Whisperkit

生產力工具

免費 · 專為 iPad 設計。尚未針對 macOS 驗證。

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.

  • 5.0
    (滿分 5 顆星)
    1則評分

Version 1.2 adds music, new ways to bring in audio, and work that keeps going when you leave the app. MAKE MUSIC (BETA) A new Music tab turns a description into a song, made entirely on your device. Describe the style, mood and instruments, add lyrics if you want it sung (in the lyrics box or right in the description), and say how long it should be. Fuller arrangement fills out a short idea with bass, drums and a build. Every song is kept with its prompt and lyrics, ready to play, share or make again. Music is in beta: results vary from take to take, and the first song downloads the music model (about 9 GB). MORE WAYS TO TRANSCRIBE • Share to Whisper: share an audio or video file from Voice Memos, Files or Mail, and it opens here ready to transcribe. • Transcribe a link: paste a link to an audio or video file, and Whisper downloads and transcribes it. • Traditional Chinese output for Chinese transcripts. KEEPS GOING IN THE BACKGROUND On iOS 26 and later, transcriptions, downloads and music keep running when you switch apps, with their progress shown by iOS. ALSO • A "?" on each tab explains how everything works. • The GPU is available for every model, with a note on the trade-off where it matters. • Many fixes and refinements. Everything still runs on your device. No account, no analytics, and nothing you record, type or create leaves your iPhone or iPad.

開發者chienchung Yu指出App的隱私權實務可能包含下方描述的資料處理。如需更多資訊,請參閱 開發者的隱私權政策 。

  • 不收集資料

    開發者不會從這個 App 收集任何資料。

    依據你使用的功能或你的年齡等因素,隱私權實務可能有所不同。 更多內容

    開發者尚未表示此 App 支援的輔助使用功能。 進一步瞭解

    供應商
    chienchung Yu
    大小
    25.1 MB
    類別
    生產力工具
    相容性
    需要 iOS 18.5 或以上版本。
    • iPhone
      需要 iOS 18.5 或以上版本。
    • iPad
      需要 iPadOS 18.5 或以上版本。
    • Mac
      需要 macOS 15.5(或以上版本)以及配備 Apple M1(或以上版本)晶片的 Mac。
    • Apple Vision
      需要 visionOS 2.5 或以上版本。
    語言
    英文
    年齡分級
    4+
    版權
    © 2026 Yu Yao-Hsing