You can check a song for AI-related characteristics using a free AI music detector. But “free” can mean a daily allowance, a limited report or a few introductory scans. Before uploading, check what the tool actually returns and how it explains its results.

This guide compares TRACE, Authio and The Ghost Production using their published product information. It is a feature overview, not a controlled accuracy test. Catalyse develops TRACE, which is included in the comparison.

Free AI music detectors at a glance

Allowances and features may change. Check the linked product pages before uploading.

TRACE

TRACE screens music masters for available provenance, metadata and AI-related audio characteristics. Its current report presents evidence strength, evidence coverage and regions that can be reviewed alongside the recording.

New verified accounts receive two introductory credits without a credit card. One credit covers one completed master scan, including the current report. Saved reports can be reopened without spending another credit.

TRACE is currently in testing. Its pricing page lists planned one-time packs of €9 for 10 credits, €19 for 25 and €39 for 60. Purchases are not yet enabled. Separate stem analysis is also a future feature.

Consider it if: you want to examine the findings behind a master-level screening result. Evidence coverage describes where TRACE found reportable evidence; it is not a measurement of how much of the music was made with AI.

Authio AI Music Checker

Authio’s free checker offers two daily analyses without signup. It accepts five audio formats and returns Human, Hybrid or AI classifications. Authio describes the free service as a five-model ensemble; paid forensic analysis adds more detailed evidence and attribution.

The Hybrid category is relevant when generated audio appears alongside human performances. However, a hybrid label should not be read as a reconstruction of the production process.

Consider it if: you want a recurring free allowance and a result that explicitly distinguishes hybrid recordings. Read its result documentation before interpreting the percentages.

The Ghost Production AI Music Detector

The Ghost Production’s detector says it is powered by ACRCloud. It advertises three free guest scans daily and a registered free tier with 30 scans monthly. Free uploads support MP3 and WAV up to 50 MB.

Its free result is a simple AI or Human verdict. Paid features include probability scores, generator identification, vocal and accompaniment breakdowns, and reports. The site also advertises one-time scan packs alongside subscriptions.

Consider it if: you want a quick guest check and are comfortable with a basic verdict. Verify which details are included before choosing a paid option.

What does an AI music detection score mean

A displayed percentage needs a definition. It could represent a model’s probability estimate, confidence in a verdict or another detection signal. Those are different measurements.

Authio explicitly defines its Human Origin and AI Origin pair as a full-mix signal and its complement. It says these figures are not composition or contribution percentages. A result showing 40% AI Origin therefore does not establish that 40% of the track’s duration, instruments or creative work came from AI.

TRACE’s evidence coverage answers another question: where did the current analysis find reportable evidence? It should not be compared directly with an origin probability.

For each tool, ask: what does the number measure, what evidence supports it, and what does the tool say it cannot establish? Authio’s documentation provides a useful example of these distinctions.

Can a detector identify AI vocals in human produced music

A generated vocal over human-produced accompaniment is a different case from a fully generated song. It raises two questions: can the detector notice generated audio in the mix, and can it reliably identify the source?

A Hybrid label addresses the first question. Source-level evidence is needed to support the second. A label alone does not identify the vocal, bass or drums as AI-generated.

The services described here offer different levels of detail. This guide has not tested their performance on known hybrid recordings, so it does not name an accuracy winner.

How to use a free detector sensibly

1. Keep the file consistent. When comparing tools, submit the same export so differences in the input do not confuse the comparison.

1. Read beyond the headline. Check the evidence, score definition and limitations.

1. Treat disagreement as a reason to investigate. It does not establish which detector is correct.

1. Check upload and privacy terms. For unreleased or client music, review storage, deletion and third-party processing before submitting it.

1. Keep production records. Sessions, source files and collaborator information provide context a detector result alone cannot supply.

A “Human” result should not be treated as a certificate that no AI was used. An AI flag should prompt review rather than an automatic accusation.

Which free AI music detector should you choose

For recurring guest checks, compare Authio and The Ghost Production. For an account-based master report with evidence regions, TRACE offers two introductory scans. These are workflow choices, not accuracy rankings.

Choose a tool whose allowance fits your needs and whose report explains its findings clearly. Establishing which detector performs best requires known-origin recordings, human controls and a documented comparison.

Try TRACE with two introductory master scans, or explore the alternative tools linked above.

Sources

Product information checked on 4 October 2026. Competitor capabilities are provider descriptions, not independently validated findings.

• TRACE pricing and introductory credits

• TRACE product information and terms

• Authio free AI music checker

• Authio result definitions and analysis tiers

• The Ghost Production AI music detector