Speak, tap, done. This app turns thoughts into tidy notes in seconds, so ideas move from mind to screen without friction. Fast capture, clean text, and simple export keep momentum high.
Built for real life. Dictate in a cab, a meeting, or mid-walk—punctuation by voice, quick edits, and autosave make every session dependable. Long recordings stay organized and ready to share.
Lightweight power. Launch from a widget, sync when online, and pick up where the last thought ended. Accuracy, speed, and clarity come together to turn voice into action.
It started with a simple goal: capture ideas anywhere, even without internet. The core engine was optimized to run locally, using on-device models and caching to keep transcription responsive and private during flights, subways, or low-signal zones. Edge cases like long pauses, background noise, and language switching were handled to keep results stable offline.
Access needed to be instant, so the flow was built around one-tap start from widgets, notifications, and lock screen shortcuts. Cold-start time was reduced, automatic session recovery was added, and autosave ensured nothing was lost if the app was closed or the phone locked mid-dictation. Everything important is reachable within a thumb’s stretch.
Sync was designed to be patient and smart: record offline, organize locally, and quietly sync when a connection returns. Lightweight exports, small incremental uploads, and conflict-safe merges keep notes consistent across devices without draining battery. The result is a fast, dependable experience that works first on the phone, then in the cloud.
Reliability was engineered from the UI outward: gesture-first controls, big tap targets, and haptic cues make start/stop unmissable in motion, while auto-resume and draft states protect work during interruptions like calls or app switches. Local queues handle retries and exponential backoff, so sync behaves politely with battery and bandwidth.
Privacy and accuracy were treated as core features, not add-ons. On-device processing keeps raw audio local whenever possible, while language packs and acoustic tuning improve recognition for varied accents and noisy scenes. When cloud assist is needed, uploads are incremental and encrypted end-to-end, with versioning to resolve conflicts cleanly.
