Audio Fake Detector PRO icon
Audio Fake Detector PRO icon

Audio Fake Detector PRO

Audio Fake Detector PRO analyses whether an audio signal genuinely contains the frequency content implied by its container bitrate.

Audio Fake Detector PRO screenshot 1

Cost / License

  • Free Personal
  • Proprietary

Platforms

  • Windows  Windows 10/11 (32-bit and 64-bit)
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Features

Properties

  1.  Lightweight

Features

  1.  Ad-free
  2.  No registration required
  3.  Dark Mode
  4.  Batch Editing
  5.  Portable
  6.  Lossless Audio
  7.  No Tracking
  8.  Command line interface
  9.  Lossless quality
  10.  Audio Analysis
  11.  Audio Conversion

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Audio Fake Detector PRO information

  • Developed by

    Unknown

  • Licensing

    Proprietary and Free Personal product.

  • Alternatives

    5 alternatives listed

  • Supported Languages

    • English

Our users have written 1 comments and reviews about Audio Fake Detector PRO, and it has gotten 1 likes

Audio Fake Detector PRO was added to AlternativeTo by AlessandroComito on and this page was last updated .

Comments and Reviews

   
AlessandroComito
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Version 6.6 released  What's new - Added WinForms window

What is Audio Fake Detector PRO?

Audio Fake Detector PRO analyses whether an audio signal genuinely contains the frequency content implied by its container bitrate.

Files are processed using FFmpeg (decoding to standardized PCM) and ffprobe (metadata extraction such as codec, bitrate, and stream parameters) as a preprocessing step.

It is designed to detect fake high-bitrate lossy files, such as MP3 audio upsampled or re-encoded to appear as 320 kbps, as well as lossy material (MP3/AAC) placed inside lossless containers (FLAC, WAV) to simulate higher quality.

The signal is split into multiple non-final analysis segments plus one terminal segment. Each segment is analysed independently via STFT-based spectral inspection. A majority-based voting system aggregates segment-level results into a single file-level classification. Lossless files are additionally validated through statistical PCM analysis using auCDtect.

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