Audio Recognition

Identify Any Song from Audio

Upload a clip, sample, remix, or voice memo and let AI recognize the song. Get the title, artist, album, release details, and match confidence in seconds.

Song recognition for real-world audio

Find the track behind a clip, reference, remix, or mystery sample without leaving Vocuno.

Identify Songs from Files

Upload MP3, WAV, FLAC, M4A, AAC, OGG, or Opus and scan the audio fingerprint against a large music catalog.

Track and Artist Metadata

Get the song title, artist, album, cover art, release date, and match confidence when a match is found.

Works with Short Clips

Recognize tracks from samples, phone recordings, downloaded clips, or sections trimmed out of a longer file.

Fast Results

Most recognition jobs resolve in seconds, so you can move from unknown clip to usable reference without a manual search session.

Fits the Vocuno Workflow

Once you know what the track is, use it with stem separation, BPM detection, audio to MIDI, or the Studio for deeper production work.

Reference-Friendly Output

Keep track details attached to the recognition run so your references stay organized alongside the rest of your music workspace.

Upload or Import Audio

Drop a local file or use audio you already captured in Vocuno. The recognizer is built for messy creator workflows.

Private Workspace History

Recognition runs live in your Vocuno library, so you can revisit matches later without re-uploading the same file.

Recognize a Song in 3 Steps

Upload the audio, scan for a match, and save the result.

1

Upload Your Audio

Drag in a file or select an existing clip from your Vocuno workspace. Short clips and full tracks are both supported.

2

AI Scans the Fingerprint

Vocuno analyzes the audio and compares the fingerprint against known recordings to find the closest match.

3

Review the Match

See the title, artist, album, artwork, and confidence score, then continue into other Vocuno tools if you want to remix or analyze it.

Frequently Asked Questions

Vocuno creates an audio fingerprint from your uploaded clip and compares it against a music recognition catalog. If the recording is known, the tool returns metadata such as title, artist, album, artwork, and match confidence.

You can upload MP3, WAV, FLAC, AAC, M4A, OGG, Opus, and most common audio formats. Short clips, full songs, downloaded references, and voice memos are all supported.

Recognition works best when the audio contains a section close to the released recording. Heavy remixes, covers, live performances, or clips with loud background noise may return weaker matches or no match.

A clear 10 to 20 second section is usually enough. Longer clips can help when the intro is sparse or the audio has background noise.

If there is no reliable match, Vocuno marks the run as unmatched so you can try another section or a cleaner file. You are not forced into a false result.

Yes. After identifying the track, you can continue with BPM detection, stem separation, audio to MIDI, downloading, or Studio workflows depending on the audio you have rights to use.

Stop guessing what that track is

Upload the clip, identify the song, and keep the result in your Vocuno library for sampling, remixing, or reference work.