Creator Music Prompts
932 Suno clips analyzed60.5 hours tested4,055 tags studiedBuilt from real workflow data
Read the 932-song breakdown

Creator Music Prompts flagship beta

Make the record more creator-authored, not merely less detectable.

Human Signal Lab combines local audio preflight, production reconstruction, provenance documentation, perceptual review, third-party detector benchmarking, and a prioritized action plan.

Audio stays localFour separate scoresDetector deskPDF reportRights-aware

Drop in a WAV, FLAC, AIFF, MP3, or M4A

Browser analysis only. The file is decoded locally and is not uploaded by this tool.

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Technical Preflight

Browser-based file and signal QC. Not certified LUFS or true peak.

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Artist Contribution

How much of the audible production has been newly performed, rebuilt, or authored.

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Reconstruction Readiness

Whether the song is mapped and prepared for disciplined DAW reconstruction.

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Provenance Readiness

Whether prompts, sessions, takes, revisions, rights, and disclosure are documented.

Project readiness average: 0/100. This is a workflow summary, not an AI probability or authorship certification.

Step 1

Document what you actually changed.

These scores are based on concrete production work, not claims about whether a classifier can recognize a generator.

Artist Contribution

Check only changes completed in the final audible production.

0%

Reconstruction Readiness

Map the song before replacing random pieces.

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Provenance Readiness

Retain evidence that accurately describes the creative process.

0%

Step 2

Perceptual AI-tell review

Rate what you hear. The action plan prioritizes severe, identity-bearing problems before mastering or surface processing.

Vocal identity

Clear

Phrase endings, consonants, breaths, vowel stability, vibrato, doubles, and emotional consistency.

Rhythm and performance

Clear

Velocity hierarchy, microtiming, fills, ghost hits, groove variation, and physical drum attack.

Timbre and sound design

Clear

Fused layers, unstable instruments, smeared highs, shared texture, and weak separation between core sounds.

Arrangement intentionality

Clear

Repeated sections, predictable eight-bar changes, generic transitions, identical drops, and weak development.

Generated ambience

Clear

Continuous reverb fog, unrelated tails, shared noise across stems, and transitions embedded in the mix.

Lyric specificity

Clear

Abstract emotional clichés, repeated concepts, forced rhymes, generic imagery, and every line carrying equal weight.

Step 3

Priority reconstruction plan

Priority 1

Replace or record the lead vocal

High effort

A newly performed vocal creates the clearest ownership, phrasing, and emotional evidence.

Retain: Raw takes, comps, tuning versions, and final vocal stems.

Priority 2

Rebuild the primary musical stack

High effort

Recreating the hook-bearing layers changes the acoustic identity of the song.

Retain: MIDI, presets, stems, and sound-design notes.

Priority 3

Rebuild drums from individual parts

Medium effort

New samples, velocity, timing, and fills create a traceable groove rather than a polished inherited drum bed.

Retain: Drum MIDI, sample list, groove settings, and revisions.

Priority 4

Recreate bass and sub

Medium effort

The low-end articulation defines the record and is difficult to repair only at mastering.

Retain: Bass MIDI, patch settings, resamples, and sidechain routing.

Priority 5

Create a materially new arrangement

Medium effort

New section lengths, transitions, and variations establish intentional development.

Retain: Section map and dated arrangement bounces.

Priority 6

Replace baked-in effects and transitions

Medium effort

Independent effects remove shared ambience and make the mix controllable.

Retain: Dry stems, return settings, and original transition assets.

Priority 7

Build the reconstruction map

Low effort

A section-by-section plan prevents random polishing and prioritizes the layers that carry the song's identity.

Retain: Section markers, replacement list, and revision order.

Priority 8

Save dated DAW revisions

Low effort

Version history proves the sequence of production changes and protects recoverability.

Retain: Project files and dated exports.

Detector desk

Record outside results without surrendering judgment.

Paste probabilities, classifications, confidence, attribution, or forensic notes. The lab preserves them as separate evidence and never converts them into one “truth” score.

Integrated workflow

One product layer across the current tool landscape.

Detection benchmarks

SubmitHubVobile / PexIRCAM AmplifyAuthioMuCheckDeezer DetectorSONICS / SpecTTTra

Use as probabilistic evidence. Never treat one score as proof of authorship.

Reconstruction tools

Suno Studio stems and MIDIRipX DAWSteinberg SpectraLayersiZotope RXMelodyneAbleton Live

Replace exposed generated layers, rebuild performances, and create a documented DAW session.

Mix and QC tools

iZotope OzoneMetric ABEXPOSEYoulean Loudness MeterReference listeningCar and phone translation

Validate release quality after reconstruction. Mastering alone is not authorship transformation.

Export the evidence

Keep the report with the project.

The report includes local metrics, all four scores, perceptual concerns, detector notes, the action plan, checklists, and the required interpretation language.

What this does not do

It does not certify human authorship, guarantee acceptance, remove watermarks, conceal AI use, impersonate a performer, or promise to beat a detector. It helps creators rebuild, document, review, and release more responsibly.

Privacy and accuracy

Local audio metrics are estimates derived in your browser. Confirm final LUFS, true peak, phase, and mastering decisions in professional tools. Any third-party detector results you enter are stored only in the current page state unless you export the report.