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Audio Transcription And Identification 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, identifiedText = "Universal Pictures Fanfare", transcriptionText = "Audio Universal Pictures David Newman Fanfare Universal Pictures Jerry Goldsmith Fanfare", primaryColor = "#1db954", barsCount = 100) {
    let width = originalImg.naturalWidth || originalImg.width || 800;
    let height = originalImg.naturalHeight || originalImg.height || 600;

    // Implement minimum dimensions to ensure the UI elements always look crisp and readable
    if (width < 600) {
        const ratio = 600 / width;
        width = 600;
        height = Math.round(height * ratio);
    }
    
    // Create rendering canvas
    const canvas = document.createElement("canvas");
    canvas.width = width;
    canvas.height = height;
    const ctx = canvas.getContext("2d");

    // 1. Draw source image as background album art
    ctx.drawImage(originalImg, 0, 0, width, height);

    // 2. Draw darkening gradient at the bottom to anchor text and visualizations
    const gradientHeight = height * 0.7;
    const gradient = ctx.createLinearGradient(0, height - gradientHeight, 0, height);
    gradient.addColorStop(0, "rgba(0, 0, 0, 0)");
    gradient.addColorStop(0.35, "rgba(0, 0, 0, 0.5)");
    gradient.addColorStop(0.65, "rgba(0, 0, 0, 0.85)");
    gradient.addColorStop(1, "rgba(0, 0, 0, 0.98)");
    ctx.fillStyle = gradient;
    ctx.fillRect(0, Math.max(0, height - gradientHeight), width, gradientHeight);

    // 3. Dynamic Text Layout Setup (Building systematically from bottom -> up)
    const transFontSize = Math.max(14, Math.floor(width * 0.024));
    const titleFontSize = Math.max(20, Math.floor(width * 0.038));
    const lineHeight = transFontSize * 1.5;
    const maxWidth = width * 0.85;
    
    ctx.font = `italic 400 ${transFontSize}px "Segoe UI", Roboto, Helvetica, Arial, sans-serif`;
    
    // Wrap Transcription Text
    const formattedTranscription = `“${transcriptionText}”`;
    const words = formattedTranscription.split(' ');
    let line = '';
    const lines = [];
    
    for (let n = 0; n < words.length; n++) {
        const testLine = line + words[n] + ' ';
        const metrics = ctx.measureText(testLine);
        if (metrics.width > maxWidth && n > 0) {
            lines.push(line);
            line = words[n] + ' ';
        } else {
            line = testLine;
        }
    }
    lines.push(line);

    // Calculate dynamic anchor positions
    const lowerMargin = Math.max(30, height * 0.06);
    const transcriptionStartY = height - lowerMargin - ((lines.length - 1) * lineHeight);
    const titleY = transcriptionStartY - titleFontSize - 15;

    // 4. Waveform Visualizer Extrapolator
    const numBars = parseInt(barsCount, 10) || 100;
    const maxAmp = height * 0.15; 
    const waveformLayerY = titleY - (maxAmp / 2) - 25;
    
    // Extract Image Data for pixel-based waveform simulation (if cross-origin permitted)
    let imgData = null;
    try {
        imgData = ctx.getImageData(0, 0, width, height).data;
    } catch (e) {
        console.warn("Canvas tainted due to CORS constraints; falling back to algorithmic waveform pattern.");
    }

    const barWidth = width / numBars;
    ctx.fillStyle = primaryColor;

    for (let i = 0; i < numBars; i++) {
        const x = i * barWidth;
        const pxX = Math.floor(x + barWidth / 2);
        let intensity = 0.5;

        // If possible, drive waveform through pixel brightness extraction for authentic "image" audio mapping
        if (imgData) {
            let sumBrightness = 0;
            let samples = 15;
            for (let j = 0; j < samples; j++) {
                let py = Math.floor(height * (j / samples));
                let pIndex = (py * width + pxX) * 4;
                let r = imgData[pIndex];
                let g = imgData[pIndex + 1];
                let b = imgData[pIndex + 2];
                sumBrightness += ((0.299 * r + 0.587 * g + 0.114 * b) / 255) || 0;
            }
            const avgBrightness = sumBrightness / samples;
            const waveNoise = Math.abs(Math.sin(i * 0.6) * Math.cos(i * 1.7));
            intensity = (avgBrightness * 0.3) + (waveNoise * 0.7);
        } else {
            intensity = Math.abs(Math.sin(i * 0.6) * Math.cos(i * 1.7)); // Fallback synthesis
        }

        // Apply a center envelope (Hanning-style window) so waveform smooths at the edges
        const envelope = Math.sin((i / numBars) * Math.PI);
        intensity = intensity * envelope;

        let h = intensity * maxAmp;
        h = Math.max(h, maxAmp * 0.05);

        const barActualWidth = barWidth * 0.6;
        const barX = x + (barWidth * 0.2);
        const barY = waveformLayerY - h / 2;

        // Plot pill-shaped bar primitives
        let radius = barActualWidth / 2;
        if (h < 2 * radius) radius = h / 2;
        ctx.beginPath();
        ctx.moveTo(barX + radius, barY);
        ctx.arcTo(barX + barActualWidth, barY, barX + barActualWidth, barY + h, radius);
        ctx.arcTo(barX + barActualWidth, barY + h, barX, barY + h, radius);
        ctx.arcTo(barX, barY + h, barX, barY, radius);
        ctx.arcTo(barX, barY, barX + barActualWidth, barY, radius);
        ctx.closePath();
        ctx.fill();
    }

    // 5. Audio Identify Display Tools & Player Element
    const playBtnRadius = Math.max(25, width * 0.035);
    const playBtnY = waveformLayerY - (maxAmp / 2) - playBtnRadius - 20;

    // Master Play Circle
    ctx.beginPath();
    ctx.arc(width / 2, playBtnY, playBtnRadius, 0, Math.PI * 2);
    ctx.fillStyle = primaryColor;
    ctx.shadowColor = "rgba(0, 0, 0, 0.4)";
    ctx.shadowBlur = 10;
    ctx.fill();
    
    // Clear shadow footprint
    ctx.shadowColor = "transparent";
    ctx.shadowBlur = 0;

    // Playback SVG Triangle Anchor
    ctx.beginPath();
    const triSize = playBtnRadius * 0.45;
    ctx.moveTo((width / 2) - triSize * 0.3, playBtnY - triSize * 0.85);
    ctx.lineTo((width / 2) + triSize * 0.9, playBtnY);
    ctx.lineTo((width / 2) - triSize * 0.3, playBtnY + triSize * 0.85);
    ctx.fillStyle = "#ffffff";
    ctx.fill();

    // 6. Draw Final Textual Analysis Output Overlay
    ctx.textAlign = "center";
    ctx.textBaseline = "middle";
    
    // Identification Output Matrix Header
    const displayTitleText = identifiedText.toLowerCase().startsWith("identified") ? identifiedText : `IDENTIFIED: ${identifiedText}`;
    ctx.fillStyle = primaryColor;
    ctx.font = `800 ${titleFontSize}px "Segoe UI", Roboto, Helvetica, Arial, sans-serif`;
    ctx.fillText(displayTitleText.toUpperCase(), width / 2, titleY);

    // Output Machine Transcription Paragraph
    ctx.fillStyle = "#ffffff";
    ctx.font = `italic 400 ${transFontSize}px "Segoe UI", Roboto, Helvetica, Arial, sans-serif`;
    let drawY = transcriptionStartY;
    
    for (let k = 0; k < lines.length; k++) {
        ctx.fillText(lines[k].trim(), width / 2, drawY);
        drawY += lineHeight;
    }

    // Return completely rendered tool representation visually
    return canvas;
}

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Description

This tool allows users to create stylized visual overlays for audio content by combining images with transcription text and identification details. It generates an aesthetic graphic that features a background image, a dynamic waveform visualizer, and formatted text layers including the identified audio title and a full transcript. This is ideal for content creators looking to produce professional-looking social media assets, album art, or video thumbnails that visually represent audio clips or musical tracks.

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