File size: 1,434 Bytes
eeb9404 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | 'use client';
import { useEffect, useRef } from 'react';
import { cn } from '@/lib/utils';
/**
* AudioSpectrogram — draws live FFT bars from a recording AnalyserNode.
* Purely visual feedback while the mic is capturing.
*/
export function AudioSpectrogram({
analyser,
className,
}: {
analyser: AnalyserNode | null;
className?: string;
}) {
const canvasRef = useRef<HTMLCanvasElement>(null);
useEffect(() => {
const canvas = canvasRef.current;
if (!analyser || !canvas) return;
const ctx = canvas.getContext('2d');
if (!ctx) return;
const bins = analyser.frequencyBinCount;
const data = new Uint8Array(bins);
let raf = 0;
const draw = () => {
raf = requestAnimationFrame(draw);
analyser.getByteFrequencyData(data);
const w = canvas.width;
const h = canvas.height;
ctx.clearRect(0, 0, w, h);
const barW = w / bins;
for (let i = 0; i < bins; i++) {
const v = data[i] / 255;
const barH = Math.max(2, v * h);
// primary accent, brighter with level
ctx.fillStyle = `rgba(255, 91, 30, ${0.3 + v * 0.7})`;
ctx.fillRect(i * barW, (h - barH) / 2, Math.max(1, barW - 1), barH);
}
};
draw();
return () => cancelAnimationFrame(raf);
}, [analyser]);
return (
<canvas
ref={canvasRef}
width={240}
height={28}
className={cn('h-7 w-full', className)}
/>
);
}
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