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
AI Song Analyzer
Record or upload any song to get a dual analysis: lyrical themes, moods, and language — plus musical genres, subgenres, moods, and instruments.
Record or upload a song to analyze
MP3, WAV, M4A, OGG, WebM, FLAC
Uses third-party AI. Credits are consumed upon analysis.
Results
Song Analysis
AI Song Analyzer
Record or upload a song on the left, then click Analyze Song.
- Lyrics summary, themes, and emotional moods
- Language detection and explicit content flag
- Genres and subgenres with confidence scores
- Musical moods and instruments


Lyrics Decoded — Themes, Moods, and Context
The lyrics analysis section opens with a flowing summary of the song's narrative and emotional arc, capturing the central story, imagery, and meaning. It then lists the dominant moods expressed in the words (e.g. "Nostalgic, Defiant, Introspective") and the core themes (e.g. "Identity, Loss, Resilience"). The language is detected automatically, and the explicit flag tells you at a glance whether the lyrics contain mature content. This makes the tool useful for parents, playlist curators, music teachers, and anyone who wants to understand a song beyond its surface.
Analyze Song Lyrics
Genre and Subgenre with Confidence Scores
The music analysis goes beyond a single genre label. It identifies the top 3 to 5 genres the track fits, each with a confidence score out of 100, so you can see whether a song is firmly in one genre or blends several. The subgenre breakdown goes further — identifying specific niches like "Post-Rock," "Synth-Pop," or "Gothic Rock" with their own confidence scores. This gives producers, DJs, playlist curators, and music writers a precise vocabulary for describing the sound.
Identify the Genre


Musical Moods and Instruments Detected
Separate from the lyrical moods, the musical mood section captures the sonic emotional quality of the track — how the music itself feels, independent of the words (e.g. "Energetic," "Melancholic," "Uplifting"). The instruments section lists every primary instrument and sound layer detected in the recording: drums, guitar, synthesizer, bass, vocals, strings, and more. Together these sections give you a complete sonic fingerprint of the song without needing to describe it yourself.
Detect InstrumentsHow to Analyze a Song
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.
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.
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
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.

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



