MuCheck
Log in
B2B AI Music Detection

A trusted B2B solution
for AI music detection

Detect AI-generated music across registration, distribution and settlement. An AI detection infrastructure ready for associations, distributors, streaming services and labels.

MuCheck isn't just a tool that tells you whether a track is AI-generated — it's an AI detection infrastructure that associations and distributors can plug into their registration, review and settlement policies.
Try the demoContact us
Problem

New pressure on registration, review and settlement in the AI music era

  • Surge in AI-generated music

    Generative AI tools are flooding registration queues with AI music at an accelerating rate.

  • Strained review at associations and distributors

    Manually auditing every track is no longer realistic at current volumes.

  • Settlement risk on AI tracks

    Disputes over AI track payouts are rising — you need a standard tool to decide right before settlement.

  • Limits of manual verification

    Subjective listening lacks consistency and scale, leaving weak ground during disputes.

Solution

From a single upload to detection, comparison and settlement-ready data

  1. Upload tracks

    Batch up to 100 tracks at once, with per-file model selection.

  2. AI detection

    About 50–60 seconds per track on Pro-v2.1.

  3. Compare models

    Lite / Standard / Pro / Pro-v2 / Pro-v2.1 results side by side.

  4. Generate a report

    Per-role scores, identified AI model and LLM interpretation, all in one report.

  5. Export as CSV

    Structured data ready to plug into your review and settlement workflows.

Use Cases

Across every stage of the music industry

  • Associations

    Apply a consistent standard tool to screen AI music among registered member tracks.

  • Distributors

    Pre-classify AI music at the front of the registration queue for operational efficiency.

  • Streaming services

    Integrate detection results into settlement and recommendation workflows to build trust.

  • Labels / production

    Audit AI exposure across your catalog before someone else does.

Models

Five models, pick the right one per scenario

From fast first-pass detection to natural-language LLM interpretation — choose the optimal model for each stage of registration, review and settlement.

  • Lite

    ~5s per track

    • Fast first-pass detection
    • Real/Fake prediction + confidence

  • Standard

    ~8s per track

    • For standard sales demos
    • Five-stage ensemble analysis

  • Pro

    ~15s per track

    • Identifies fake source (suno_v4, etc.)
    • Adds detailed classification models

  • Pro-v2

    ~30s per track · 3 roles

    • Role-based AI tracing (composer / vocalist / engineer)
    • AI model identification (suno / udio / mureka, etc.)

  • Pro-v2.1

    Default

    ~55s per track · 4 roles

    Use the account from your sales contact
    to try the demo

    From upload to result in under five minutes — ready to run live during a sales meeting.

    Log in

    Contact us

    Drop us a line about adoption, demo meetings or technical questions — your sales contact will follow up quickly.