Record pools and digital stores routinely distribute MP3-encoded audio inside WAV or AIFF containers — files that look lossless but aren't. On a good sound system, the difference is immediately audible. Finding them manually is slow and requires reading spectrograms one file at a time.
Spectro automates this. Drag a folder of tracks and get an instant verdict for each file: Lossless, Lossy, or Fake Lossless. The detection uses FFT spectral analysis to identify the frequency cutoff that lossy encoding leaves behind — a signature that survives re-wrapping in any lossless container.
Built as a maintained alternative to the abandoned Spek spectrum analyzer. $39 USD, one-time payment. No subscription. Free Trial of 25 tracks.
Features:

I play DJ gigs and kept getting burned by WAV files from record pools that were actually upconverted MP3s. The existing tool for catching this (Spek) hasn't been updated in years, and nothing else handled batch analysis automatically. Spectro gives you a verdict per file Lossless, Lossy, or Fake Lossless by detecting the spectral cutoff that lossy encoding leaves behind. Fully offline, so unreleased tracks stay private. Happy to answer questions about how the detection works or the macOS distribution setup.

I play DJ gigs and kept getting burned by WAV files from record pools that were actually upconverted MP3s. The existing tool for catching this (Spek) hasn't been updated in years, and nothing else handled batch analysis automatically. Spectro gives you a verdict per file Lossless, Lossy, or Fake Lossless by detecting the spectral cutoff that lossy encoding leaves behind. Fully offline, so unreleased tracks stay private. Happy to answer questions about how the detection works or the macOS distribution setup.
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