Compare Two Audio Files
Compare two audio clips and see a similarity percentage
Audio File 1
Drop first audio fileTap to choose first audio file
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Large files (over 50 MB) may take longer or run out of browser memory
Audio File 2
Drop second audio fileTap to choose second audio file
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Large files (over 50 MB) may take longer or run out of browser memory
About Compare Two Audio Files
Compares two audio files and shows how much of the sound matches, as a percentage, and where they differ — useful for checking whether two recordings are the same take, whether a recording was edited, or whether two files are duplicates despite different names or formats. Runs entirely in your browser — neither file is uploaded anywhere.
Upload two audio files and click Compare. Each is turned into a voice-and-sound fingerprint over time, leading and trailing silence is ignored, the two are lined up by start offset (shown as, for example, aligned by +0.50 s), and the matching parts are scored with loudness evened out. A strip shows second by second where file 1 matches file 2. Below it you can see both waveforms and their difference, play either file and flip between them at the same moment (with loudness matched), read a table of duration, loudness and peak, and save the difference as a WAV.
Being upfront about what this measures: it compares how the sound changes over time (the pattern of voices, notes and instruments), not exact bytes, and not a commercial fingerprint like Shazam. Volume, format, quality and steady background noise matter little. Different recordings of the same song or the same spoken text can score lower than identical copies. It checks the first 4 minutes of each file, and it is not forensic-grade.
Watch: Compare Two Audio Files in Action
- Is this an exact match like Shazam uses to identify songs?
- No, and it's worth being upfront about that — this is a real spectral/acoustic similarity comparison (frequency content and loudness pattern over time), not exact byte-for-byte or commercial audio-fingerprinting matching. Two different recordings of the same song will usually score high, and two completely different tracks will score low, but this isn't forensic-grade duplicate detection.
- Does it matter if the two files are different lengths?
- Not significantly — files of different lengths are compared on a normalized time basis, each divided into equal segments, so a shortened or extended version of the same audio can still score reasonably high.
How to use Compare Two Audio Files
Upload two audio files and click Compare. Both files are analyzed and divided into equal time segments, and each segment's frequency content and loudness pattern are compared between the two files to produce an overall similarity percentage. Files of different lengths are compared on a normalized basis (each divided into the same number of segments proportionally), so a slightly shortened or extended version of the same underlying audio can still score reasonably high rather than being penalized purely for a length difference.
When to use it
Useful for checking whether two audio files are likely the same underlying recording despite different filenames, formats, or minor edits — consolidating a folder of downloaded audio where duplicates might exist under different names, for instance. It's also useful for a rough comparison between a cover version and an original recording, or checking how similar two different takes of the same recording session actually sound to each other.
When not to use it
This performs a real acoustic/spectral comparison, but it's explicitly not commercial-grade audio fingerprinting (the kind of exact-match technology services like Shazam use) or forensic-grade duplicate detection — if you need a legally or technically authoritative determination that two audio files are identical, this tool's similarity percentage is a helpful signal, not that level of proof. For detecting copyrighted content matches specifically, a dedicated content-ID system built and licensed for that purpose is the appropriate tool, not a general similarity checker.
Tips for best results
If you're comparing files specifically to find duplicates in a larger collection, start with files that have similar file sizes or durations as your first candidates to check — while the tool does normalize for length differences, files of similar duration in the first place are statistically more likely to actually be duplicates than a very short clip compared against a very long one.
Limitations
Two genuinely different recordings that happen to share similar overall loudness and frequency characteristics (two calm acoustic tracks in a similar key and tempo, for instance) can occasionally score higher than expected on pure spectral similarity, even though they're not actually the same underlying audio — treat a high score as a strong signal worth listening to confirm, not an automatic guarantee of identity.
Privacy
Both audio files are analyzed entirely in your browser — neither file is uploaded to any server at any point in the comparison process.
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