate inside the system-enforced macOS App Sandbox.
How the app protects your MacApple’s macOS App Sandbox restricts access to files, hardware, network connections, and other apps.
Audio and dictated text are processed on your Mac, not sent to an inference server.
Each permission supports one visible feature and can be revoked in System Settings.
Optional history and vocabulary use device-protected Keychain keys.
Speak Easy Privately brings the product experience, privacy boundaries, verification, and macOS integration together—but its local intelligence stands on years of openly licensed research and engineering. Without these projects and their contributors, this app would not be possible.
Meet the projects and contributorsThe multilingual speech foundation that turns audio into text locally.
Optional local models for conservative punctuation and capitalization.
The open software that makes efficient on-device inference practical.
