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Dingbats Logo Compilation Image Generator

(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, cellSize = 10, dingbatsStr = ' ✢✤✥✦✧★✩✪✫✬✭✮✯✰✱✲✳✴✵✶✷✸✹✺✻✼✽✾✿❀❁❂❃❄❅❆❇❈❉❊❋❍❏❐❑❒❖❘❙❚❤❥❦❧➔➕➖', bgColor = '#ffffff', useOriginalColor = 1, overrideColor = '#000000') {
    // Validate and parse parameters
    cellSize = Number(cellSize) || 10;
    if (cellSize < 2) cellSize = 2; // Prevent performance issues with extremely small grid cells
    
    const isOriginalColor = Number(useOriginalColor) !== 0;

    // Deduplicate and get characters (handles complex Unicode surrogate pairs)
    const chars = Array.from(new Set(Array.from(dingbatsStr)));
    if (chars.length === 0) chars.push(' ');

    // Pre-calculate visual density of each dingbat character map
    const measureCanvas = document.createElement('canvas');
    measureCanvas.width = 40;
    measureCanvas.height = 40;
    const mCtx = measureCanvas.getContext('2d', { willReadFrequently: true });
    mCtx.font = '24px sans-serif';
    mCtx.textBaseline = 'middle';
    mCtx.textAlign = 'center';

    const charDensities = chars.map(char => {
        mCtx.clearRect(0, 0, 40, 40);
        mCtx.fillStyle = '#000000';
        mCtx.fillText(char, 20, 20);
        
        const data = mCtx.getImageData(0, 0, 40, 40).data;
        let density = 0;
        for (let i = 3; i < data.length; i += 4) {
            density += data[i]; // Sum of the alpha channel maps to visual density
        }
        return { char, density };
    });

    // Sort ascending (lowest density/lightest first to highest density/darkest last)
    charDensities.sort((a, b) => a.density - b.density);
    const sortedChars = charDensities.map(c => c.char);

    const width = originalImg.naturalWidth || originalImg.width;
    const height = originalImg.naturalWidth || originalImg.height;

    // Read original image pixels
    const offCanvas = document.createElement('canvas');
    offCanvas.width = width;
    offCanvas.height = height;
    const offCtx = offCanvas.getContext('2d', { willReadFrequently: true });
    offCtx.drawImage(originalImg, 0, 0, width, height);

    let imgData;
    try {
        imgData = offCtx.getImageData(0, 0, width, height).data;
    } catch (e) {
        // Fallback for CORS origin tainted canvas issues
        const errCanvas = document.createElement('canvas');
        errCanvas.width = Math.max(width, 400);
        errCanvas.height = Math.max(height, 100);
        const errCtx = errCanvas.getContext('2d');
        errCtx.fillStyle = '#ffffff';
        errCtx.fillRect(0, 0, errCanvas.width, errCanvas.height);
        errCtx.fillStyle = '#ff0000';
        errCtx.font = '16px sans-serif';
        errCtx.fillText("Error: Canvas tainted by cross-origin data. Cannot read image pixels.", 20, 40);
        return errCanvas;
    }

    // Output generation
    const outCanvas = document.createElement('canvas');
    outCanvas.width = width;
    outCanvas.height = height;
    const outCtx = outCanvas.getContext('2d');

    // Fill the background
    outCtx.fillStyle = bgColor;
    outCtx.fillRect(0, 0, width, height);

    outCtx.textBaseline = 'middle';
    outCtx.textAlign = 'center';
    
    // Scale the font size slightly above cellSize to remove extra gaps but keep grid alignment
    outCtx.font = `${Math.floor(cellSize * 1.1)}px Arial, sans-serif`;

    const numChars = sortedChars.length;

    // Process grid cells
    for (let y = 0; y < height; y += cellSize) {
        for (let x = 0; x < width; x += cellSize) {
            // Get center pixel of the current grid cell
            let sampleX = Math.min(x + Math.floor(cellSize / 2), width - 1);
            let sampleY = Math.min(y + Math.floor(cellSize / 2), height - 1);

            const i = (sampleY * width + sampleX) * 4;
            const r = imgData[i];
            const g = imgData[i + 1];
            const b = imgData[i + 2];
            const a = imgData[i + 3];

            // Ignore transparent pixels
            if (a < 128) continue;

            // Calculate luminance/brightness of original pixel (returns 0-255)
            const brightness = (r * 0.299 + g * 0.587 + b * 0.114); 
            
            // Map brightness to sorted index
            // 255 (white/bright) -> Lightest character (index 0)
            // 0 (black/dark) -> Darkest character (index numChars - 1)
            let mappedIndex = Math.floor((1 - brightness / 255) * (numChars - 1));
            
            // Safety bounds
            if (mappedIndex < 0) mappedIndex = 0;
            if (mappedIndex >= numChars) mappedIndex = numChars - 1;

            const selectedChar = sortedChars[mappedIndex];

            // Apply color
            if (isOriginalColor) {
                outCtx.fillStyle = `rgb(${r}, ${g}, ${b})`;
            } else {
                outCtx.fillStyle = overrideColor;
            }

            // Draw dingbat logotype
            outCtx.fillText(selectedChar, x + cellSize / 2, y + cellSize / 2);
        }
    }

    return outCanvas;
}

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Description

The Dingbats Logo Compilation Image Generator is a creative tool that transforms standard images into artistic compositions made entirely of dingbat symbols and decorative characters. By analyzing the brightness and color of the original image, the tool maps different symbols to specific luminance levels, effectively recreating the visual structure of the photo through a grid of icons. Users can customize the output by choosing specific symbol sets, adjusting the grid cell size, selecting background colors, and deciding whether to preserve the original colors or use a single override color. This tool is ideal for designers looking to create stylized social media avatars, unique textures, artistic wallpapers, or decorative graphic elements for web and print media.

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