Audio Comparison

Audio Comparison Tool — MFCC, Spectrogram & Waveform

Upload two audio files and DiffALL compares them using the same psychoacoustic features used in speech recognition. See the mel spectrogram difference and the exact second each divergence starts.

Try DiffALL free — no sign-up needed
MFCC
Mel-frequency cepstral coefficients
Per-sec
Second-by-second breakdown
8 formats
Supported audio types

What DiffALL measures

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MFCC Similarity

Mel-Frequency Cepstral Coefficients capture the timbral fingerprint of a sound — the same features used in speech recognition and music retrieval.

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Spectral Centroid

Measures the perceived 'brightness' of each file — detects EQ changes, high-frequency roll-off, and tonal shifts.

RMS Energy

Root Mean Square energy comparison detects loudness normalisation differences, dynamic range compression, and volume automation.

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Mel Spectrogram

Side-by-side mel spectrograms and a JET-coloured difference map let you see frequency-over-time divergences visually.

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Per-Second Breakdown

MFCC similarity charted second by second — spot the exact moments two audio files diverge.

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In-Browser Playback

Play both files directly in the browser alongside their analysis — no download needed.

Supported formats

MP3 WAV FLAC AAC OGG M4A OPUS WMA

Use cases

Podcast QA

Compare the raw recording to the edited version to confirm only the intended cuts were made.

Music Mastering

Verify a mastered track against the mix to quantify what the mastering chain changed.

Encoding Tests

Compare a lossless FLAC to an MP3 or AAC encode to measure quality loss at different bitrates.

Voice Clone Detection

Detect whether two voice recordings share the same speaker by comparing MFCC profiles.

Frequently asked questions

How do I compare two audio files for differences?

Upload any two audio files to DiffALL. It resamples them to a common rate, computes MFCC, spectral centroid, and RMS energy similarity, and displays mel spectrograms with a difference overlay.

What audio formats does DiffALL support?

MP3, WAV, FLAC, AAC, OGG, M4A, Opus, and WMA. Files up to 100 MB each.

What does the MFCC similarity score mean?

MFCC similarity is a correlation coefficient from 0 to 100%. 100% means the timbral content is identical. Scores above 90% suggest the files are perceptually very similar; below 70% indicates significant tonal differences.

Can DiffALL compare audio at different sample rates?

Yes. Both files are resampled to a common rate (capped at 22,050 Hz) before comparison, so sample rate differences don't affect the result.

Ready to compare audio?

Free, no install, no sign-up required for your first comparison.

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