Guide
Music Metadata Management for Sync and Licensing
Marc Aaron Jacobs
Founder, DropCue · Composer
Metadata is the least interesting part of the job and the most expensive to get wrong. A cue with no BPM never surfaces in a search, and a cue with no split sheet never pays out correctly. Here is how to manage it without losing a week.
Who this is for
Composers, publishers, and libraries who have more tracks than they can remember. Anyone who has searched their own catalog for "that upbeat one from the car commercial" and failed to find it. Sync agents preparing a catalog for supervisor search. Publishers cleaning up an inherited catalog with inconsistent tagging.
Especially relevant if you are past roughly 500 tracks, which is the point where memory stops working as a filing system.
The audience-specific reality
Metadata does two separate jobs, and people usually only think about the first one.
Job one is retrieval. A supervisor asks for 90 to 100 BPM, minor key, no vocal, something tense. If your catalog does not carry BPM, key, mood, and instrumentation as structured fields, you cannot answer that in under an hour, so you send your usual twelve tracks and hope. Every track without tags is effectively invisible.
Job two is payment. Writer splits, publisher splits, PRO affiliations, IPI numbers, and ISRCs decide who gets paid when a cue airs. That data is boring right up until a cue lands in a network show and the cue sheet is wrong. Then it is a year of chasing.
The failure mode for both is the same: metadata gets entered inconsistently, by different people, at different times, in freetext fields. Six months later "Hip Hop", "hip-hop", and "HipHop" are three different genres and none of them filter correctly.
Why DropCue fits this workflow
Structured fields instead of freetext. Genre, mood, key, BPM, and instruments are real fields with autocomplete rather than open text boxes, so the catalog stays consistent as it grows. Mood and instruments are multi-select chips, because a cue is rarely just one mood.
Bulk editing for the cleanup problem. Select a range of tracks and apply changes across the selection rather than opening each track. Shift-click selects a range and command-click toggles individual tracks, so re-tagging an inherited catalog is a session rather than a month.
Track defaults for the entry problem. Set your standard artist, writers, publishers, PRO, and IPI once, then apply them at upload. Metadata embedded in the file still wins where it exists, so the defaults fill gaps instead of overwriting good tags. This is the difference between tagging 400 tracks and tagging one.
Filtering that uses the tags. BPM range, key, genre, mood, and date filters run server-side against the catalog, so answering a brief means filtering rather than remembering. The filtered result becomes a shareable playlist in one step.
Splits live on the track as structured rows. Each writer row carries name, role, split percentage, PRO, and IPI. Each publisher row carries the same. Attach the split sheet as a document on the track and the whole rights picture sits in one place.
The features that matter most
✓ Structured genre, mood, key, and BPM fields
Autocomplete and chip selection keep tagging consistent, so "hip-hop" and "Hip Hop" do not become two genres that each filter to half your catalog.
✓ Bulk select and edit
Shift-click a range, command-click to toggle, then apply changes across the selection. Cleaning up an inherited catalog becomes an afternoon.
✓ Track defaults on upload
Standard artist, writers, publishers, PRO, and IPI apply automatically to new uploads. File-embedded metadata still takes precedence.
✓ Server-side filtering by BPM, key, genre, and mood
Answer "90 to 100 BPM, minor, no vocal, tense" by filtering rather than by memory, then share the filtered result as a link.
✓ Structured writer and publisher splits
Splits carry name, role, percentage, PRO, and IPI as fields, so cue sheet data comes from the same place it was entered.
✓ Document attachment per track
Split sheets, licenses, and metadata PDFs attach to the track itself and are still findable two years later when the cue airs.
Names you may know in this space
ASCAP
US performing rights organization. Writer IPI numbers and PRO affiliation recorded in your metadata are what make an ASCAP cue sheet resolve to the right payee.
BMI
The other major US PRO. Splits that disagree between your catalog and the cue sheet are the usual cause of a registration dispute months after a cue airs.
Cyanite
AI audio tagging service that auto-detects mood, genre, and instrumentation. Evaluated for DropCue and rejected on cost at current scale, which is why tagging here is structured manual entry rather than automatic.
Soundminer
Metadata-driven search tool standard in post-production sound libraries. A useful reference point for how much retrieval improves once every asset carries consistent structured tags.
Pricing for this audience
Metadata management is part of the core product rather than an add-on, so it is included on every plan including Starter at $5 a month annually for 500 tracks. Catalogs past 500 tracks move to a Pro tier starting at $15 a month for 1,000. Publishers wanting the royalty tracker and agreement generator on top move to Studio from $29 a month.
Frequently asked questions
Can I bulk edit metadata across many tracks at once?
Yes. Select tracks with shift-click for a range or command-click for individual toggles, then apply changes across the selection. This is the practical path for cleaning up an inherited or inconsistently tagged catalog.
Does DropCue detect BPM and key automatically?
There is an auto-detect button on the track detail page, but it is offered as an editable suggestion rather than as truth. Automatic key detection in particular is not reliable enough to trust blindly, so it was deliberately removed from the upload path. Treat any auto-detected value as a starting point to confirm.
What happens to metadata already embedded in my files?
Embedded metadata is read on upload and takes precedence over your defaults. Title, artist, genre, album, and embedded artwork come across automatically. Defaults fill the gaps rather than overwriting what the file already knows.
Can I import metadata from a spreadsheet?
CSV metadata import is on the roadmap and is not shipped yet. Today the practical bulk paths are track defaults at upload and bulk editing after upload. Contact import from CSV, Excel, and vCard does work, but that covers contacts rather than tracks.
Do writer splits export for cue sheets?
Splits are stored as structured rows with name, role, percentage, PRO, and IPI, and travel with the track. That is what makes cue sheet preparation a copy rather than a re-derivation.
How should I tag mood if a cue is more than one thing?
Mood and instruments are multi-select, so a cue can be tagged tense and hopeful at once. Filtering matches on individual moods, so a multi-tagged cue surfaces correctly under each one.
