AudioTag: The Definitive Guide (What It Does, and What It Can't Do in 2026)

If you searched "audiotag," you're probably trying to figure out what the service actually does, whether it's still around, or whether it can help you organize and describe your own music catalog. This guide covers all three: what AudioTag (audiotag.info) is, what it's genuinely useful for, and where you need a completely different category of tool if you're a musician, producer, or library owner managing your own tracks.

What Is AudioTag?

AudioTag, hosted at audiotag.info, is a free online song-recognition service. AudioTag.info is a free music recognition service that allows identifying almost any unknown piece of music recording easily by means of a sophisticated proprietary audio fingerprinting algorithm. In practice, you upload a clip and the service matches it against a database of known recordings to tell you the title, artist, and album.

The mechanics are straightforward. After you upload an audio file, it is analyzed by the underlying audio engine, and during recognition, an audio fingerprint is extracted from the acoustic content and identified using a fingerprint matching algorithm against a large database of music fingerprints. The optimal duration is 15-45 seconds, and the robot analyzes up to 5 minutes from the beginning of the audio. It also handles video sources: the robot recognizes music directly from YouTube.com, Coub.com, YouTu.be, and similar sites.

The underlying database is large. The music database size runs to roughly 47 million tracks, 11.3 million albums, and 2.3 million artists. And critically for hobbyists: the service is absolutely free for non-commercial use.

What AudioTag Is Actually Good For

AudioTag solves one narrow, useful problem: "what song is this?" If you've got an old cassette digitized to a low-quality file, a mystery clip from a video, or a snippet someone sent you, AudioTag will try to identify it against its fingerprint database. Your audio fragment can be in almost any file format and of almost any quality, as long as it's aurally recognizable, it can be an MP3 downloaded from the internet or a short recording digitized from an old tape recorder. Format support is broad too: uncompressed WAV, ADPCM, MP3, Ogg Vorbis, FLAC, Flash Video, AMR, MP4, and many more file formats are supported.

Third-party reviews land on the same conclusion. AudioTag is a reliable and straightforward tool for online music recognition, with its strength lying in simplicity, effective use of acoustic fingerprinting, and accessibility as a web service, though it lacks the extensive features found in more comprehensive music applications. That's the honest summary: it's a recognition robot, not a metadata or cataloging system.

Where AudioTag Falls Short for Musicians and Producers

Here's the problem most people searching "audiotag" actually run into: they don't need to identify a mystery song, they need to describe and organize their own original tracks. AudioTag can't help with that at all, and it was never built to.

AudioTag's fingerprinting only works against tracks already in its database of released, previously catalogued recordings. It has no way to analyze an unreleased demo, a stem, or an unmastered mix and tell you its BPM, musical key, genre, mood, instrumentation, or vocal characteristics, because there's no prior fingerprint to match against. Comparisons to dedicated tagging software confirm this gap directly: compared to desktop software focused on library management and tagging, AudioTag is much simpler and focused purely on identification.

If you're a composer prepping a catalog for a sync library, a producer organizing hundreds of unreleased beats, or a label owner who needs consistent metadata across thousands of files, AudioTag simply isn't in that lane. You need a tool that listens to your audio directly and generates descriptive metadata from the signal itself, not one that looks up a title in a database of already-released songs.

AudioTag vs. AI Music Tagging: Two Different Jobs

It helps to separate these into two distinct categories:

• Recognition tools (AudioTag, Shazam, SoundHound, ACRCloud) answer "what is this song, and who made it?" They rely on matching a fingerprint to existing catalogued recordings.
• Analysis and tagging tools answer "what does this song sound like, and how do I describe it for licensing, streaming, or organization?" They work on original or unreleased audio you own, extracting BPM, key, genre, mood, instruments, and structure directly from the waveform.

This is the category TrackTag operates in. Rather than matching your file to a database entry, TrackTag Studio batch audio analyzer listens to each track and returns over 30 fields, BPM, key, genres, subgenres, moods, emotions, themes, occasions, instruments, vocals, song structure, production notes, and a full written description, whether the track has ever been released anywhere or not. For a deeper breakdown of how this differs from other identification and fingerprinting-style services, see our guide to AudioTag alternatives for catalog tagging.

How to Properly Tag a Catalog (BPM, Key, Mood, Genre)

If your actual goal is organizing your own music, not identifying someone else's, here's the practical workflow:

1. Batch-analyze first. Instead of tagging tracks one at a time, run your whole folder through a batch analyzer so every file gets consistent fields. Our guide to batch-tagging music files walks through the process end to end.

2. Get BPM and key from the actual signal, not a guess. TrackTag Studio's Precision Mode measures BPM and musical key directly from the audio on-device, benchmarked at 15/15 tempo agreement against the leading industry analyzer. Read more on how AI-based BPM and key detection actually works.

3. Export in the format your workflow needs. Whether you're feeding a DAW, a spreadsheet, or a submission portal, export the whole batch, a hand-picked subset, or one file per track as TXT, CSV/Excel, XML, JSON (including schema.org JSON-LD), Markdown, or PDF.

4. Track what's done and what isn't. Connect a local folder with My Library to see which tracks are tagged and which still need attention, sorted by any column.

5. Prep for submission or licensing. If the end goal is a sync library or catalog submission, check our guides on tagging music for sync licensing and preparing a catalog for library submission, both processes depend on consistent, accurate metadata from the start.

Choosing the Right Tool for Your Situation

If you genuinely need to identify an unknown recording, a clip from a video, an old tape, a song stuck in your head, AudioTag's free fingerprinting service is a reasonable first stop, with the caveat that results depend entirely on the track already existing in its database.

If instead you're sitting on a folder of your own tracks that need real, structured metadata, for pitching to sync libraries, organizing a growing catalog, or feeding a distributor's required fields, you want an analyzer built for that job. Pricing matters here too: packs start at $20 for 50 tracks, with an Unlimited plan at $49/month using your own Google AI key, running 3-6x cheaper than the AIMS API and without the €290/month floor that comes with Cyanite. See the full breakdown in our AI music tagging pricing comparison, or check direct comparisons at TrackTag vs. Cyanite and TrackTag vs. AIMS.

For a quick single-track test before committing to a batch job, the free tag generator on the TrackTag homepage gives you an instant sense of the output quality. When you're ready to move past one-off checks and tag your catalog with TrackTag Studio at scale, that's where the batch tool takes over.

Frequently Asked Questions

Is AudioTag the same as a music tagging tool?

No. AudioTag identifies already-released songs via acoustic fingerprinting. It doesn't generate descriptive metadata like BPM, key, genre, or mood for original or unreleased audio.

Can AudioTag tag my own unreleased tracks?

Only if those tracks are already in its fingerprint database, which unreleased or original work generally isn't. For your own catalog, you need an analyzer that reads the audio signal directly rather than matching it to existing recordings.

Is AudioTag free?

Yes, the service is free for non-commercial use. Commercial or catalog-scale metadata needs are a different use case entirely and call for dedicated tagging software.