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AI Image Topic Identifier And Idea 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.
async function processImage(originalImg, maxPredictions = "4", themeColor = "#8B5CF6") {
    const numPredictions = parseInt(maxPredictions, 10) || 4;

    // Create the main container element
    const container = document.createElement('div');
    container.style.fontFamily = "system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol'";
    container.style.padding = "24px";
    container.style.backgroundColor = "#ffffff";
    container.style.borderRadius = "16px";
    container.style.boxShadow = "0 10px 25px -5px rgba(0, 0, 0, 0.1), 0 8px 10px -6px rgba(0, 0, 0, 0.1)";
    container.style.maxWidth = "650px";
    container.style.margin = "0 auto";
    container.style.color = "#1f2937";
    container.style.border = "1px solid #f3f4f6";

    // Initial Loading State
    container.innerHTML = `
        <div style="text-align: center; padding: 40px 20px;">
            <div style="width: 48px; height: 48px; border: 4px solid ${themeColor}22; border-top: 4px solid ${themeColor}; border-radius: 50%; animation: spin 1s linear infinite; margin: 0 auto 20px auto;"></div>
            <h3 style="margin: 0 0 8px 0; color: #111827; font-size: 1.25rem;">AI is analyzing your image...</h3>
            <p style="margin: 0; color: #6b7280; font-size: 0.95rem;">Loading neural networks and classifying visual topics.</p>
            <style>@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }</style>
        </div>
    `;

    // Helper to dynamically load external scripts securely
    const loadScript = (src, checkVarName) => {
        return new Promise((resolve, reject) => {
            // Check if already loaded globally
            if (window[checkVarName]) {
                resolve();
                return;
            }
            const script = document.createElement('script');
            script.src = src;
            script.crossOrigin = "anonymous";
            script.onload = () => resolve();
            script.onerror = () => reject(new Error(`Failed to load script: ${src}`));
            document.head.appendChild(script);
        });
    };

    try {
        // Ensure the original image is fully loaded
        if (!originalImg.complete || originalImg.naturalWidth === 0) {
            await new Promise((resolve, reject) => {
                originalImg.onload = resolve;
                originalImg.onerror = reject;
            });
        }

        // Draw to a temporary canvas to ensure proper formatting and prevent CORS texture issues
        const tempCanvas = document.createElement('canvas');
        tempCanvas.width = originalImg.naturalWidth;
        tempCanvas.height = originalImg.naturalHeight;
        const ctx = tempCanvas.getContext('2d');
        ctx.drawImage(originalImg, 0, 0);

        // Load TensorFlow.js library
        await loadScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.21.0/dist/tf.min.js', 'tf');
        
        // Load TensorFlow MobileNet Image Classification model
        await loadScript('https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet@2.1.0/dist/mobilenet.min.js', 'mobilenet');

        // Load the model instance
        const model = await window.mobilenet.load({ version: 2, alpha: 1.0 });

        // Classify the image
        const predictions = await model.classify(tempCanvas, numPredictions);

        if (!predictions || predictions.length === 0) {
            throw new Error("The AI couldn't identify any clear topics in this image.");
        }

        // Process topics
        const topicsList = predictions.map(p => {
            const cleanName = p.className.split(',')[0].trim();
            // Capitalize first letter
            return cleanName.charAt(0).toUpperCase() + cleanName.slice(1);
        });

        const mainTopic = topicsList[0];

        // Idea Templates based on the top prediction
        const ideaTemplates = [
            `Write an ultimate guide or history piece about <strong>${mainTopic.toLowerCase()}s</strong>.`,
            `Create a "Top list" compilation reviewing the best <strong>${mainTopic.toLowerCase()}</strong> products.`,
            `Design a creative aesthetic moodboard revolving around the theme of <strong>${mainTopic}</strong>.`,
            `Produce a short-form video tutorial or "how-to" related to a <strong>${mainTopic}</strong>.`,
            `Start a community discussion exploring unique ways to utilize or style a <strong>${mainTopic}</strong>.`
        ];

        // SVG Lightbulb Icon
        const lightbulbIcon = `
            <svg width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="${themeColor}" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" style="margin-right: 8px;">
                <path d="M9 18h6"></path><path d="M10 22h4"></path><path d="M15.09 14c.18-.98.65-1.74 1.41-2.5A4.65 4.65 0 0 0 12 3a4.65 4.65 0 0 0-4.5 4.5c0 1.93 1.16 3.42 2.1 4.5.76.76 1.23 1.52 1.41 2.5"></path>
            </svg>`;

        // SVG Tag Icon
        const tagIcon = `
            <svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" style="margin-right: 6px; opacity: 0.7;">
                <path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z"></path><line x1="7" y1="7" x2="7.01" y2="7"></line>
            </svg>`;

        // Generate the final UI
        container.innerHTML = `
            <div style="display: flex; flex-direction: column; gap: 24px;">
                
                <!-- Top Section: Image Preview & Detected Topics -->
                <div style="display: flex; flex-wrap: wrap; gap: 24px; align-items: flex-start; border-bottom: 2px dashed #f3f4f6; padding-bottom: 24px;">
                    <div style="flex-shrink: 0; width: 100%; max-width: 160px;">
                        <img src="${tempCanvas.toDataURL('image/jpeg', 0.8)}" style="width: 100%; height: auto; border-radius: 12px; object-fit: cover; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1); border: 1px solid #e5e7eb;" />
                    </div>
                    
                    <div style="flex-grow: 1; min-width: 250px;">
                        <h2 style="margin: 0 0 16px 0; font-size: 1.25rem; color: #111827; display: flex; align-items: center;">
                            ${tagIcon} AI Identified Topics
                        </h2>
                        <div style="display: flex; flex-wrap: wrap; gap: 10px;">
                            ${predictions.map(p => {
                                const cleanName = p.className.split(',')[0].trim();
                                const probability = (p.probability * 100).toFixed(1);
                                return `
                                <div style="background-color: ${themeColor}12; color: ${themeColor}; padding: 6px 14px; border-radius: 9999px; font-size: 0.875rem; font-weight: 600; border: 1px solid ${themeColor}33; display: flex; align-items: center; gap: 6px;">
                                    ${cleanName.charAt(0).toUpperCase() + cleanName.slice(1)}
                                    <span style="background-color: #ffffff; padding: 2px 6px; border-radius: 8px; font-size: 0.75rem; color: #4b5563;">${probability}%</span>
                                </div>
                                `;
                            }).join('')}
                        </div>
                    </div>
                </div>

                <!-- Bottom Section: Generated Content Ideas -->
                <div>
                    <h2 style="margin: 0 0 16px 0; font-size: 1.25rem; color: #111827; display: flex; align-items: center;">
                        ${lightbulbIcon} Generated Content Ideas
                    </h2>
                    <div style="display: flex; flex-direction: column; gap: 12px;">
                        ${ideaTemplates.map((idea, index) => `
                            <div style="display: flex; align-items: flex-start; gap: 12px; background-color: #f9fafb; padding: 14px 18px; border-radius: 10px; border: 1px solid #f3f4f6;">
                                <div style="background-color: ${themeColor}; color: white; width: 24px; height: 24px; display: flex; align-items: center; justify-content: center; border-radius: 50%; font-size: 0.8rem; font-weight: bold; flex-shrink: 0; outline: 3px solid ${themeColor}22;">
                                    ${index + 1}
                                </div>
                                <div style="color: #4b5563; font-size: 0.95rem; line-height: 1.5; padding-top: 1px;">
                                    ${idea}
                                </div>
                            </div>
                        `).join('')}
                    </div>
                </div>
                
            </div>
        `;

    } catch (error) {
        container.innerHTML = `
            <div style="text-align: center; padding: 40px 20px;">
                <div style="background-color: #fee2e2; color: #ef4444; width: 56px; height: 56px; display: flex; align-items: center; justify-content: center; border-radius: 50%; margin: 0 auto 16px auto;">
                    <svg width="28" height="28" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
                        <circle cx="12" cy="12" r="10"></circle><line x1="12" y1="8" x2="12" y2="12"></line><line x1="12" y1="16" x2="12.01" y2="16"></line>
                    </svg>
                </div>
                <h3 style="margin: 0 0 8px 0; color: #991b1b; font-size: 1.25rem;">Analysis Failed</h3>
                <p style="margin: 0; color: #7f1d1d; font-size: 0.95rem;">${error.message || 'An unexpected error occurred during AI processing.'}</p>
            </div>
        `;
    }

    return container;
}

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Description

This tool uses artificial intelligence to analyze images and identify their primary subjects or themes. Upon uploading an image, the AI classifies the visual content and provides a list of detected topics along with their confidence levels. Additionally, the tool acts as a creative assistant by generating specific content ideas and project prompts based on the identified themes. It is useful for content creators, marketers, and designers looking for inspiration for blog posts, social media tutorials, mood boards, or community discussions centered around the visual elements of their photos.

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