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Whisper AI Transcription icon

Whisper AI Transcription

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Transcribe audio and video files in a blink, automatically, all offline, and with highly accurate results. AI Transcription uses OpenAI’s Whisper technology and Apple Speech Recognition to convert speech (like in podcasts, presentations, lectures, or voice messages) into text...

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License model

Platforms

  • Mac
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Features

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Properties

  1.  Ad-free
  2.  Privacy focused
  3.  No registration required
  4.  Works Offline
  5.  No Tracking
  6.  AI-Powered

Features

  1.  Video Transcription
  2.  Audio-to-text
  3.  Drag and Drop

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Whisper AI Transcription information

  • Developed by

    App ahead GmbH
  • Licensing

    Proprietary and Commercial product.
  • Pricing

    One time purchase (perpetual license) that costs $10.
  • Alternatives

    54 alternatives listed
  • Supported Languages

    • English
    • Chinese
    • French
    • German
    • Italian
    • Japanese
    • Korean
    • Portuguese
    • Spanish

AlternativeTo Category

Audio & Music

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Whisper AI Transcription was added to AlternativeTo by Paul on Oct 16, 2024 and this page was last updated Oct 16, 2024.
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What is Whisper AI Transcription?

Transcribe audio and video files in a blink, automatically, all offline, and with highly accurate results. AI Transcription uses OpenAI’s Whisper technology and Apple Speech Recognition to convert speech (like in podcasts, presentations, lectures, or voice messages) into text and subtitles.

Features • AI-powered audio-to-text converter • Just drag & drop: Transcription starts automatically • Supercharged by OpenAI’s Whisper and Apple Speech Recognition • Privacy by Design: Your audio never leaves your Mac. Everything is computed on-device, all offline. • User-friendly, lightweight design, yet powerful • Export transcriptions as plain text, CSV, SRT, and WEBVTT files • Timing: Split segments by words, sentences, duration • Supports input formats like MP3, WAV, CAF, AIFC, M4A, MP4

This app wouldn’t be possible without the work of Georgi Gerganov an his excellent port of OpenAI’s Whisper model in C/C++ (whisper.ccp)

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