AI Music Visualizer Generator

What you get

A visualizer at the aspect ratio your destination needs — short vertical loops for streaming-platform canvases (3–8 seconds, 9:16), full-length horizontal clips for YouTube audio uploads (16:9), square loops (1:1), or vertical teasers for TikTok and Reels (15–60 seconds, 9:16). Multiple exports from one source song.

Who it's for

• Independent musicians needing visuals for every release across streaming platforms.
• Podcasters publishing audio episodes who need video assets for YouTube and social.
• Producers and beat-makers showcasing tracks on social media.
• Labels and managers producing release-day visualizer assets at scale.

How it works

Pick the destination first (vertical canvas, YouTube horizontal, square, or vertical short-form) so the AI optimizes aspect ratio and length. Upload the song; choose Slideshow mode for fast Ken Burns motion or Animated mode for cinematic AI-generated visuals.

For looped visualizers pick your strongest section of the song (typically a chorus). The AI cuts at beat-aligned boundaries so the loop point feels musical rather than abrupt. Export in the highest resolution your tier supports.

How our beat detection works

Every uploaded or generated audio file runs through librosa — the industry-standard Python audio analysis library — to extract four signals: BPM (tempo), downbeat timestamps (the start of every musical bar), macro section boundaries (verse / chorus / bridge), and chorus/drop detection.

BPM and beats use librosa.beat.beat_track with tightness=60 for tighter alignment on dance and pop tracks. Section boundaries come from agglomerative clustering on chroma self-similarity — the same technique used in academic music structure analysis. Drops are detected as RMS energy spikes greater than 10% between four-second windows at bar boundaries.

The screenwriter receives this data as advisory CONTEXT and prefers aligning scene starts to nearby downbeats, while lyric timing always wins over bar alignment so vocals never get cut. At compose time, scene boundaries within 0.3 seconds of a detected drop are auto-upgraded to a hard cut for chorus-entry impact — boundary timing is never moved, only the transition type changes. Always-on across all video modes, no toggle, no extra credit cost.

Pricing

Slideshow visualizers run ~80 credits per minute. Animated visualizers run ~240 credits per minute. An 8-second short loop typically costs in the tens of credits. $1 = 100 credits, with up to +100% bonus on larger purchases — see /pricing for the live calculator.