Best tools for

The best auto-tagging tools for DJ libraries.

Tagging a big library by hand is the chore that never ends. Here is how the main auto-tagging tools compare, from taste-learning AI to rule-based cleanup to energy-level ratings.

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Tags applied for you, in a system you control.

The main options, compared.

Auto-tagging means different things in each tool: mood suggestions learned from your taste, rule-driven metadata work, general-library analysis, or energy levels next to keys. One pick, Vibes, is our product, so keep that in mind as you compare.

Option	Strengths	Trade-offs
Vibes Auto-TaggingBest for Mood and energy tags suggested from the audio, in your own categories	Suggests vibes straight from the audio on day one, then learns your picks Runs entirely on your machine: private, offline, no account Tags export as playlists and crates to Rekordbox, Serato, Traktor, and Engine DJ	Vibes is our product, so we are biased; the 14-day trial is free Suggestions sharpen after you have tagged a few dozen tracks yourself
LexiconBest for Rule-based organization and metadata repair at scale	Custom tags plus rule-based smart playlists A large toolkit for fixing messy metadata across a library Free tier for library conversion	Subscription from $9.99 per month; lifetime plans cost more upfront Vibe-style mood suggestions are not the focus
beaTunesBest for Analyzing and tagging a general music library cheaply	Mood tags plus computed color and timbre data Deep metadata inspection finds gaps and inconsistencies Around $35 one-time	Built around Apple Music and iTunes, not DJ software No direct export into Rekordbox, Serato, or Engine DJ
DjoidBest for Instant pre-trained tagging with no setup or training	AI labels energy, emotion, danceability, and genre out of the box Automatic BPM, key, and cue point detection included Tags feed its Graph Playlists and Scatter Map for set curation	Pre-trained categories; it does not learn your personal tagging system Subscription at 99 euros per year, and no Engine DJ database export
Mixed In KeyBest for Adding energy-level tags alongside trusted key detection	Energy ratings 1-10 written into your file tags Well-known key detection with the Camelot wheel One-time purchase, no subscription	Energy and key only; no custom mood categories Needs internet to analyze

Whichever you choose

Auto-Tagging inside Vibes.

Hit Auto-Tag and Vibes suggests vibes for a track straight from its audio, into categories you define. An on-device model then learns from every accept and reject, so the suggestions keep moving toward how you personally tag. Nothing leaves your machine.

See how Vibes fits your style

Vibes desktop app showing a library organized by vibes

What to look for in an auto-tagger.

What actually gets tagged

Mood and energy, metadata fields, or a single energy number are different outputs. Start from the tags you reach for when you build a set.

Who trains the model

Some tools apply fixed rules or general models; Vibes learns from your own tagging decisions. Decide whether you want an average taste or yours.

Privacy and where it runs

Auto-tagging can run locally or through a service. If your library staying on your machine matters, check before you commit.

Where the tags end up

Tags only pay off in the booth. Confirm they export into your DJ software as playlists, crates, or file tags your app can read.

One organized library, every app.

Vibes imports from and exports to Rekordbox, Serato, Traktor, and Engine DJ, so the software you pick is never a lock-in.

Track 001

Artist A

128

Afterhours

Mysterious

Introspective

Track 002

Artist B

124

Cozy Floor

Peaceful

Home

Track 003

Artist C

132

Rave

Aggressive

Festival

Build & Release

Playlists

Vibes

Mood

Aggressive

Euphoric

Melancholic

Mysterious

Peaceful

Playful

Tense

Function

Arrangement

Sets

Club Night 12/28

NYE Closing Set

Rooftop 01/04

Frequently asked questions

The honest answers, including the trade-offs.

Vibes (our product) if you want AI that suggests mood tags from the audio and learns your taste. Lexicon if your tagging is rule and metadata driven, Djoid for instant pre-trained labels, beaTunes for low-cost general-library tagging, and Mixed In Key if energy-level tags next to keys are all you need.

The tool analyzes each track's audio and predicts tags from it. Vibes goes a step further: an on-device model learns the link between how a track sounds and the vibes you give it, so its suggestions keep moving toward your taste rather than a generic average.

In Vibes, no. Suggestions only add vibes the model is confident about and skip anything already on the track, and you can retrain or reset the model whenever you want. Whatever tool you pick, check how it treats existing metadata before running it across a full library.

Methodology

How we keep this honest.

Reviewed by Ben Modigell, founder of Vibes and a working DJ in Cologne.

Verified against the source

Every claim about each app is checked against its official site and current pricing.

We own our bias

We make Vibes, a library tool, not DJ mixing software. The picks above are independent, and we recommend the app that fits you, not the one paired with us.

Live pricing

The Vibes price shown comes straight from our checkout, never a hardcoded marketing number.

Kept current

Last reviewed June 2026.