The Tagging Problem
You search for "Bicep" in your library and get zero results. You know you have three Bicep tracks. Turns out one is tagged as "BICEP", one as "Bicep feat. Clara La San", and one has no artist tag at all โ just a filename.
Bad metadata is the silent killer of DJ sets. Your library might be full of great tracks, but if you can't find them in 3 seconds, they might as well not exist.
What Tags Actually Matter
Not all ID3 fields are created equal. Here's what you should care about, ranked by importance:
Tier 1: Essential (Fill These for Every Track)
Title โ Clean, consistent, no junk
- โ
Glue - โ
Glue (Original Mix) [Beatport Exclusive] (1) - Remove
(Original Mix)unless there are other mixes to distinguish from - Remove store tags, numbering suffixes, file format indicators
Artist โ Consistent spelling and formatting
- โ
Bicep - โ
BICEP,bicep,Bicep UK - Use "feat." consistently (not "ft.", "featuring", "Feat.")
- For remixes, keep the original artist:
Artist - Track (Remixer Remix)
Genre โ Specific enough to be useful
- โ
Tech House - โ
Electronic(too broad),Minimal Deep Tech Progressive House(too specific) - Pick one genre per track. Don't try to tag every sub-sub-genre.
- Match the genres your DJ software uses for smart crates
BPM โ Let your software analyze this
- Don't set it manually unless the analysis is clearly wrong
- Rekordbox and Serato are 95%+ accurate
- Double-check tracks where the BPM seems off (half-time DnB often reads at 87 instead of 174)
Key โ Same: let software analyze
- Rekordbox uses the Camelot system (8A, 11B, etc.)
- Mixed In Key is the gold standard if you want accuracy
- Key detection matters for harmonic mixing โ learn more about why in our organized library guide
Tier 2: Very Useful (Fill When Possible)
Year โ When the track was released
- Helps you build decade-themed sets
- Useful for filtering "classics" vs "new releases"
Label โ The record label
- Handy when you're into a label's sound (Drumcode, Anjunadeep, etc.)
- Helps discover related tracks
Comments / Energy โ Your personal rating
- Use the comments field for energy level:
Energy: 7/10 - Or use star ratings if your software supports them
- This is the secret weapon for building sets by energy flow
Tier 3: Optional (Nice to Have)
- Album: Rarely matters for DJ sets
- Track Number: Doesn't matter
- Composer: Only if you care about songwriters
- Grouping: Some DJs use this for vibe tags (
dark,uplifting,vocal)
Tagging Workflow for New Music
Every time you download new tracks:
- Import to a staging folder โ not your main library
- Listen once โ confirm you want to keep it
- Clean title and artist โ remove junk, fix casing
- Set genre โ one clear genre
- Analyze BPM and key โ let your software handle it
- Rate energy โ quick 1-10 in comments
- Move to main library
This takes about 60-90 seconds per track. It saves you minutes of fumbling during live sets.
Bulk Tagging Tips
For large libraries that need cleanup:
- MP3Tag (Windows) or Kid3 (Mac/Linux) โ free, powerful tag editors
- MusicBrainz Picard โ auto-tags using an online database (great for title/artist cleanup)
- Use batch operations: select all tracks from the same genre, tag them at once
- Fix artist names in bulk: search for "BICEP", select all, change to "Bicep"
The Connection Between Tags and Duplicates
Here's a scenario that happens constantly: you have the same track with different tags. One copy says "Tech House", the other says "Minimal". One has the artist as "Fisher" and the other as "FISHER".
Filename tools won't catch this. Tag comparison tools won't either, because the tags are different. Only audio fingerprinting catches same-song-different-tags duplicates.
Common Tagging Mistakes
- Over-tagging genres. Pick the one genre that best describes the track. Don't use compound genres.
- Inconsistent featuring credits. Standardize on
feat.across your entire library. - Leaving download source in the title. Clean up
[Beatport],(Traxsource),FREEDL. - Not re-analyzing after converting formats. If you convert FLAC to MP3, re-analyze BPM and key โ some tools introduce slight timing shifts.
- Manual BPM entry. Human error rate on manual BPM is shockingly high. Trust the analyzer.
How CrateGuard Fits In
CrateGuard doesn't modify your tags โ it focuses on finding duplicates by audio fingerprint. But clean tags + zero duplicates is the one-two punch of a well-organized library. Deduplicate with CrateGuard, then tag your clean collection properly.



