Whisperkit

On-Device AI Transcription

Free · Designed for iPad. Not verified for macOS.

New: Speech analysis shows the pace, pauses, pitch and loudness of any recording. Plus live transcription and translation. All on your iPhone, all private. Whisper turns speech into accurate text — entirely on your device. Powered by Apple's Neural Engine and an open-source multilingual speech recognition model, Whisper transcribes audio recordings, voice memos, lectures, meetings, podcasts and videos directly on your iPhone. Nothing is uploaded. Nothing is tracked. No accounts. New: make music (beta). Describe a song — style, mood, instruments, even lyrics — and Whisper composes it on your device. KEY FEATURES • On-device transcription — your audio never leaves your iPhone • Record audio directly in the app, import files from Files, iCloud or Photos, share audio from other apps, or paste a link to an audio or video file • Supports many languages including English, Chinese (Simplified or Traditional), Spanish, French, German, Japanese, Korean, Russian, Portuguese, and Italian — plus auto-detection • Real-time progress with live segment-by-segment streaming • Multiple model sizes — pick speed or accuracy to match your needs • Performance monitor shows CPU, memory and Neural Engine usage in real time • Works offline once a model is downloaded • Keeps working in the background while you use other apps • Copy or share transcripts with one tap • Beautiful, modern interface designed for iOS and iPadOS MAKE MUSIC (BETA) • Describe the music and Whisper composes it on your device • Add lyrics to have them sung, in many languages • Fuller arrangement turns a short idea into a full band • Every song is kept with its prompt and lyrics, to play, share or make again WHY ON-DEVICE MATTERS Most transcription apps send your audio to a server. Whisper does not. Your meetings, voice notes, interviews and personal recordings stay private because everything runs locally on your iPhone's Neural Engine. • No accounts to create • No subscriptions, no ads • No analytics or tracking SDKs • Works in airplane mode after the first model download • Safe to use with confidential and sensitive recordings PERFECT FOR • Journalists transcribing interviews • Students capturing lectures • Professionals transcribing meetings • Podcasters generating show notes • Writers dictating drafts • Anyone who values privacy Whisper is open speech recognition done right — fast, accurate, and yours alone.

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New in 1.3.1 • Speech analysis: open any transcript to see how it was said. Your pace and how it changed, the pauses, the voice's pitch and intonation, its loudness against the background noise, a spectrogram, who spoke for how long, hesitations and the words used most. Tap the spectrogram or a pause to listen from there. • Smoother long recordings: Live and Transcribe stay quick however long you talk, and the library scrolls smoothly through long transcripts. • Deleting a transcript now also deletes its recording, wherever you delete it from. • Feedback: tap ? on any tab, then report a problem on GitHub or email the developer, with your app version and device already filled in. As always, everything happens on your iPhone.

The developer, chienchung Yu, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary based, for example, on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    Seller
    chienchung Yu
    Size
    27.2 MB
    Category
    Productivity
    Compatibility
    Requires iOS 18.5 or later.
    • iPhone
      Requires iOS 18.5 or later.
    • iPad
      Requires iPadOS 18.5 or later.
    • Mac
      Requires macOS 15.5 or later and a Mac with Apple M1 chip or later.
    • Apple Vision
      Requires visionOS 2.5 or later.
    Languages
    English
    Age Rating
    4+
    Copyright
    © 2026 Yu Yao-Hsing