Offscript: Private Voice Memos

Voice notes that never leave your device. Record, transcribe, search, and stay organized — all processed on iPhone. Your thoughts, locked behind Face ID.

Offscript turns your voice into organized, searchable notes — entirely on your device.

Speak naturally. Offscript transcribes your recordings using an on-device AI model, so your words never touch a server. No account required. No subscription needed to use the core features.

Record anything, instantly One tap starts a recording. Capture meeting notes, ideas on a walk, book summaries, reminders — anything worth keeping. Recordings are saved and encrypted automatically.

Transcription that stays private Offscript runs Whisper on your iPhone. Your audio is processed locally, transcribed locally, and stored locally. Nothing is sent to the cloud.

Search by meaning, not just words Semantic search understands what you meant, not just what you typed. Find the note about "the product launch timeline" even if you said "ship date" when you recorded it.

Stay organized with tags Create color-coded tags and filter your notes instantly. Assign multiple tags to a single note to keep projects, ideas, and follow-ups easy to scan.

Summaries and action items Offscript can generate a concise summary and extract action items from any transcript — so you can capture a long meeting and get the key points without re-reading everything.

Protected by Face ID Every time you open Offscript, it requires biometric authentication. Your notes are AES-256 encrypted at rest and locked behind your face or fingerprint.

Export and back up your notes Share individual notes as plain text or Markdown. Create an encrypted backup of your entire library — notes, tags, and audio recordings — and restore it on any of your devices.

Offscript requires a device with a passcode or biometric lock enabled. Transcription requires a one-time model download on first launch (~70 MB). All processing happens on-device.

Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/