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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Magic Eraser API Documentation</title>
    <style>

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    </style>
</head>
<body>
    <header>
        <h1>📷 Magic Eraser API</h1>
        <p>An AI-powered REST API for removing unwanted objects from images and performing content-aware resizing.</p>
        <p>Check out the InnoAI Space for the streamline demo frontend: <a href="https://huggingface.co/spaces/innoai/Magic-Eraser-Pub" target="_blank">Magic Eraser Demo</a></p>
    </header>

    <section>
        <h2>Features</h2>
        <ul>
            <li><strong>Object Removal</strong>: Remove unwanted objects from images with advanced AI inpainting</li>
            <li><strong>Seam Carving</strong>: Content-aware image resizing and object removal</li>
            <li><strong>Simple Integration</strong>: Easy-to-use REST API endpoints</li>
        </ul>
    </section>

    <section>
        <h2>API Endpoints</h2>

        <div class="endpoint">
            <h3><span class="method get">GET</span> /</h3>
            <p>Health check endpoint. Returns a status message if the API is running.</p>
            <h4>Response</h4>
            <pre><code>{
  "status": "API is running"
}</code></pre>
        </div>

        <div class="endpoint">
            <h3><span class="method post">POST</span> /api/inpaint</h3>
            <p>Removes objects from images and fills in the background using AI.</p>
            <h4>Request Body</h4>
            <pre><code>{
  "image": "data:image/png;base64,<base64-encoded-image>",
  "mask": "data:image/png;base64,<base64-encoded-mask>"
}</code></pre>
            <table>
                <tr>
                    <th>Parameter</th>
                    <th>Type</th>
                    <th>Description</th>
                </tr>
                <tr>
                    <td>image</td>
                    <td>string</td>
                    <td>Base64-encoded image with data URL prefix</td>
                </tr>
                <tr>
                    <td>mask</td>
                    <td>string</td>
                    <td>Base64-encoded mask where transparent areas (alpha=0) indicate what to remove</td>
                </tr>
            </table>
            <h4>Response</h4>
            <pre><code>{
  "result": "data:image/png;base64,<base64-encoded-result>"
}</code></pre>
        </div>

        <div class="endpoint">
            <h3><span class="method post">POST</span> /api/seam-carve</h3>
            <p>Content-aware resizing or object removal using the seam carving algorithm.</p>
            <h4>Request Body</h4>
            <pre><code>{
  "image": "data:image/png;base64,<base64-encoded-image>",
  "mask": "data:image/png;base64,<base64-encoded-mask>",
  "vs": 50,
  "hs": 30,
  "mode": "resize"
}</code></pre>
            <table>
                <tr>
                    <th>Parameter</th>
                    <th>Type</th>
                    <th>Description</th>
                </tr>
                <tr>
                    <td>image</td>
                    <td>string</td>
                    <td>Base64-encoded image with data URL prefix</td>
                </tr>
                <tr>
                    <td>mask</td>
                    <td>string</td>
                    <td>Base64-encoded mask (optional for resize mode, required for remove mode)</td>
                </tr>
                <tr>
                    <td>vs</td>
                    <td>integer</td>
                    <td>Number of vertical seams to add/remove (positive = add, negative = remove)</td>
                </tr>
                <tr>
                    <td>hs</td>
                    <td>integer</td>
                    <td>Number of horizontal seams to add/remove (positive = add, negative = remove)</td>
                </tr>
                <tr>
                    <td>mode</td>
                    <td>string</td>
                    <td>Either "resize" (change dimensions) or "remove" (remove objects)</td>
                </tr>
            </table>
            <h4>Response</h4>
            <pre><code>{
  "result": "data:image/png;base64,<base64-encoded-result>"
}</code></pre>
        </div>
    </section>

    <section>
        <h2>JavaScript Example</h2>
        <p>Here's how to use the API in a JavaScript application:</p>

        <h3>Inpainting Example</h3>
        <pre><code>async function removeObject(imageBase64, maskBase64) {
  const response = await fetch('{{ api_url }}/api/inpaint', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      image: imageBase64,
      mask: maskBase64,
    }),
  });
  
  const data = await response.json();
  return data.result; // base64 encoded result image
}</code></pre>

        <h3>Seam Carving Example</h3>
        <pre><code>async function resizeImage(imageBase64, maskBase64) {
  const response = await fetch('{{ api_url }}/api/seam-carve', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      image: imageBase64,
      mask: maskBase64,
      vs: -50,          // Remove 50 vertical seams (make narrower)
      hs: 30,           // Add 30 horizontal seams (make taller)
      mode: 'resize',   // or 'remove' to remove objects
    }),
  });
  
  const data = await response.json();
  return data.result;
}</code></pre>
    </section>

    <section>
        <h2>Setting Up a Drawing Canvas</h2>
        <p>To integrate with our API, you'll need a way for users to draw masks over images. Here's a simple HTML5 Canvas example:</p>

        <pre><code>function setupCanvas(imageUrl) {
    // Create canvas elements
    const imageCanvas = document.createElement('canvas');
    const maskCanvas = document.createElement('canvas');
    const container = document.getElementById('canvas-container');
    container.appendChild(imageCanvas);
    container.appendChild(maskCanvas);
    
    // Load image
    const img = new Image();
    img.onload = function() {
        // Set canvas dimensions
        imageCanvas.width = maskCanvas.width = img.width;
        imageCanvas.height = maskCanvas.height = img.height;
        
        // Draw image on image canvas
        const imgCtx = imageCanvas.getContext('2d');
        imgCtx.drawImage(img, 0, 0);
        
        // Setup mask canvas for drawing
        const maskCtx = maskCanvas.getContext('2d');
        maskCtx.fillStyle = 'rgba(255, 0, 0, 0.5)';
        
        // Drawing state
        let isDrawing = false;
        
        // Mouse/touch event handlers
        maskCanvas.addEventListener('mousedown', startDrawing);
        maskCanvas.addEventListener('mousemove', draw);
        maskCanvas.addEventListener('mouseup', stopDrawing);
        maskCanvas.addEventListener('mouseleave', stopDrawing);
        
        function startDrawing(e) {
            isDrawing = true;
            draw(e);
        }
        
        function draw(e) {
            if (!isDrawing) return;
            const rect = maskCanvas.getBoundingClientRect();
            const x = e.clientX - rect.left;
            const y = e.clientY - rect.top;
            maskCtx.beginPath();
            maskCtx.arc(x, y, 15, 0, Math.PI * 2);
            maskCtx.fill();
        }
        
        function stopDrawing() {
            isDrawing = false;
        }
    };
    img.src = imageUrl;
}</code></pre>
    </section>

    <section class="demo-section">
        <h2>Try It Out</h2>
        <p>Visit InnoAI interactive demo frontend:</p>
        <a href="https://huggingface.co/spaces/innoai/Magic" class="btn" target="_blank">Open Demo Frontend</a>
        <p><small>Demo frontend connects to this API for processing images.</small></p>
    </section>

    <footer>
        <p><small>© 2025 Magic Eraser API. MIT License.</small></p>
    </footer>
</body>
</html>