/hyperframes-creative

Audio-Reactive Animation

Drive visuals from music, voice, or sound. Any GSAP-animatable property can respond to pre-extracted audio data.

Audio Data Format

var AUDIO_DATA = {
  fps: 30,
  totalFrames: 900,
  frames: [{ bands: [0.82, 0.45, 0.31, ...] }, ...]
};

• frames[i].bands[] — frequency band amplitudes, 0-1. Index 0 = bass, higher = treble.
• Each band normalized independently across the full track.

Mapping Audio to Visuals

Any GSAP-tweenable property works — clipPath, filter, SVG attributes, CSS custom properties.

Content, Not Medium

Audio provides timing and intensity. The visual vocabulary comes from the narrative.

Never add: equalizer bars, spectrum analyzers, waveform displays, musical notes clip art, generic particle systems, rainbow color cycling, strobing white on beats, abstract pulsing orbs.

Instead: Let content guide the visual and audio drive its behavior. Bass makes warmth swell. Treble sharpens contrast. The visual choice comes from "what does this piece feel like?"

Sampling Pattern

Audio reactivity requires per-frame sampling via a for loop with tl.call(), not a single tween:

// ✅ Correct — sample every frame
for (var f = 0; f < AUDIO_DATA.totalFrames; f++) {
  tl.call(
    (function (frame) {
      return function () {
        draw(frame);
      };
    })(AUDIO_DATA.frames[f]),
    [],
    f / AUDIO_DATA.fps,
  );
}

// ❌ Wrong — single tween, doesn't react to audio
gsap.to(".el", { scale: 1.2, duration: totalDuration });

Without per-frame sampling, the composition doesn't actually react to audio.

textShadow Gotcha

textShadow on a parent container with semi-transparent children (e.g., inactive caption words at rgba(255,255,255,0.3)) renders a visible glow rectangle behind all children. Fix: apply scale to the container for beat pulse, but apply textShadow to individual active words only.

Guidelines

• Subtlety for text — 3-6% scale variation, soft glow. Heavy pulsing makes text unreadable.
• Go bigger on non-text — backgrounds and shapes can handle 10-30% swings.
• Match the energy — corporate = subtle; music video = dramatic.
• Deterministic — pre-extracted data, no Web Audio API, no runtime analysis.

Constraints

• All audio data must be pre-extracted (use extract-audio-data.py from this skill's scripts/)
• No Math.random() or Date.now()
• Audio reactivity runs on the same GSAP timeline as everything else