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Kurdish Dubbing Audio To Image Visualizer Tool

(Free & Supports Bulk Upload)

Drag & drop your images here or

The result will appear here...
You can edit the below JavaScript code to customize the image tool.
function processImage(originalImg, overlayText = "Kurdish Dub (Shirzad Sendi)", subtitleKurdish = "شێرزاد سەندی - Dubbing", waveColor = "#ffcc00", style = "bars", barCountStr = "64") {
    // Create the canvas element to be returned
    const canvas = document.createElement('canvas');
    const ctx = canvas.getContext('2d');
    
    // Set dimensions
    const width = originalImg.width;
    const height = originalImg.height;
    canvas.width = width;
    canvas.height = height;

    const barCount = parseInt(barCountStr, 10) || 64;
    let animationFrameId;

    // Internal state to simulate audio visualizer reacting to a voice
    const bars = [];
    for (let i = 0; i < barCount; i++) {
        bars.push({
            targetHeight: 5,
            currentHeight: 5
        });
    }

    function draw() {
        // Clear and draw original image
        ctx.clearRect(0, 0, width, height);
        ctx.drawImage(originalImg, 0, 0, width, height);

        // Draw a cinematic dark gradient overlay at the bottom 40% for visual clarity
        const grad = ctx.createLinearGradient(0, height * 0.6, 0, height);
        grad.addColorStop(0, 'rgba(0,0,0,0)');
        grad.addColorStop(1, 'rgba(0,0,0,0.85)');
        ctx.fillStyle = grad;
        ctx.fillRect(0, 0, width, height); 

        const time = Date.now() / 1000;
        const maxBarHeight = height * 0.20;
        const totalWaveWidth = width * 0.8;
        const barWidth = totalWaveWidth / barCount;
        const startX = (width - totalWaveWidth) / 2;
        const startY = height * 0.70;

        ctx.shadowColor = waveColor;
        ctx.shadowBlur = 15;
        
        // Voice simulation logic (Generates pseudo-random envelopes)
        const isSpeaking = Math.sin(time * 2) > -0.5; // Controls bursts of "speech"
        
        if (style.toLowerCase() === "line") {
            ctx.beginPath();
            ctx.strokeStyle = waveColor;
            ctx.lineWidth = Math.max(2, width * 0.005);
            ctx.lineJoin = "round";
        } else {
            ctx.fillStyle = waveColor;
        }

        for (let i = 0; i < barCount; i++) {
            const b = bars[i];
            
            // Random vocal amplitude simulation
            if (isSpeaking && Math.random() < 0.2) {
                // Mix sine waves to make it feel organic like voice formants
                const speechSim = (Math.sin(time * 10 + i * 0.2) + Math.cos(time * 15 - i * 0.1)) / 2;
                const intensity = Math.max(0, speechSim); 
                b.targetHeight = Math.max(5, (intensity * Math.random()) * maxBarHeight);
            } else if (!isSpeaking || Math.random() < 0.1) {
                b.targetHeight = 5; // Fall back to baseline
            }

            // Smoothly ease the current height to the target for realistic motion
            b.currentHeight += (b.targetHeight - b.currentHeight) * 0.25;

            const x = startX + i * barWidth;
            const h = b.currentHeight;
            const y = startY - h / 2;

            if (style.toLowerCase() === "line") {
                if (i === 0) {
                    ctx.moveTo(x + barWidth/2, y);
                } else {
                    ctx.lineTo(x + barWidth/2, y);
                }
            } else {
                // Default to bars
                if (ctx.roundRect) {
                    ctx.beginPath();
                    ctx.roundRect(x + (barWidth * 0.1), y, barWidth * 0.8, h, barWidth / 2);
                    ctx.fill();
                } else {
                    ctx.fillRect(x + (barWidth * 0.1), y, barWidth * 0.8, h);
                }
            }
        }
        
        if (style.toLowerCase() === "line") {
            ctx.stroke();
        }
        
        ctx.shadowBlur = 0; // Reset shadow for text

        // Text Overlay Setup (Simulating Subtitles/Dubbing Credits)
        ctx.textAlign = "center";
        ctx.shadowColor = "black";
        ctx.shadowBlur = 8;
        ctx.shadowOffsetX = 2;
        ctx.shadowOffsetY = 2;

        // Draw Kurdish Subtitle
        ctx.font = `bold ${Math.max(24, height * 0.05)}px "Courier New", Arial, sans-serif`;
        ctx.fillStyle = "#ffff00"; // Subtitle Yellow
        ctx.fillText(subtitleKurdish, width / 2, height * 0.86);

        // Draw Main Tool/Branding Text
        ctx.font = `bold ${Math.max(16, height * 0.03)}px Arial, sans-serif`;
        ctx.fillStyle = "#ffffff";
        ctx.fillText(overlayText, width / 2, height * 0.93);

        // Reset Shadows
        ctx.shadowBlur = 0;
        ctx.shadowOffsetX = 0;
        ctx.shadowOffsetY = 0;

        animationFrameId = requestAnimationFrame(draw);
    }

    // Attach method allowing developers to halt animation when canvas is removed
    canvas.stopAnimation = function() {
        if (animationFrameId) {
            cancelAnimationFrame(animationFrameId);
        }
    };

    // Kick off the loop
    draw();

    return canvas;
}

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Description

This tool allows users to transform a static image into a dynamic visualizer by overlaying simulated audio waveforms and text. It can add cinematic elements such as dark gradients, customizable bar or line-style wave animations, and Kurdish text overlays or subtitles. This tool is ideal for content creators looking to create engaging social media posts, video previews, or visual representations of dubbing and voiceover work for Kurdish language media.

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