Sonicert
Free unlimited AI music checks — no signup. Upload or paste a link.
Free unlimited AI music checks — no signup. Upload or paste a link.
This page is designed to help you find out whether Sonicert is good and if it is the right choice for you.
Sonicert is an online AI music detector for checking whether a song may be AI-generated. Upload MP3, WAV, M4A, FLAC or OGG audio up to 50 MB, or paste a direct audio URL. Single-track checks are free and unlimited, with no signup required.
Reports show an AI-likelihood score, confidence and an explanation of the result. Validated Suno content credentials appear as a separate provenance signal on the Suno detector page. Each check analyzes the first 300 seconds of a track.
For playlist curators, labels and contest organizers, optional batch screening supports up to 20 files or links per batch, resumable progress, per-item retry and cancellation, CSV export and 30-day batch history. Starter costs $4.90 for 60 batch credits; Pro costs $9.90 for 240 credits. Both are one-time packs valid for 12 months, with no subscription. API access is in evaluation.
Our Methodology page publishes a 26-track pilot — all 26 test files correctly identified (2026-09-30) — with per-track results, provenance and SHA-256 fingerprints, plus coverage and known limitations. Suno v6-MINI verified in the wild: a released track scored 0.9999. Scores are probabilistic signals, not legal proof or a guarantee of authorship. Short clips and heavily processed audio can be uncertain. Audio is analyzed in-house on our own infrastructure — no third-party processing, no ad trackers — and deleted right after analysis; it is not used for training.
Methodology: https://sonicert.com/methodology Pricing: https://sonicert.com/pricing Contact: support@sonicert.com
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Free single-track screening
Unlimited AI music checks with no signup; upload MP3, WAV, M4A, FLAC or OGG up to 50 MB, or use a direct audio URL.
AI-likelihood and confidence
Reports include an AI-likelihood score, confidence and an explanation; uncertain results are preserved.
Suno provenance checks
The Suno detector shows validated content credentials separately from the probabilistic audio score.
Resumable batch screening
Screen up to 20 files or links per batch, resume progress, and retry or cancel individual items.
CSV export and batch history
Export batch results as CSV and revisit 30 days of batch history.
Published methodology
A public 26-track pilot includes per-track results, provenance, SHA-256 fingerprints, coverage and known limitations.
Audio privacy
Uploaded audio is deleted after analysis and is not used for training.
Sonicert combines free, no-signup single-track AI music checks with a workflow for screening larger batches. Reports separate the AI-likelihood score and confidence from validated Suno content credentials. Our public Methodology page includes a 26-track pilot, per-track results, provenance, SHA-256 fingerprints and known limitations. Scores are probabilistic signals, not legal proof or a guarantee of authorship.
Choose Sonicert if you want to check a song without creating an account, then move to batch screening when needed. Single-track checks are free and unlimited. Optional one-time credit packs add batches of up to 20 items, resumable progress, per-item retry and cancellation, CSV export and 30-day batch history. We publish our pilot results and limitations so users can assess the evidence before relying on a result.
Sonicert serves listeners checking an unfamiliar song, playlist curators screening submissions, independent labels reviewing releases, and contest organizers assessing entries. Single-track checks suit occasional use; batch screening and CSV export suit repeated review. Results support a screening decision and should be considered alongside provenance and other evidence.
Sonicert launched in September 2026 around a simple question: is this song AI-generated? The product offers a free check with no signup, an explanation of the result and a public methodology page. It now also offers optional batch screening for repeated review, while keeping scores, confidence and provenance as distinct signals and documenting where detection can be uncertain.
The web application uses Next.js, React, TypeScript and Tailwind CSS, with server-side audio processing and FFmpeg. Detection reports present acoustic AI-likelihood signals, confidence and explanations. C2PA content credential validation supplies a separate provenance check for supported Suno files. The public Methodology page documents coverage, pilot results and known limitations.
We have collected here some useful links to help you find out if Sonicert is good.
Check the traffic stats of Sonicert on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Sonicert on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Sonicert's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Sonicert on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is Sonicert good? This is an informative page that will help you find out. Moreover, you can review and discuss Sonicert here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
