AI Song Analysis

Analyze Any Song — Lyrics and Music in One Report

Upload any audio file or record live. Get a complete dual analysis: lyrical summary, themes, emotional moods, language, and explicit flag — alongside genres, subgenres, musical moods, and instruments.

Analyze a Song
A person listening to a song through headphones while a detailed lyrics and music analysis appears on a laptop screen beside them

Analyze Any Song

Add an audio file and we'll open AI Music Studio with it ready for a full lyric and music analysis.

Drag & drop your audio here

or click to browse — MP3, WAV, FLAC, up to 50MB

Get timestamped lyrics, themes, genres, structure, instrumentation, tempo, key and production details.

Sample analysis

What your song report looks like

Lyrics Analysis

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Music Analysis

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Lyrics — Summary

The lyrics narrate a journey of personal liberation, moving from a state of enforced silence and self-restraint to one of outward expression and boldness. The narrator describes a past defined by "turning down the gain" and concealing their true self, metaphorically represented by painting walls white to avoid facing reality. The emotional arc follows a transition from hesitation and fear to an empowered, vocal presence, emphasizing the act of breaking free from internal and external constraints to finally "write the song" of their own life.

Lyrics — Detail

Moods
Introspective, Determined, Liberated, Resilient
Themes
Self-discovery, Authenticity, Overcoming Fear, Breaking Silence
Language
English
Explicit
No

Lyrics — Timestamped

  1. [0:19] I spent a lifetime turning down the gain
  2. [0:22] Keeping all the static inside my brain
  3. [0:26] The walls in this room were painted in white
  4. [0:30] So I wouldn't have to face the color of the light
  5. [0:34] I kept my rhythm tied behind my back
  6. [0:37] Tracing shadows in the pavement crack
  7. [0:41] Waiting for a signal that was never gonna land
  8. [0:45] While the hourglass was slipping through my hand
  9. [0:49] But there's a hum beneath the floorboards now starting to break through the hollow vowel
  10. [0:52] I'm shaking off the silence like a heavy coat, there's a brand new melody inside my throat
  11. [0:56] I'm turning the dial, I'm finding the key
  12. [0:59] Letting the frequency finally break free
  13. [1:02] No more whispering into the dark
  14. [1:05] I'm igniting the fuels, I'm chasing the spark
  15. [1:08] Yeah, I'm unmuted, I'm taking the floor
  16. [1:11] I'm not the ghost I was before
  17. [1:14] Louder than the doubt, higher than the haze
  18. [1:18] I'm writing this song for the rest of my days
  19. [1:21] The mirror doesn't look the same these days
  20. [1:24] It's clearing out the smoke, it's clearing the maze
  21. [1:28] Every jagged note I used to be afraid to sing is becoming the tether, is becoming the wing
  22. [1:36] I'm stepping out from behind the heavy door
  23. [1:39] Leaving all the hesitation on the floor
  24. [1:42] My pulse is a rhythm, my breath is a beat
  25. [1:46] Finding my footing on a crowded street
  26. [1:51] Fate told me keep it steady, keep it low
  27. [1:54] Don't let the fire start to overflow
  28. [1:58] But a quiet light is a cage made of glass
  29. [2:01] And I'm throwing the stone, watch the pieces pass
  30. [2:04] Watch it shatter, watch it fly
  31. [2:09] Painting my colors across the sky
  32. [2:13] I'm turning the dial, I'm finding the key
  33. [2:16] Letting the frequency finally break free
  34. [2:19] No more whispering into the dark
  35. [2:22] I'm igniting the fuels, I'm chasing the spark
  36. [2:25] Yeah, I'm unmuted, I'm taking the floor
  37. [2:28] I'm not the ghost I was before
  38. [2:31] Louder than the doubt, higher than the haze
  39. [2:35] I'm writing this song for the rest of my days

Music — Genres & Mood

Genres
Pop (85), Alternative (75), Synth-pop (70)
Subgenres
Indie Pop (80), Electropop (75), Synthwave-influenced (60)
Moods
Anthemic (85), Driven (80), Uplifting (75)
Era / Decade
Contemporary 2020s

Music — Structure

  1. [0:00–0:18] Intro — Atmospheric synth pad with rhythmic pulses.
  2. [0:19–0:48] Verse 1 — Bass-driven, steady beat, vocals are intimate and controlled.
  3. [0:49–1:20] Chorus — Full instrumentation, driving energy, anthemic vocal delivery.
  4. [1:21–1:50] Verse 2 — Rhythmic development, layered percussion, more dynamic vocal range.
  5. [1:51–2:12] Bridge — Stripped back, tension building with rising synth melodies.
  6. [2:13–2:37] Chorus — Return to full intensity.
  7. [2:38–3:09] Outro — Fading synths and final vocal ad-libs.

Music — Instrumentation

  • Lead Vocals — Clean, expressive, gradually increasing in volume and intensity.
  • Synthesizers — Used for textures, arpeggios, and rhythmic pulses.
  • Bass Guitar (Synth-based) — Pulsing, driving, and dominant in the mix.
  • Drum Kit — Crisp, programmed-style drums with a punchy snare.

Music — Production & Sonic Details

Tempo
118 BPM
Key
C Major
Time Signature
4/4
Production Style
Polished, modern pop production
Mix Characteristics
Punchy, wide stereo field, clear separation of elements
Notable Effects
Sidechain compression on synths, light saturation, vocal layering in the chorus
Energy Level
Variable — builds from medium to high
Danceability
High
Music fan reading a lyrical theme breakdown on a tablet with moods and themes listed beside the song summary
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Lyrics Decoded — Themes, Moods, and Context

Analyze Song Lyrics
Music producer reviewing a genre and subgenre breakdown with confidence scores on a studio monitor screen
02

Genre and Subgenre with Confidence Scores

Identify the Genre
Music student reviewing a musical mood and instrument breakdown on a laptop while listening through headphones
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Musical Moods and Instruments Detected

Detect Instruments
How It Works

How to Analyze a Song

1

Record or Upload Your Song

Click Record and play the song into your microphone, or click Upload to select an MP3, WAV, M4A, OGG, WebM, or FLAC file. A 30-second clip is enough for reliable genre and mood identification; a full verse and chorus gives the best lyrical analysis.

2

Choose Your AI Model

Select the Basic model for most songs, or the Advanced model for complex arrangements, genre-blending tracks, or songs with dense lyrical content that needs deeper analysis.

3

Get Your Dual Analysis

Click Analyze Song and receive a complete report: lyrical summary, moods, themes, language, explicit flag — plus genres, subgenres, musical moods, and instruments all in one view.

Who Uses It

Music educator using a song analysis tool on a laptop to break down a track for a classroom discussion
Use Case

Music Students and Educators

Use the song analyzer to study lyrical craft, thematic construction, and genre characteristics in class or independently. Upload tracks from your curriculum and get a structured breakdown of themes, moods, and musical elements to use as a discussion framework. The genre and subgenre labels with confidence scores make it easy to understand how songs relate to musical traditions and movements.

DJ reviewing song analysis results on a laptop to plan a genre-consistent DJ set
Use Case

Playlist Curators and DJs

Building a coherent playlist or DJ set requires understanding the mood and genre profile of every track. Use the song analyzer to quickly confirm the genre, subgenre, musical mood, and instruments for any song. The explicit flag helps you keep playlists family-friendly when needed. The confidence scores let you spot tracks that genuinely belong in a genre versus tracks that only loosely fit.

Songwriter using a song analyzer to study reference tracks for their own composition
Use Case

Songwriters and Producers

Analyzing reference tracks is a core part of songwriting and production. Upload a song that has the vibe you want to create and get a precise breakdown of its lyrical themes, moods, genres, subgenres, and instruments. Use this as a creative brief when collaborating: "The reference track has a Nostalgic, Defiant lyrical mood with a Post-Rock subgenre feel and Synth-Pop elements." This gives your collaborators exact language to work from.

Parent using a song analyzer to check whether a track is appropriate for children before adding it to a playlist
Use Case

Parents and Content Moderators

The explicit content flag gives a quick yes or no answer on whether a song contains mature language. Upload any track and get an instant answer alongside a lyrical summary that gives context about the themes and subject matter. This makes it easy to make informed decisions about age-appropriate music for children, classroom playlists, or family events without having to listen to every song in full.

Deep Dive

Getting the Most Accurate Song Analysis

Audio clarity, recording length, and lyrical audibility all affect how accurately the AI analyses a song. These tips help you get the most complete and useful report.

Wide editorial collage showing a vinyl record, a songwriter writing lyrics, a DJ at a turntable, headphones on a music stand, album artwork, and a music producer at a mixing console
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Audio Length and Lyrical Coverage

For reliable genre and mood identification, a minimum of 20 to 30 seconds of continuous music is needed. For accurate lyrical analysis, upload a section that includes at least one verse and one chorus — around 60 to 90 seconds. If you upload an intro or instrumental break with no lyrics, the lyrics analysis will note that no audible lyrics were detected in that section.

Minimum for genre and mood20 to 30 seconds of continuous music
Best for lyrics analysis60 to 90 seconds including a verse and chorus
Best formatsWAV, FLAC (lossless), or MP3 at 192 kbps or above
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Lyrical Audibility

The quality of the lyrical analysis depends on how clearly the vocals are audible in the recording. Songs with prominent, clear vocals produce the most detailed lyrical summaries, mood lists, and theme breakdowns. Heavily processed vocals (extreme distortion, very heavy reverb, extreme pitch shifting) may reduce the accuracy of the lyrical section. Instrumental tracks will correctly receive a "No Lyrics" language label and a note that the track is instrumental.

Clear vocalsProduces the most detailed lyrical summary, moods, and themes
Heavily processed vocalsMay reduce lyrical analysis accuracy; music analysis remains unaffected
Instrumental tracksCorrectly identified as instrumental; music analysis still runs in full
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Genre Confidence Scores Explained

Confidence scores reflect how strongly the song matches each genre label, not how certain the AI is about the overall analysis. A score of 85 means the song strongly exhibits the defining characteristics of that genre. A score of 60 means the song shows some characteristics of that genre but also significant influence from other styles. Songs with multiple high confidence scores across different genres are genuinely genre-blending, and the AI accurately reflects this complexity rather than forcing a single label.

80 to 100Strong fit — the song clearly exhibits core genre characteristics
60 to 79Partial fit — notable influence but mixed with other styles
Multiple high scoresThe song genuinely blends multiple genres; this is accurate, not an error
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Lyrical vs Musical Moods

The analysis separates lyrical moods from musical moods because they can differ significantly. A song can have melancholic lyrics about loss set to energetic, upbeat music (common in pop and indie rock). The lyrical moods reflect the emotional content of the words themselves. The musical moods reflect the sonic and emotional character of the instrumentation, production, and arrangement. Reading both together gives a complete picture of how the song works emotionally.

Lyrical moodsThe emotions expressed by the words and narrative content
Musical moodsThe sonic and emotional character of the music itself
When they differCommon in pop, indie, and folk — the tension between them is often the point

Note: Analysis accuracy varies based on audio clarity, recording length, and lyrical audibility. Songs with inaudible or heavily processed vocals will have reduced lyrical analysis detail. Genre confidence scores reflect stylistic fit, not certainty.

Benefits

Why Use It

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Lyrics and Music Together

One report covers both the lyrical content (summary, themes, moods, language, explicit flag) and the musical characteristics (genres, subgenres, moods, instruments).

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Record or Upload

Record live audio from your browser microphone or upload MP3, WAV, M4A, OGG, WebM, or FLAC files. No extra software needed.

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Genre Confidence Scores

Genres and subgenres are listed with confidence scores out of 100, so you can see exactly how strongly a song fits each style.

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Instrument Detection

Every primary instrument and sound layer in the recording is identified — drums, guitar, synthesizer, bass, vocals, strings, and more.

Frequently Asked Questions

What does the AI Song Analyzer identify?

The tool produces a dual analysis in one report. The lyrics section covers: a flowing summary of the song's narrative and themes, a list of emotional moods expressed in the lyrics, core themes or subjects, the language of the lyrics, and whether the song contains explicit content. The music section covers: the top genres with confidence scores, specific subgenres with confidence scores, musical moods based on the sonic character, and the primary instruments detected.

What audio formats are supported?

MP3, WAV, M4A, OGG, WebM, and FLAC are all supported. You can also record directly in the browser, which creates a WebM audio file automatically. WAV and FLAC are lossless formats that produce the most detailed analysis. For the best lyrical analysis, include at least one verse and chorus — around 60 to 90 seconds.

What is the explicit content flag?

The explicit flag is a simple Yes or No that appears in the lyrics analysis section. It reflects whether the lyrics heard in the uploaded audio contain explicit language, profanity, or mature content. This is based on the lyrics audible in the specific audio clip uploaded, not on the song's official explicit rating from a streaming platform.

What is the difference between lyrical moods and musical moods?

Lyrical moods reflect the emotions expressed by the words themselves — the feelings conveyed by the narrative, imagery, and lyrical content. Musical moods reflect the sonic and emotional character of the music: the instrumentation, tempo, production style, and arrangement. A song can have melancholic lyrics set to energetic, upbeat music, or joyful words over a minor-key, somber arrangement. The analysis separates these so you can understand both dimensions of the song.

What do the genre confidence scores mean?

Confidence scores reflect how strongly the song matches each genre label out of 100. A score of 85 means the song strongly exhibits the core characteristics of that genre. A score of 60 means the song shows some characteristics of that genre alongside significant influence from other styles. Multiple high scores across different genres accurately reflect a genre-blending track rather than forcing a single label.

Does it work for instrumental songs?

Yes. For instrumental tracks, the lyrics section will correctly note that no audible lyrics were detected and mark the language as "Instrumental / No Lyrics." The music analysis section — genres, subgenres, moods, and instruments — runs in full and is unaffected by the absence of vocals.

How does duration-based pricing work?

The basic model costs 5 credits per minute of audio with a minimum of 10 credits. The advanced model costs 10 credits per minute with a minimum of 20 credits. Duration is rounded up to the nearest full minute. The estimated credit cost is displayed before you click Analyze Song so you can confirm before spending credits.

Get Started Free

Analyze Any Song Instantly

Sign up free and get 100 credits instantly. Upload any song and get a complete lyrics and music analysis in seconds.

Disclaimer: This tool uses generative AI technology which may produce content that resembles copyrighted materials or that is inaccurate, incomplete, or out-of-date. It is provided for general information and educational purposes only and is not intended for illegal activities or to replace professional advice, diagnosis, or treatment. Users are solely responsible for how they use the generated content. If you plan to use AI-generated content commercially or publicly, we strongly recommend reviewing it for potential copyright issues and obtaining proper permissions where necessary. We accept no liability for copyright infringement or any other consequences resulting from the use of content generated by this tool.