pre-gig quality control · Serato / Rekordbox

Catch Suspicious Files Before They Hit the Booth

Spectro is a local Mac audio quality checker for DJs. Scan new tracks before Rekordbox, Serato, or Traktor prep; flag suspicious fake-lossless files; and keep risky downloads out of your performance USB.

In short

Pre-gig on Mac: batch scan your Serato or Rekordbox set folder offline with Spectro and read the automatic LOSSLESS / FAKE / MEDIUM verdict first. Then review MEDIUM cutoffs if needed. Spectro is built for this DJ library check before USB export — 100-track free trial.

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Who this is for

  • - Touring and club DJs with libraries built from multiple sources over years.
  • - Open-format DJs who receive promos and Soundcloud rips they didn't download themselves.
  • - Artists preparing for high-pressure sets where a bad track isn't an option.
  • - DJs who've had playback issues at the club and want to rule out audio quality as the cause.

What Spectro does

  • - Fast verdicts for large folders and playlists on macOS.
  • - Filter by FAKE, MEDIUM, and LOSSLESS to prioritize fixes.
  • - Finder tags to spot risky files outside the app.
  • - Spectral cutoff diagnostics as evidence for faster replacement decisions.

DJ quality-check workflow

  1. 1. Before importing to Rekordbox, Serato, or Traktor: scan the download folder and keep FAKE or MEDIUM verdicts out of your main library until reviewed.
  2. 2. Before exporting USBs or playlists: run Spectro on the final set folder so suspicious files are caught before the booth, not after soundcheck.
  3. 3. After buying promos, pool tracks, or store downloads: check WAV, AIFF, and FLAC files locally before trusting the label or file extension.

Before importing

Scan new folders before they enter Rekordbox, Serato, or Traktor. Keep suspicious files in quarantine until you can replace or approve them.

Before USB export

Run a final pass on the exact playlist or export folder. Finder tags make risky files visible before they reach the booth.

After downloads

Check promo, pool, Bandcamp, and store downloads while the purchase is fresh, so replacements are easier to request.

Spectral evidence, not a magic guarantee

Spectro looks for spectral evidence such as hard high-frequency cutoffs, clipping, and other signals that make a file suspicious. That evidence helps you prioritize what to replace, but it cannot prove the original master provenance or guarantee how a track will sound on every club system.

Use the verdicts as a library triage layer, then still listen to key tracks and buy or request replacements from trusted sources when quality matters.

Frequently asked questions

How can DJs check audio quality before a gig?

DJs can scan new tracks locally before importing or exporting playlists, then review suspicious files for spectral cutoffs or artifacts that suggest a lossy source. Spectro is built for this pre-gig library check on macOS.

Does Spectro replace listening tests?

No. Spectro helps flag suspicious audio files, but DJs should still listen for audible problems and verify important purchases or promos from trusted sources.

How long does it take to scan a set folder?

Spectro processes files in parallel. A typical set of 50–100 tracks takes under a minute on modern Apple Silicon hardware. Larger libraries of several hundred tracks usually complete in 2–5 minutes.

What formats does Spectro check?

WAV, AIFF, FLAC, MP3, and AAC. All common DJ formats are supported. Spectro checks the actual spectral content, not just the metadata.

What should I do with MEDIUM verdict tracks?

MEDIUM means the file is likely a high-quality lossy encode (256–320 kbps) in a lossless container. It's not ideal but it's not a crisis. Flag it, decide if the track is important enough to replace from a trusted source, and move on.

Does this work with Rekordbox, Serato, and Traktor libraries?

Spectro works on the files directly, independent of your DJ software. Scan the folder before importing, or scan an existing library folder. Spectro writes Finder tags so risky tracks are visible in any workflow.

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