Upload an authorized song
Select an MP3, WAV, FLAC, OGG, M4A, or AAC file up to 50 MB. The upload is used only for this request. If a recording exceeds five minutes, the detector clearly reports that it analyzed the first five minutes.
Free · No sign-up · Files deleted after analysis
AI Music DetectorCheck If a Song Is AI-Generated
Upload one song and let this free detector examine frequency patterns associated with some music generators. You receive a model score in seconds, with no account or credits required.
Audio inputAnalysis range · 1–8 kHzTemporary processing
Drop a song to begin
Choose one audio file you own or are allowed to analyze. Longer tracks are checked for up to the first five minutes.
Choose audio fileMP3, WAV, FLAC, OGG, M4A or AAC · Up to 50 MB
A practical definition
What is an AI music detector?
An AI music detector is a software tool that looks for measurable patterns associated with generated audio. Creatune examines a compact frequency fingerprint between 1 kHz and 8 kHz, where some generation pipelines can leave repeated spectral structure after synthesis and upsampling. The result is a model score, not a search through lyrics, tags, cover art, or file names.
Unlike an AI music checker that claims certainty from one number, this page separates strong signals, weak signals, and inconclusive results. A high score can support a provenance review, while a low score only means this particular fingerprint was not strongly present. Neither result establishes who composed, performed, edited, or released the song.
The phrase AI song checker is useful shorthand, but the underlying task is statistical. The model was trained on known real and generated datasets; future generators, unusual mastering, lossy compression, and genre-specific production can fall outside that experience. Use the result alongside project files, stems, disclosure, and human listening.
Frequency fingerprint1–8 kHz
16 kHz monoSTFT
One request
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MP3WAVFLACM4AAACOGG
Three-step check
How the AI song checker works
The workflow stays deliberately small: upload one file, run one technical comparison, and read a qualified result.
Measure its frequency fingerprint
The service decodes the track to mono audio, calculates a short-time Fourier spectrum, and summarizes recurring detail between 1 kHz and 8 kHz. A lightweight logistic model compares that fingerprint with patterns learned from its training data.
Read the score with context
Creatune maps the score into likely AI-generated, inconclusive, or likely not AI-generated. The thresholds make the interface easier to read; they do not turn an experimental classifier into a certificate or replace evidence about the production process.
Qualified, not absolute
What your detection result means
The same score can have different implications depending on the source, export history, genre, and generation system. Start with the label, then read its limitation.
Likely AI-generated
80–100
A strong known-generator fingerprint was detected. Verify the source, ask for production records, and compare alternate exports before making a consequential decision.
Inconclusive
20–80
The signal is not decisive. Do not force this middle range into a yes-or-no claim; use other evidence or test a cleaner, less compressed source file.
Likely not AI-generated
0–20
The known fingerprint is weak. AI assistance, new generators, hybrid production, or aggressive post-processing may still be present and cannot be excluded.
Model score
02080100
Accuracy and important limits
This AI music detector can surface a useful technical clue, but it cannot authenticate a song on its own.
It recognizes patterns, not creators
The model does not identify Suno, Udio, a specific account, or a human artist. It only measures whether one learned spectral fingerprint is strongly present.
Audio processing changes evidence
MP3 encoding, remastering, equalization, source separation, noise, and repeated exports can change a score. A different score after processing does not rewrite the song's real provenance.
New models can look different
The training data cannot cover every current or future generator. False positives and false negatives remain possible, so this AI song detector should support review rather than decide ownership, enforcement, or credit.
Private by design, simple by default
The free detector processes one request without creating an account, library item, or stored result.
Temporary audio only
The backend writes the upload to a temporary file for decoding and deletes it when analysis finishes or fails. Creatune does not add the song to your music library.
No credits or history
The check does not consume credits and does not create a result history. Reloading or leaving the page removes the local interface state.
Upload only what you may use
Analyze audio you own or are authorized to upload. A technical result does not grant rights to a recording, composition, voice, sample, or generated output.
Questions before you rely on a score
AI music detection FAQ
How accurate is an AI music detector?
Accuracy depends on how closely a song resembles the model's training data. Internal test metrics do not guarantee performance on new generators, remastered files, or every genre. Creatune therefore reports three result bands and describes the output as an experimental model score rather than proof.
Is this AI music checker free?
Yes. You can analyze one supported audio file at a time without signing in or spending Creatune credits. Files may be up to 50 MB, and the service analyzes up to the first five minutes before deleting its temporary copy.
Can the detector tell whether a song came from Suno or Udio?
No. The model can flag a frequency pattern associated with known generated music, but it does not identify a particular generator, account, prompt, or creation date. Platform attribution requires reliable source records or disclosure from the person who produced the track.
Why can MP3 and WAV versions receive different scores?
Encoding and mastering alter fine spectral detail. A WAV export, a low-bitrate MP3, and a streaming rip may therefore produce different fingerprints. For the most useful comparison, use the cleanest authorized export available and avoid treating small score changes as meaningful proof.
Does a low score prove that a song was made by a human?
No. A low score means the tested AI-associated fingerprint was weak in that file. It cannot rule out a new generator, AI-assisted editing, hybrid production, or processing that changed the signal. A responsible AI song detector result should always be combined with provenance evidence.