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YouTube Stats For Nerds Audio Volume Normalization Analyzer

(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.
async function processImage(originalImg, bgColor = "#161b22", accentColor = "#58a6ff") {
    // Dynamically load Tesseract.js (v5) if it's not already on the page
    if (!window.Tesseract) {
        await new Promise((resolve, reject) => {
            const script = document.createElement('script');
            script.src = "https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js";
            script.onload = resolve;
            script.onerror = () => reject(new Error("Failed to load Tesseract OCR engine."));
            document.head.appendChild(script);
        });
    }

    let text = "";
    try {
        // Run OCR on the original image
        const result = await window.Tesseract.recognize(originalImg, 'eng');
        text = result.data.text || "";
    } catch (e) {
        console.error("OCR Error:", e);
        text = "";
    }

    // Outer Container
    const container = document.createElement('div');
    container.style.cssText = `
        background: ${bgColor}; 
        color: #e6edf3; 
        font-family: system-ui, -apple-system, sans-serif; 
        padding: 24px; 
        border-radius: 12px; 
        box-shadow: 0 8px 24px rgba(0,0,0,0.4); 
        max-width: 650px; 
        display: flex; 
        flex-direction: column; 
        gap: 20px;
    `;

    // 1. Image Thumbnail
    const imgWrapper = document.createElement('div');
    imgWrapper.style.cssText = `
        text-align: center; 
        border-radius: 8px; 
        overflow: hidden; 
        background: rgba(0,0,0,0.5); 
        display: flex; 
        justify-content: center; 
        align-items: center; 
        padding: 12px; 
        border: 1px solid rgba(255,255,255,0.1);
    `;
    
    // Create a small preview canvas to safely display without external links
    const maxImgHeight = 220;
    const thumbCanvas = document.createElement('canvas');
    let ratio = originalImg.width / originalImg.height;
    let tHeight = Math.min(originalImg.height, maxImgHeight);
    let tWidth = tHeight * ratio;
    
    // Prevent overflowing the container's max width
    if (tWidth > 600) {
        tWidth = 600;
        tHeight = tWidth / ratio;
    }
    
    thumbCanvas.width = tWidth;
    thumbCanvas.height = tHeight;
    thumbCanvas.style.cssText = "border-radius: 4px;";
    const tctx = thumbCanvas.getContext('2d');
    tctx.drawImage(originalImg, 0, 0, tWidth, tHeight);
    imgWrapper.appendChild(thumbCanvas);
    container.appendChild(imgWrapper);

    // 2. Header
    const header = document.createElement('h3');
    header.style.cssText = `
        margin: 0; 
        color: ${accentColor}; 
        font-size: 22px; 
        border-bottom: 2px solid rgba(255,255,255,0.1); 
        padding-bottom: 12px;
    `;
    header.innerText = "Stats for Nerds Volume Analysis";
    container.appendChild(header);

    // 3. Audio Data Parse Logic
    let parsedLines = [];
    let loudnessText = "";

    // Parse Percentages (usually Volume / Normalized Volume are the primary percentages)
    let pctMatch = [...text.matchAll(/([\d\.]+)%/g)].map(m => m[1]);
    if (pctMatch.length >= 2) {
        parsedLines.push(`Player Volume: <strong style="color:#fff">${pctMatch[0]}%</strong> | Normalized Volume: <strong style="color:#fff">${pctMatch[1]}%</strong>`);
    } else if (pctMatch.length === 1) {
         parsedLines.push(`Player Volume: <strong style="color:#fff">${pctMatch[0]}%</strong>`);
    }

    // Parse dB (Loudness stats)
    let stdMatch = text.match(/loudness[^\d-]*([-+]*[\d\.]+)\s*dB/i); // Standard Desktop YouTube format
    let stMatch = text.match(/\(\s*([-+]*[\d\.]+)\s*dB\s*\/\s*([-+]*[\d\.]+)\s*dB\s*\)/i); // Android TV / SmartTube format

    if (stdMatch) {
        let l = parseFloat(stdMatch[1]);
        parsedLines.push(`Content Loudness: <strong style="color:#fff">${l} dB</strong> (relative to target)`);
        
        if (l > 0) {
            loudnessText = `Audio is <strong style="color:#fff">${l}dB LOUDER</strong> than the platform's target (-14 LUFS). The video player applies compression limiters (scales the volume down) to match other videos and prevent clipping.`;
        } else if (l < 0) {
            loudnessText = `Audio is <strong style="color:#fff">${Math.abs(l)}dB QUIETER</strong> than the platform's target. YouTube does NOT artificially boost audio above 100%, so this video may sound quieter than standard videos.`;
        } else {
            loudnessText = `Audio is <strong style="color:#fff">EXACTLY</strong> at the platform's target loudness. It plays in pristine, uncompressed quality exactly as uploaded.`;
        }
    } else if (stMatch) {
        let cur = parseFloat(stMatch[1]);
        let tgt = parseFloat(stMatch[2]);
        parsedLines.push(`Stream Loudness: <strong style="color:#fff">${cur} dB</strong> | Target Loudness: <strong style="color:#fff">${tgt} dB</strong>`);
        
        let diff = cur - tgt;
        if (diff > 0) {
            loudnessText = `Stream is <strong style="color:#fff">${diff.toFixed(1)}dB LOUDER</strong> than the target level. Normalized volume will be lowered to prevent clipping and protect your ears.`;
        } else if (diff < 0) {
            loudnessText = `Stream is <strong style="color:#fff">${Math.abs(diff).toFixed(1)}dB QUIETER</strong> than the target level. Since it is below zero-reference, the platform will likely play it out at the original low level.`;
        } else {
            loudnessText = `Stream is <strong style="color:#fff">EXACTLY</strong> at the target loudness (-14 LUFS reference).`;
        }
    } else {
        // Fallback: search for any standalone dB identifiers
        let allDB = [...text.matchAll(/([-+]*[\d\.]+)\s*dB/ig)].map(m => m[0]);
        if (allDB.length > 0) {
            parsedLines.push(`Detected dB readings: <strong style="color:#fff">${allDB.join(', ')}</strong>`);
            loudnessText = `Found dB stats in the text, but could not determine standard normalization context format.`;
        } else {
            loudnessText = (text.trim().length === 0) 
                ? "OCR failed to read text from the image." 
                : "No Audio / Loudness dB statistics were detected. Please ensure your image is a highly-visible screenshot of 'Stats for Nerds'.";
        }
    }

    // 4. Content Render Element Setup
    const contentBox = document.createElement('div');
    contentBox.style.cssText = "font-size: 16px; line-height: 1.6;";

    // Draw parsed facts array list
    if (parsedLines.length > 0) {
        const ul = document.createElement('ul');
        ul.style.cssText = "margin: 0 0 20px 0; padding-left: 0; list-style-type: none;";
        parsedLines.forEach(line => {
            const li = document.createElement('li');
            li.style.cssText = "margin-bottom: 8px; font-family: ui-monospace, SFMono-Regular, default, monospace; font-size: 15px; color: #8b949e;";
            li.innerHTML = `<span style="color: ${accentColor}; margin-right: 6px;">►</span> ${line}`;
            ul.appendChild(li);
        });
        contentBox.appendChild(ul);
    }

    // Draw final analysis container
    const analysisWrapper = document.createElement('div');
    analysisWrapper.style.cssText = `
        background: rgba(255, 255, 255, 0.04); 
        padding: 16px; 
        border-radius: 8px; 
        border-left: 5px solid ${accentColor};
    `;
    analysisWrapper.innerHTML = `<strong style="color: ${accentColor}; font-size: 18px; display: block; margin-bottom: 10px;">Diagnostic Analysis:</strong>${loudnessText}`;
    contentBox.appendChild(analysisWrapper);

    container.appendChild(contentBox);

    return container;
}

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Description

This tool analyzes screenshots of YouTube’s ‘Stats for Nerds’ panel to provide a detailed breakdown of audio volume normalization. By using OCR technology to read data from your uploaded image, it extracts key metrics such as player volume, normalized volume, and loudness levels in decibels (dB). The analyzer interprets these values to explain whether a video is playing louder or quieter than the platform’s target loudness standards, helping users understand if the audio is being compressed or if it’s playing at its original level. This is useful for content creators, audiophiles, or anyone curious about why certain videos sound different in volume compared to others.

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