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Image To Music Search Finder

(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, language = "eng", searchMode = "auto") {
    // Synchronously create and return the container so progress can be monitored
    const container = document.createElement('div');
    container.style.fontFamily = 'system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif';
    container.style.textAlign = 'center';
    container.style.padding = '24px';
    container.style.color = '#333';
    container.style.backgroundColor = '#ffffff';
    container.style.borderRadius = '12px';
    container.style.border = '1px solid #eaeaea';
    container.style.maxWidth = '640px';
    container.style.margin = '0 auto';
    container.style.boxShadow = '0 8px 24px rgba(0,0,0,0.06)';
    
    const header = document.createElement('h2');
    header.innerText = 'Image to Music Search Finder';
    header.style.marginTop = '0';
    header.style.color = '#111';
    header.style.fontSize = '20px';
    container.appendChild(header);

    const statusText = document.createElement('p');
    statusText.innerText = 'Preparing image...';
    statusText.style.fontWeight = '500';
    statusText.style.fontSize = '15px';
    statusText.style.color = '#555';
    container.appendChild(statusText);
    
    const progressBar = document.createElement('div');
    progressBar.style.width = '100%';
    progressBar.style.height = '6px';
    progressBar.style.backgroundColor = '#f0f0f0';
    progressBar.style.borderRadius = '3px';
    progressBar.style.overflow = 'hidden';
    progressBar.style.margin = '16px 0';
    
    const progressFill = document.createElement('div');
    progressFill.style.width = '5%';
    progressFill.style.height = '100%';
    progressFill.style.backgroundColor = '#3b82f6';
    progressFill.style.transition = 'width 0.3s ease';
    progressBar.appendChild(progressFill);
    container.appendChild(progressBar);

    // Start background processing without blocking rendering
    (async () => {
        try {
            const canvas = document.createElement('canvas');
            const ctx = canvas.getContext('2d', { willReadFrequently: true });
            
            canvas.width = originalImg.naturalWidth || originalImg.width || 300;
            canvas.height = originalImg.naturalHeight || originalImg.height || 300;
            
            if (canvas.width > 0 && canvas.height > 0) {
                ctx.drawImage(originalImg, 0, 0, canvas.width, canvas.height);
            }
            
            // Image Content & Mood Analyser (Fallback if OCR finds no text)
            let mood = 'Electronic Ambient'; 
            try {
                const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height).data;
                let r = 0, g = 0, b = 0, count = 0;
                // Cap the samples drastically to keep mood calculation virtually instant
                const step = Math.max(4, Math.floor((canvas.width * canvas.height) / 10000) * 4); 
                for (let i = 0; i < imageData.length; i += step) {
                    if (imageData[i + 3] > 0) { // skip if pixel is highly transparent
                        r += imageData[i];
                        g += imageData[i + 1];
                        b += imageData[i + 2];
                        count++;
                    }
                }
                
                if (count > 0) {
                    r = Math.floor(r / count);
                    g = Math.floor(g / count);
                    b = Math.floor(b / count);
                    
                    const brightness = (r * 299 + g * 587 + b * 114) / 1000;
                    
                    if (brightness > 210) mood = "Happy Uplifting Pop";
                    else if (brightness < 50) mood = "Dark Ambient Sub Bass";
                    else if (r > g + 40 && r > b + 40) mood = "Energetic Rock or Synthwave";
                    else if (b > r + 40 && b > g + 40) mood = "Calm Chillout Dream Pop";
                    else if (g > r + 30 && g > b + 30) mood = "Nature Relaxing Acoustic";
                    else if (brightness > 130) mood = "Cinematic Epic Soundtrack"; 
                    else mood = "Deep Melancholic Electronic";
                }
            } catch(e) {
                console.warn("Could not extract mood from image pixels. CORS rules often apply.", e);
            }

            let query = "";
            let isTextSearch = false;

            if (searchMode === "auto" || searchMode === "text") {
                progressFill.style.width = '10%';
                statusText.innerText = 'Setting up OCR engine...';
                
                // Dynamically import lightweight Tesseract for reading screenshot titles / lyrics
                if (typeof Tesseract === 'undefined') {
                    const script = document.createElement('script');
                    script.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js';
                    document.head.appendChild(script);
                    await new Promise((resolve, reject) => {
                        script.onload = resolve;
                        script.onerror = () => reject(new Error("Failed to load Tesseract.js"));
                    });
                }
                
                const result = await Tesseract.recognize(canvas, language, {
                    logger: m => {
                        if (m.status === 'recognizing text' || m.status === 'loading tesseract core' || m.status === 'loading language traineddata') {
                            let pct = (m.progress || 0) * 100;
                            // Precursor tasks get 10-50%, Active OCR gets 50-100%
                            if (m.status !== 'recognizing text') {
                                pct = 10 + (pct * 0.4); 
                            } else {
                                pct = 50 + (pct * 0.5); 
                            }
                            progressFill.style.width = Math.round(pct) + '%';
                            statusText.innerText = m.status === 'recognizing text' ? 'Reading text from image...' : 'Downloading OCR engine...';
                        }
                    }
                });
                
                // Refine extracted text to a useful search query
                let text = result?.data?.text?.trim() || "";
                if (text.length > 2) {
                    let lines = text.split('\n').map(l => l.trim()).filter(l => l.length > 2);
                    if (lines.length > 0) {
                        query = lines.slice(0, 3).join(' ')
                                     .replace(/[^a-zA-Z0-9\s-]/g, ' ')
                                     .replace(/\s+/g, ' ')
                                     .trim();
                        // Cut query down to max 10 words to prevent 400 errors across search platforms
                        let words = query.split(' ');
                        if (words.length > 10) {
                            query = words.slice(0, 10).join(' ');
                        }
                        if (query.length > 2) {
                            isTextSearch = true;
                        }
                    }
                }
            }

            // Fallback to mood if there naturally wasn't textual detail in the image
            if (!isTextSearch) {
                query = mood + " music";
                isTextSearch = false;
            }

            let encodedQuery = encodeURIComponent(query);
            
            statusText.remove();
            progressBar.remove();
            
            // Build Final Dynamic UI Container
            const resultDiv = document.createElement('div');
            resultDiv.style.textAlign = 'left';
            resultDiv.style.animation = 'fadeIn 0.5s ease';
            
            const styleId = 'music-search-hover-styles';
            if (!document.getElementById(styleId)) {
                const style = document.createElement('style');
                style.id = styleId;
                style.textContent = `
                    @keyframes fadeIn {
                        from { opacity: 0; transform: translateY(10px); }
                        to { opacity: 1; transform: translateY(0); }
                    }
                    .music-platform-link:hover {
                        filter: brightness(1.1) contrast(1.05);
                        transform: translateY(-2px);
                    }
                    .music-platform-link {
                        transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1) !important;
                        box-shadow: 0 4px 6px rgba(0,0,0,0.12);
                    }
                `;
                document.head.appendChild(style);
            }

            let finalHtml = `
                <div style="background:#f4f7fa; padding: 22px; border-radius: 8px; border: 1px solid #e0e7ff;">
                    <h3 style="margin-top:0; font-size:15px; color:#475569; text-transform:uppercase; letter-spacing:0.5px;">
                        Search Approach: 
                        <span style="color:#0f172a; font-weight:700;">
                            ${isTextSearch ? 'Text Found on Image' : 'Image Mood Match'}
                        </span>
                    </h3>
                    
                    ${isTextSearch 
                        ? `<p style="color:#64748b; font-size:14px; margin-bottom:8px;">We detected the following text to aid your music search:</p>
                           <div style="background:#ffffff; padding:12px 16px; border-left:4px solid #10b981; font-style:italic; font-size:17px; color:#1e293b; border-radius: 4px; box-shadow: 0 1px 3px rgba(0,0,0,0.05); word-break:break-word;">
                               "${query}"
                           </div>`
                        : `<p style="color:#64748b; font-size:14px; margin-bottom:8px;">No prominent text detected. Cultivating matches based on visual mood:</p>
                           <div style="background:#ffffff; padding:12px 16px; border-left:4px solid #3b82f6; font-style:italic; font-size:17px; font-weight:600; color:#1e293b; border-radius: 4px; box-shadow: 0 1px 3px rgba(0,0,0,0.05); word-break:break-word;">
                               "${query}"
                           </div>`
                    }
                    
                    <h3 style="margin-top:26px; font-size:16px; color:#0f172a; margin-bottom:14px; text-align:center;">Hunt For Mixes & Tracks Via:</h3>
                    
                    <div style="display:grid; grid-template-columns: repeat(auto-fit, minmax(130px, 1fr)); gap:12px;">
                        <a class="music-platform-link" href="https://www.youtube.com/results?search_query=${encodedQuery}" target="_blank" style="display:block; text-align:center; padding:12px 10px; background:#ff0000; color:#fff; text-decoration:none; border-radius:6px; font-weight:600; font-size:14px;">YouTube</a>
                        
                        <a class="music-platform-link" href="https://open.spotify.com/search/${encodedQuery}" target="_blank" style="display:block; text-align:center; padding:12px 10px; background:#1db954; color:#fff; text-decoration:none; border-radius:6px; font-weight:600; font-size:14px;">Spotify</a>
                        
                        <a class="music-platform-link" href="https://music.apple.com/search?term=${encodedQuery}" target="_blank" style="display:block; text-align:center; padding:12px 10px; background:#fa243c; color:#fff; text-decoration:none; border-radius:6px; font-weight:600; font-size:14px;">Apple Music</a>
                        
                        <a class="music-platform-link" href="https://soundcloud.com/search?q=${encodedQuery}" target="_blank" style="display:block; text-align:center; padding:12px 10px; background:#ff5500; color:#fff; text-decoration:none; border-radius:6px; font-weight:600; font-size:14px;">SoundCloud</a>
                    </div>
                </div>
            `;
            
            resultDiv.innerHTML = finalHtml;
            container.appendChild(resultDiv);

        } catch (err) {
            statusText.innerText = 'An error occurred processing the image.';
            progressBar.style.display = 'none';
            
            const errorMsg = document.createElement('p');
            errorMsg.style.color = '#ef4444';
            errorMsg.style.fontSize = '14px';
            errorMsg.innerText = err.message || 'Unknown error.';
            container.appendChild(errorMsg);
        }
    })();

    return container;
}

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Description

The Image To Music Search Finder is a creative tool that translates visual information into music search queries. It uses OCR (Optical Character Recognition) to extract text from images—such as song titles or lyrics from screenshots—and utilizes color and brightness analysis to determine the emotional mood of a photo. Based on these findings, the tool generates optimized search terms and provides direct links to find matching tracks or playlists on popular platforms like YouTube, Spotify, Apple Music, and SoundCloud. This tool is ideal for users looking to discover music that fits a specific aesthetic or for identifying songs found within image-based content.

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