One file in, the whole picture out: how strong the song is and why, where its best seconds sit, what tempo and key it is in, whether the master survives Spotify, how the lyrics score, and what genre it actually reads as. Measured from the audio, not guessed from a tag. Free, about a minute, no card.
Most tools that call themselves a song analyzer read one thing — a BPM, a key, a loudness number — and stop. Useful, but it answers a question you already knew how to ask. The question artists actually have is broader: is this track ready, what is its strongest part, and what do I do with it now?
So this one runs every layer on the same upload. The waveform gives tempo, key, loudness and the energy curve. The vocal gives time-stamped lyrics and a lyric score. A trained model reads genre, mood and the instruments it can hear. And a moment detector ranks the seconds where all of that peaks at once — the parts worth leading with.
It stays honest about what it is not. It does not know if the song moves people, whether the vocal take is the right one, or whether the idea is worth finishing. It measures what is in the file. Everything it says comes with the number or the timestamp behind it, so you can check it against your own ears.
| What you get | Measured from | Shown as |
|---|---|---|
| Virality score 0–100 | Hooks, energy curve, production, lyrics | Score with per-dimension breakdown |
| Best moments | Energy, vocal density, novelty across the track | Ranked timestamps with the reason each one works |
| BPM and key | Beat tracking + pitch content of the full track | e.g. 142.0 BPM · A minor |
| Loudness | Integrated LUFS + true peak | Delta vs Spotify, YouTube, Apple targets |
| Lyrics | Transcription with word timestamps | Lyric score: rhyme, structure, clarity, imagery |
| Genre and instruments | Audio model reading the mix | Primary genre, subgenre, instruments heard |
| Song DNA | All of the above | One visual profile of the track |
| 7 reels | Cut to the best moments | Ready-to-post vertical clips |
0–100 for viral potential, split into hooks, energy, production and lyrics — so you see which dimension carries the track and which drags it.
The exact timestamps where the song peaks, with the signal behind each. The part to open a clip on, the part to pitch, the part to build the video around.
Beat-tracked BPM, key with mode, integrated LUFS and true peak against the platform targets. Works on unreleased, demo and AI-generated tracks — no metadata needed.
Time-stamped lyrics with a lyric score, the genre the audio reads as, and the instruments the model hears — the parts of an analysis a BPM counter never touches.
MP3 or WAV, 30 seconds minimum. Rough mixes, demos, Suno and Udio exports are all normal here — the analysis reads the audio, not the tags.
Tempo, key and loudness from the waveform; lyrics from the vocal; genre and instruments from an audio model; then the moments where they peak together.
Score, breakdown, timestamps and numbers in about a minute. The same analysis renders 7 clips cut around the best seconds, so the result is something to post, not just read.
This one measures tempo, key, integrated loudness and true peak from the waveform; transcribes the lyrics with word timestamps and scores them; reads genre, mood and instruments with an audio model; and ranks the moments where energy and vocal presence peak. Each result comes with its number or timestamp — nothing is a bare verdict.
Yes. Nothing here depends on metadata, streaming data or the song being known. A Suno export, a bounce from your DAW and a released single are all analyzed the same way, from the audio alone.
Those read one measurement and stop. This runs all of them on one upload and adds what they cannot: the strongest moments, the lyric score, the genre read and a score that ties it together. If you only need one number, the single-purpose tools below give you exactly that.
It tells you what is measurable: whether the hook arrives in time, whether the master gets turned down, which dimension scores lowest, where the track peaks. Whether the song moves someone is not a measurement, and it will not pretend otherwise.
Yes — the analysis needs no card and no account for the first run, and it returns the full result including the reels.
MP3, WAV, FLAC, M4A, AAC, OGG and AIFF, from 30 seconds up to 100 MB. WAV gives the truest loudness and peak reading; MP3 is fine for everything else.
Score, best moments, BPM, key, loudness, lyrics, genre and 7 reels — from one upload, in about a minute, free, no account.
Analyze My Song — Free →