limboBeat

Catch release
issues before
stores do

Automated quality control for metadata, audio and artwork so your releases are always ready for every store.

The problem

Releases fail at the store, not at the studio.

Cover art with hidden text, misspelled tracks, silent intros, version tags written the wrong way, audio that doesn't match the artist. Every rejection is a release that misses its date, a campaign that loses momentum, and a catalog team that has to chase a fix instead of moving forward.

Manual review doesn't scale. It's slow, inconsistent between reviewers, and the rules change every quarter as stores update their guidelines.

Without limbo/Beat

  • Inconsistent reviews
  • Missed issues
  • Rejections & delays
  • Last-minute fixes
  • Lost momentum

With limbo/Beat

  • Every release, checked the same way
  • Issues caught early
  • Fewer rejections
  • On-time releases
  • Catalog that compounds

The solution

Every release, checked the same way, in minutes.

limbo/Beat takes a release — cover, metadata, and audio — and runs a full quality pass against the rules that actually matter to the stores you deliver to. You get back a structured report with every issue flagged, ranked, and explained.

It runs the same checks the same way for every album in your catalog, so the reports you hand to your label managers are consistent today, tomorrow, and a year from now.

Cover image review

Flags explicit content, embedded text, format and policy issues.

Metadata validation

Verifies titles, ISRCs, version tags, P-line and C-line, parental advisory, language, and featuring credits.

Multi-language spell check

Catches typos and broken text across titles and credits, in Latin and non-Latin scripts.

Silence, intros & spoken-word

Detects leading or trailing silence, long intros, unwanted gaps, and spoken passages that affect store playback.

Audio quality scan

Catches clipping, codec artifacts, and lossy re-encodes that fail store specs.

Audio match & cover detection

Matches your audio against a global music catalog to surface covers, samples, shared beats, and prior releases.

AI-generated music detection

Flags whether a track was created with generative AI, so releases can be labeled in line with current store policies.

AI cross-review against store rules

A multimodal AI reads the full report and the cover together, cross-checking every finding against an up-to-date library of store delivery rules — catching false positives a single check would miss.

How it works

Three steps,
no integration babysitting.

01

Send the release

Hand off the album with its cover, metadata, and audio files. One request per release.

02

Checks run in parallel

Image, metadata, and audio checks run side by side. You're not waiting on a queue.

03

Get the report

A structured report lands back with every finding, severity, and the suggested fix. Plug it into your catalog tool, your delivery flow, or your reviewer dashboard.

Built for teams that ship music at volume

Labels Standardize QA across imprints and reviewers. Replace inconsistent manual passes with one shared bar.

Distributors Catch issues at ingest, before deliveries fan out. Reduce rejections, takedowns, and rework.

Aggregators Offer a quality layer your competitors don't. Give artists feedback the moment they upload.

Publishers Verify metadata correctness on every release before it leaves your system.

Ready to add QA to your release pipeline?

Read the integration guide to plan the rollout with your team.