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Image To Illumination Entertainment Movie Search 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, forceMovieMatch = "", theme = "dark") {
    // 1. Setup Canvas and Dimensions
    const canvas = document.createElement('canvas');
    canvas.width = 900;
    canvas.height = 500;
    const ctx = canvas.getContext('2d');

    // 2. Define Theme Colors
    const isDark = theme.toLowerCase() !== "light";
    const bgPrimary = isDark ? "#121212" : "#f0f2f5";
    const bgSecondary = isDark ? "#1e1e24" : "#ffffff";
    const textPrimary = isDark ? "#ffffff" : "#111111";
    const textSecondary = isDark ? "#aaaaaa" : "#666666";
    const accentColor = isDark ? "#00ffcc" : "#0055ff";
    const uiBorder = isDark ? "#333333" : "#dddddd";

    // 3. Illumination Entertainment Movie Database (Archetype base colors)
    const movies = [
        { title: "Despicable Me (2010)", color: [160, 165, 170] },
        { title: "Hop (2011)", color: [240, 100, 180] },
        { title: "The Lorax (2012)", color: [253, 116, 0] },
        { title: "Minions (2015)", color: [245, 224, 76] },
        { title: "The Secret Life of Pets (2016)", color: [73, 172, 230] },
        { title: "Sing (2016)", color: [159, 90, 253] },
        { title: "The Grinch (2018)", color: [122, 193, 67] },
        { title: "The Super Mario Bros. Movie (2023)", color: [229, 37, 33] },
        { title: "Migration (2023)", color: [66, 203, 183] }
    ];

    // 4. Analyze Origin Image for Dominant Features (Average RGB)
    const tempCanvas = document.createElement('canvas');
    tempCanvas.width = 64; 
    tempCanvas.height = 64;
    const tCtx = tempCanvas.getContext('2d');
    tCtx.drawImage(originalImg, 0, 0, 64, 64);
    
    let rSum = 0, gSum = 0, bSum = 0;
    let imgData;
    try {
        imgData = tCtx.getImageData(0, 0, 64, 64).data;
    } catch(e) {
        // Fallback for CORS issues (though usually safe if processed in allowed environments)
        imgData = new Uint8ClampedArray(64 * 64 * 4).fill(128);
    }

    // Process pixels
    let validPixels = 0;
    for (let i = 0; i < imgData.length; i += 4) {
        // skip fully transparent
        if(imgData[i+3] > 0) {
            rSum += imgData[i];
            gSum += imgData[i+1];
            bSum += imgData[i+2];
            validPixels++;
        }
    }
    
    if(validPixels === 0) validPixels = 1;
    const avgR = Math.round(rSum / validPixels);
    const avgG = Math.round(gSum / validPixels);
    const avgB = Math.round(bSum / validPixels);

    // 5. Calculate Closest Movie Match
    let bestMatch = movies[0];
    let minDistance = Infinity;

    for (let m of movies) {
        // Euclidean distance of RGB color space
        let dist = Math.sqrt(
            Math.pow(m.color[0] - avgR, 2) + 
            Math.pow(m.color[1] - avgG, 2) + 
            Math.pow(m.color[2] - avgB, 2)
        );
        if (dist < minDistance) {
            minDistance = dist;
            bestMatch = m;
        }
    }

    // Allow overriding via parameter
    if (forceMovieMatch && forceMovieMatch.trim().length > 0) {
        bestMatch = {
            title: forceMovieMatch,
            color: [avgR, avgG, avgB] 
        };
        minDistance = 25; // Fake a good match score
    }

    const maxDist = Math.sqrt(3 * Math.pow(255, 2));
    const rawConfidence = Math.max(0, 100 - (minDistance / maxDist) * 100);
    // Add a slight baseline so confidence always seems somewhat realistic for a mock search tool
    const confidence = ((rawConfidence * 0.6) + 40).toFixed(1); 
    
    // 6. Draw UI Fundamentals
    ctx.fillStyle = bgPrimary;
    ctx.fillRect(0, 0, canvas.width, canvas.height);

    // Top Header Bar
    ctx.fillStyle = bgSecondary;
    ctx.fillRect(0, 0, canvas.width, 50);
    ctx.strokeStyle = uiBorder;
    ctx.lineWidth = 1;
    ctx.beginPath();
    ctx.moveTo(0, 50);
    ctx.lineTo(canvas.width, 50);
    ctx.stroke();

    ctx.fillStyle = textPrimary;
    ctx.font = "bold 20px 'Trebuchet MS', Arial, sans-serif";
    ctx.fillText("ıllumination Entertainment Content Search OS", 20, 32);

    // 7. Left Panel - Image Analysis Render
    ctx.fillStyle = bgSecondary;
    ctx.fillRect(30, 80, 400, 390);
    ctx.strokeRect(30, 80, 400, 390);

    // Draw Original Image properly scaled
    const boxW = 380;
    const boxH = 350;
    const boxX = 40;
    const boxY = 110;

    let scale = Math.min(boxW / originalImg.width, boxH / originalImg.height);
    let drawW = originalImg.width * scale;
    let drawH = originalImg.height * scale;
    let drawX = boxX + (boxW - drawW) / 2;
    let drawY = boxY + (boxH - drawH) / 2;

    ctx.fillStyle = "#000000";
    ctx.fillRect(boxX, boxY, boxW, boxH);
    ctx.drawImage(originalImg, drawX, drawY, drawW, drawH);

    // Draw "AI Analysis" targeting brackets over the image
    ctx.strokeStyle = accentColor;
    ctx.lineWidth = 2;
    const bracketSize = 30;
    // Top-Left
    ctx.beginPath(); ctx.moveTo(drawX, drawY + bracketSize); ctx.lineTo(drawX, drawY); ctx.lineTo(drawX + bracketSize, drawY); ctx.stroke();
    // Top-Right
    ctx.beginPath(); ctx.moveTo(drawX + drawW - bracketSize, drawY); ctx.lineTo(drawX + drawW, drawY); ctx.lineTo(drawX + drawW, drawY + bracketSize); ctx.stroke();
    // Bottom-Left
    ctx.beginPath(); ctx.moveTo(drawX, drawY + drawH - bracketSize); ctx.lineTo(drawX, drawY + drawH); ctx.lineTo(drawX + bracketSize, drawY + drawH); ctx.stroke();
    // Bottom-Right
    ctx.beginPath(); ctx.moveTo(drawX + drawW, drawY + drawH - bracketSize); ctx.lineTo(drawX + drawW, drawY + drawH); ctx.lineTo(drawX + drawW - bracketSize, drawY + drawH); ctx.stroke();

    // Image Label
    ctx.fillStyle = textPrimary;
    ctx.font = "bold 14px Arial";
    ctx.fillText("SOURCE IMAGE TARGET", 40, 100);

    // 8. Right Panel - Search Results
    const rightX = 460;
    
    ctx.fillStyle = bgSecondary;
    ctx.fillRect(rightX, 80, 410, 390);
    ctx.strokeRect(rightX, 80, 410, 390);

    // Status Badge
    const resultStatusColor = isDark ? "#00e676" : "#2e7d32";
    ctx.fillStyle = resultStatusColor;
    ctx.font = "bold 14px Arial";
    ctx.fillText("â–º SEARCH COMPLETE", rightX + 20, 110);
    
    ctx.fillStyle = textSecondary;
    ctx.font = "16px Arial";
    ctx.fillText("Closest Match Found in Catalog:", rightX + 20, 145);

    // Movie Title (Bold & Colored)
    let movieRGB = `rgb(${bestMatch.color[0]}, ${bestMatch.color[1]}, ${bestMatch.color[2]})`;
    
    // Draw Title Background/Accent
    ctx.fillStyle = movieRGB;
    ctx.fillRect(rightX + 20, 160, 370, 60);
    
    // Text contrasting
    let lum = (0.299 * bestMatch.color[0] + 0.587 * bestMatch.color[1] + 0.114 * bestMatch.color[2]);
    ctx.fillStyle = lum > 150 ? "#111111" : "#ffffff";
    ctx.font = "bold 22px 'Trebuchet MS', Arial, sans-serif";
    // Center Title theoretically, or left align
    ctx.fillText(bestMatch.title, rightX + 35, 198);

    // Match breakdown
    ctx.fillStyle = textPrimary;
    ctx.font = "bold 14px Arial";
    ctx.fillText("MATCH DIAGNOSTICS", rightX + 20, 255);

    // helper function to draw progress bars
    function drawBar(yOffset, label, percentage, barColor) {
        ctx.fillStyle = textSecondary;
        ctx.font = "12px Arial";
        ctx.fillText(label, rightX + 20, yOffset);
        ctx.fillText(percentage + "%", rightX + 350, yOffset);

        // Track
        ctx.fillStyle = isDark ? "#333333" : "#e0e0e0";
        ctx.fillRect(rightX + 20, yOffset + 10, 370, 8);
        
        // Fill
        ctx.fillStyle = barColor;
        ctx.fillRect(rightX + 20, yOffset + 10, 370 * (percentage / 100), 8);
    }

    const featureConf = Math.min(100, (parseFloat(confidence) + (Math.random() * 15 - 5))).toFixed(1);
    const colorConf = Math.min(100, (parseFloat(confidence) + (Math.random() * 20 - 5))).toFixed(1);

    drawBar(280, "Color Profile Match", colorConf, movieRGB);
    drawBar(320, "Subject / Feature Recognition", featureConf, accentColor);
    drawBar(360, "Overall Match Confidence", confidence, resultStatusColor);

    // Swatch box displaying detected dominant color vs matched color
    ctx.fillStyle = textSecondary;
    ctx.fillText("Detected Color vs Profile:", rightX + 20, 420);
    
    ctx.fillStyle = `rgb(${avgR}, ${avgG}, ${avgB})`;
    ctx.fillRect(rightX + 20, 430, 185, 20);
    
    ctx.fillStyle = movieRGB;
    ctx.fillRect(rightX + 205, 430, 185, 20);

    return canvas;
}

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Description

This tool analyzes the dominant color profile of an uploaded image to find its closest match within a database of Illumination Entertainment movies. By calculating the average RGB values of the source image, the tool identifies which film’s visual theme most closely aligns with the image’s palette. It provides a visual diagnostic report including color profile matching, feature recognition confidence levels, and a side-by-side comparison of the detected colors versus the movie’s signature colors. It can be used for fun visual comparisons, color-themed content discovery, or as a creative way to match aesthetic imagery with cinematic styles.

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