
Onit is a free, local, and privacy‑first AI speech‑to‑text app for macOS, designed for users who want accurate transcription without sending audio to the cloud. Running directly on your Mac, Onit leverages on‑device models to convert spoken words into text in real time or from recordings, keeping your sensitive conversations, meetings, and notes securely stored on your own machine. With a clean, keyboard‑friendly interface, Onit fits naturally into your daily workflow. Use it to dictate emails, capture meeting minutes, transcribe lectures, or turn quick thoughts into searchable text—without worrying about internet connectivity or third‑party data collection. Because processing happens locally, latency is low and performance is consistent, even on unstable networks. Onit focuses on simplicity: no complicated setup, no accounts, and no subscriptions. Download, install, and start speaking—your words appear instantly in the app or can be copied into any document, note‑taking tool, or editor. Whether you’re a knowledge worker, student, content creator, or developer, Onit helps you move faster by letting you think out loud and stay in the flow. Built specifically for macOS, Onit embraces native conventions and system permissions, giving you transparent control over microphone access and data storage. If you’ve been looking for a speech‑to‑text solution that respects your privacy, works offline, and just gets out of the way, Onit is a lightweight yet powerful companion for voice‑driven productivity on the Mac.
Capture meeting notes in real time while you and your team speak, then clean up the text and share minutes immediately.
Dictate emails, documents, or reports hands-free to reduce typing fatigue and speed up everyday writing.
Transcribe lectures, interviews, or podcasts on your Mac so you can search, quote, and repurpose spoken content.
Use Onit as a personal voice notebook to quickly record ideas, to‑dos, and research notes without breaking your focus.
Assist accessibility needs by turning spoken language into readable text for reference and documentation.