Get your DJ tracks club ready

Detect fake high-bitrate audio files by analysing spectral frequency cutoffs. Know exactly what quality you're working with before it hits the speakers.

Download for macOS

Performance

Core FFT analysis written in C with zero-allocation buffers. Wrapped in Swift for a native experience.

TonearmBenchmark

$ swift run TonearmBenchmark --all

Single File Analysis

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singleFile128kbps avg: 5.63ms min: 5.13ms max: 6.54ms mem: 9.8MB

└─ decode: 2.16ms fft: 0.07ms frames: 252

singleFile320kbps avg: 6.26ms min: 6.03ms max: 6.48ms mem: 10.9MB

└─ decode: 3.28ms fft: 0.07ms frames: 252

singleFileLossless avg: 18.85ms min: 18.51ms max: 19.56ms mem: 12.1MB

└─ decode: 18.30ms fft: 0.07ms frames: 252

Batch Processing (10 files)

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batchSerial avg: 69ms throughput: 144.1 files/sec

batchConcurrent avg: 22ms throughput: 453.3 files/sec

Spectrum Analysis

See exactly where your audio cuts off. Real spectrograms reveal the true quality hiding behind file metadata.

How it works

in under 60 seconds

Ready to Verify Your Audio?

Don't be the DJ playing clipped or low quality tracks on the club's system.

Download for macOS

Requires macOS 14 (Sonoma) or later