Whisper Notes: Highly accurate offline speech-to-text using the advanced Whisper AI model, running completely on your device for total privacy. Perfect for capturing those brilliant ideas during your daily walk, or use it as your go-to voice memo app.
Product Demo Video
Whisper Notes is a 100% offline AI transcription app for iPhone and Mac that converts voice recordings, meetings, lectures, and imported audio files into accurate text entirely on-device using OpenAI's Whisper Large V3 Turbo model processed by Apple Silicon's Neural Engine.
No internet connection is required, no audio is ever uploaded to the cloud, and no subscription is needed making it the privacy-first choice for transcription among professionals handling sensitive conversations.
The on-device processing architecture is Whisper Notes' defining characteristic: because all AI computation happens locally on the user's iPhone or Mac, transcription works in environments without reliable internet connectivity (airplanes, remote locations, conference rooms with blocked networks) and eliminates the security and privacy risks associated with cloud transcription services.
For lawyers, healthcare professionals, journalists, and executives transcribing confidential discussions, this offline guarantee is non-negotiable.
Transcription accuracy is a key selling point: Whisper Notes achieves 15-25% higher accuracy than built-in device transcription, with performance at 88-89% accuracy for domain-specific vocabulary including medical terminology and legal language.
This makes it suitable for demanding professional transcription use cases where the generic vocabulary of consumer transcription services produces too many errors in technical content to be useful without extensive manual correction.
Multilingual support spans 76 languages beyond English and Spanish, enabling use across diverse linguistic contexts without separate app purchases or language-specific subscriptions.
Users can record live voice input directly in the app or import existing MP3, M4A, and WAV audio files for transcription covering both real-time capture and post-hoc processing of previously recorded content from meetings, presentations, and interviews.
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