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Measured on six things

Free AI music detector that tells you if a song is AI-gen...

Security

HTTPS enforced with SPF and DMARC, and audio is claimed to be analyzed in memory. But no HSTS, CSP, frame protection or other hardening headers, and no published audits or security page.

Screenshots

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Songprint

About this app

Songprint is a free AI music detector that analyzes uploaded audio files to determine if a song was generated by artificial intelligence. It returns a Human/AI verdict with a confidence score in seconds, and the Pro plan adds likely generator attribution (Suno, Udio, ElevenLabs, MusicGen, and 10+ others). The tool uses an ensemble of audio-forensic checks across spectral, temporal, phase, and production signals to avoid false positives, and it analyzes files in memory without storing them. With 3 free checks per day and no signup required, it's accessible for quick ad-hoc screening, while Pro offers unlimited checks, batch upload, history, and downloadable reports. It's designed for independent artists, distributors, labels, playlist curators, educators, A&R teams, and radio moderators who need to verify music authenticity before publishing, signing, or placing tracks.

Key features

1Free AI/Human verdict with confidence score, 3 checks/day, no signup required
2Pro ($3.99/mo annual) adds generator attribution across 12+ platforms (Suno, Udio, ElevenLabs, MusicGen)
3Ensemble forensic analysis across spectral, temporal, phase and production signals; audio analyzed in memory, never stored

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Independent artists and musicians

Pain points

Worried about being wrongly flagged as AI; need to prove their work is human-made

Primary needs

A reliable way to verify and document that their music is not AI-generated

Demographic

Distributors, labels, and A&R teams

Pain points

Risk of accepting AI-generated tracks, leading to takedowns and catalog integrity issues

Primary needs

Screen uploads before distribution and document provenance for diligence

Demographic

Playlist and sync curators

Pain points

Flooded with AI-generated music, hard to filter out 'AI slop' before placing tracks

Primary needs

Quick, accurate detection to vet tracks for playlists and sync libraries

Demographic

Teachers and contest organizers

Pain points

Difficulty verifying originality of student submissions and competition entries

Primary needs

An easy-to-use tool to check if submissions are AI-generated

Scout Review

Written by AI from measured evidence, scored out of 100.

Songprint is a free AI music detector that returns a Human/AI verdict with a confidence score in seconds, with a $3.99/mo Pro tier adding generator attribution across 12+ platforms, batch upload, history and downloadable reports. The site is fast (Lighthouse mobile 97), the onboarding is frictionless (3 free checks/day, no signup), and the positioning against a real, growing problem is clear. The gaps are security hardening (4/12 header checks, no published audits) and self-serve help (truncated FAQ answers). For artists, curators and educators who need a quick authenticity screen, it is a credible, low-cost option — just don't treat a probabilistic verdict as legal proof.

Measure by measure

Usability

Three free checks a day with no signup is genuinely low-friction, and drag-and-drop batch upload is clear. The FAQ exists but several answers render truncated, which undercuts self-serve help.

Design

Dark, modern SaaS landing page with a clear hero, feature grid, generator logo wall and result-example cards. Polished and on-trend, though it leans on familiar template patterns.

Speed

Lighthouse mobile 97/100 (LCP 1.1s, CLS 0, TBT 90ms) and desktop 92/100. The site is genuinely fast, and the product claims ~10s average analysis per track.

Security

HTTPS enforced with SPF and DMARC, and audio is claimed to be analyzed in memory. But no HSTS, CSP, frame protection or other hardening headers, and no published audits or security page.

Accessibility

Lighthouse accessibility 93/100, but failing audits include non-sequential headings, unlabeled form elements and mismatched accessible names. No WCAG statement published.

Growth

A real, growing problem (AI slop flooding music pipelines) with a specific wedge: free, no-signup detection plus generator attribution. Crowded category and very early stage cap the ceiling.

Improvement areas

Security hardening: add HSTS, CSP, frame protection and Referrer-Policy; publish a security page
Fix truncated FAQ answers and add labeled form elements for accessibility
Publish accuracy benchmarks per generator to substantiate confidence scores

Design & Usability

Songprint's site is a competent, modern dark-mode SaaS page: hero, feature grid, a 12-logo generator wall, result-example cards and a two-tier pricing block. The result cards are the strongest design move — showing 98% AI / 4% AI / Uncertain outputs is more convincing than any stock waveform. Usability is where it earns its keep: three free checks a day with no signup is about as low-friction as onboarding gets, and drag-and-drop batch upload with MP3/WAV/FLAC/M4A support is clear. The weak spot is self-serve help — the FAQ lists questions but several answers render truncated or empty, so a confused user hits a wall exactly where they need guidance.

Speed & Security

Speed is the standout measured dimension: Lighthouse mobile 97/100 with LCP 1.1s, CLS 0 and TBT 90ms, desktop 92/100. The site is genuinely snappy, and the product claims ~10s average analysis per track, which is plausible for server-side audio forensics. Security is the soft underbelly. HTTPS is enforced and SPF/DMARC are configured, and the site claims audio is analyzed in memory and never stored — a good privacy posture for a tool handling unreleased music. But the header probe found only 4/12 checklist points: no HSTS, no CSP, no frame protection, no X-Content-Type-Options, Referrer-Policy or Permissions-Policy. There is no security page, no SOC 2/ISO claim and no bug bounty. For a product asking labels and distributors to upload unreleased catalog, that hardening gap matters.

Accessibility & Growth

Accessibility scores 93/100 on Lighthouse, which is strong, but the failing audits are the kind that bite real users: heading elements out of sequential order, form elements without associated labels, and visible-text/accessible-name mismatches. For an upload-centric tool, unlabeled form controls are a genuine barrier, and there is no WCAG statement or accessibility page to signal intent. Growth is a judgement on the idea: the problem is real and getting worse — AI-generated tracks flooding distributor queues, playlists and classrooms — and Songprint names specific buyers (artists proving humanity, labels screening uploads, curators filtering slop, teachers checking submissions). The wedge is free, no-signup detection plus Pro generator attribution at $3.99/mo, which is a sharp price point. The limit is differentiation: AIorNot and Deeptrack occupy the same ground, and detection accuracy is a moving target as generators evolve. The domain is only months old, so traction is unproven.

Conclusion

If you handle music and need a fast, cheap first-pass screen for AI-generated tracks, Songprint is worth a bookmark — the free tier costs nothing and the verdict arrives in seconds. Treat it as probabilistic screening, not a certificate: confidence scores are exactly that, and a 'likely human' result won't settle a distributor dispute on its own. Before uploading unreleased catalog, check the privacy page and consider what metadata signed-in checks retain. The product's next job is proving accuracy against real generator output and hardening the platform to match the trust its audience needs.

Suggestions for improvement

Fix the truncated FAQ answers — empty headings read as broken and kill self-serve trust.
Add HSTS, CSP, frame protection and Referrer-Policy headers; publish a short security page.
Label all form elements and fix heading order to clear the remaining Lighthouse a11y audits.
Publish accuracy benchmarks per generator (Suno, Udio, ElevenLabs) so users can calibrate trust.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Songprint	AI Music Detection by AIorNot	Deeptrack	Mozilla DeepSpeech
Free tier without signup	Yes — 3 checks/day, no signup	Limited free detection; account often required	Free trial/demo; full use gated	Open-source, self-hosted; not a music detector
Generator attribution (which AI made it)	Yes on Pro — 12+ generators	AI/human verdict; limited attribution	Forensic analysis focus; attribution unclear	No — speech-to-text engine
Batch upload & downloadable reports	Yes on Pro	Single-file oriented	Not clearly offered	No — developer library
Pricing	Free; Pro $3.99/mo billed annually	Freemium with paid tiers	Paid/enterprise oriented	Free / open-source