Label Finder: The Afternoon Catalog Checklist

Searching for a label finder usually means one of two things: you want to know who released a track that sounds like yours, or you want to figure out which labels would actually want your catalog. Either way, the research only works if your own tracks are properly tagged first. A label finder search that starts with an untagged, disorganized catalog wastes the afternoon before it starts. This checklist assumes you have a folder of tracks and a few hours, and it walks through exactly what to do with both.

Start with your own catalog, not theirs

Before you can match your sound to a label's roster, you need to know what your sound actually is in terms a label or A&R person would search by: genre, subgenre, mood, tempo, key, instrumentation. Guessing these by ear across dozens or hundreds of files is where most afternoons disappear.

Connect the folder to My Library and let it index every file locally. It reads file names and sizes on your own machine and shows each track as Tagged or Untagged with sortable columns, so you know exactly how much backlog you're dealing with before you commit any credits. From there, the "Analyze untagged" action sends only the gaps for analysis, so you're not re-tagging files you already handled.

Run the backlog through the TrackTag Studio batch audio analyzer. If you're building a quick reference sheet for outreach, Core level covers the nine fields that actually get searched: genre, subgenre, mood, BPM, key, and the rest of the keyword tags. If you're preparing a pitch document or a licensing one-sheet where a written description matters, Ultra returns all 35 fields, including production notes and a full description. Both run the same engine on the same audio, so the choice is about how much detail you want back, not about accuracy. You can also start a track at Core and upgrade it to Ultra later for the one-credit difference if a specific submission later calls for it.

Get the tempo and key right before you compare anything

A label finder search built on guessed tempo is a waste of time twice over: once when you mismatch your track to a label's catalog, and again when you have to redo it. Precision Mode measures BPM and musical key directly from the audio signal on the device rather than estimating from genre conventions, and it's benchmarked at 15 out of 15 tempo agreement against the leading industry analyzer. If you're curious how that measurement actually works under the hood, the BPM and key detection guide breaks down the difference between measured and inferred values, which matters more than people assume when you're trying to slot a track into a label's existing sound.

Build the comparison list

With your own catalog tagged and exported, the next hour is spent the other direction: finding out who actually releases music like yours. The fastest way to do this is to work backward from real releases rather than from label directories that go stale. Pick ten to fifteen tracks from the last year or two that share your genre, subgenre, and general production scale. Most streaming platforms let you search by label directly, and the copyright line on a release (the line that usually reads something like "under exclusive license to") tells you whether you're looking at the imprint or the larger company behind it. That distinction matters because sending a demo to the wrong entity in a label group is a common and avoidable mistake.

As you build this list, keep it in a spreadsheet next to your own tagged catalog export. Export your batch as CSV or Excel and you can filter your tracks by the same genre, subgenre, mood, and BPM range that shows up across the comparison list. This is the part of the checklist that actually functions as a label finder in the practical sense: not a lookup tool, but a side by side of measured tags on your tracks against the pattern of releases a label has already put out.

Package what you send

Once you know which tracks fit which target, the packaging matters almost as much as the match. If any of this research is feeding sync or licensing outreach specifically, the guide to tagging music for sync licensing covers the fields that supervisors and library curators actually filter by, which overlaps heavily with what a label A&R contact will care about. For broader catalog submissions, the catalog and library submission guide walks through formatting expectations so you're not reformatting the same metadata three different ways for three different targets.

Exports come in TXT, CSV or Excel, XML, JSON including schema.org JSON-LD, Markdown, and PDF, and you can pull the whole batch, a hand-picked subset, or a file per track zipped up. If a label asks for a specific format, you're not rebuilding the sheet from scratch.

Automate the parts you'll repeat

If this is a workflow you'll run monthly rather than once, wire it up instead of redoing it by hand. The Zapier integration has an "Analysis Finished" trigger and an "Analyze Track" action, so newly tagged tracks can drop straight into a Google Sheet or Airtable base that doubles as your running target list, no code required. If you work inside an AI assistant like Claude Desktop or Cursor, the MCP server lets you ask it to analyze a track, search your local files by name, or check your credit balance without leaving the conversation, which is useful when you're triaging a backlog between other tasks. Teams enriching deliveries at scale can use the public API directly, posting a track and getting the same JSON analysis back, with keys created in Studio and a default of 10 requests per minute and 2,000 analyses per day.

Where other tools fit, honestly

If you're managing a large enterprise catalog and need similarity search across a huge library, Cyanite does that well and operates at real scale, though its published pricing sits well above what an independent catalog owner typically needs, and it doesn't publish self-serve rates the way a smaller operation would. AIMS is strong on catalog integrations for larger sync libraries. Where TrackTag differs is price transparency and depth per track: tagging packs start at $20 for 50 tracks, with an Unlimited plan at $49 a month using your own Google AI key, generally 3 to 6x cheaper than AIMS API access and without the roughly €290 monthly floor that comes with Cyanite. The pricing comparison guide lays out the actual numbers if cost is the deciding factor, and the TrackTag vs Cyanite page goes deeper on where each tool is the better fit.

The one-afternoon recap

Index your folder, tag the backlog with TrackTag Studio, verify BPM and key with Precision Mode, export a filtered CSV, build a ten to fifteen track comparison list from real releases, match the two, and package the result in the format your target expects. That's the whole checklist, and it's the version of "label finder" that actually produces a target list instead of a bookmark folder.