Screenshot to Code

Analyse a screenshot in your browser to extract dominant colors, identify fonts, and get a basic HTML/CSS structure for rapid prototyping.

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Screenshot to Code

Note: Full AI-powered screenshot-to-code conversion requires a backend with vision AI. This tool lets you upload a screenshot and provides a responsive HTML skeleton as a starting point.

Upload Screenshot

Generated HTML Skeleton

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
  <title>Generated Page</title>
  <style>
    * { box-sizing: border-box; margin: 0; padding: 0; }
    body { font-family: sans-serif; line-height: 1.6; color: #333; }
    header { background: #1a1a2e; color: white; padding: 1rem 2rem; }
    nav { display: flex; gap: 1rem; list-style: none; }
    main { max-width: 1200px; margin: 2rem auto; padding: 0 1rem; }
    .hero { text-align: center; padding: 4rem 0; }
    .hero h1 { font-size: 2.5rem; margin-bottom: 1rem; }
    .hero p { font-size: 1.1rem; color: #666; }
    .btn { display: inline-block; padding: 0.75rem 2rem; background: #4f46e5;
           color: white; border-radius: 6px; text-decoration: none; margin-top: 1rem; }
    .grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
            gap: 1.5rem; margin-top: 2rem; }
    .card { background: #f9f9f9; border-radius: 8px; padding: 1.5rem; border: 1px solid #eee; }
    footer { background: #f1f1f1; text-align: center; padding: 1.5rem; margin-top: 3rem; }
  </style>
</head>
<body>
  <header>
    <nav>
      <li><a href="#" style="color:white">Home</a></li>
      <li><a href="#" style="color:white">About</a></li>
      <li><a href="#" style="color:white">Contact</a></li>
    </nav>
  </header>
  <main>
    <section class="hero">
      <h1>Page Title Here</h1>
      <p>Description extracted from screenshot would appear here.</p>
      <a href="#" class="btn">Call to Action</a>
    </section>
    <div class="grid">
      <div class="card"><h3>Feature 1</h3><p>Description</p></div>
      <div class="card"><h3>Feature 2</h3><p>Description</p></div>
      <div class="card"><h3>Feature 3</h3><p>Description</p></div>
    </div>
  </main>
  <footer><p>&copy; 2024. All rights reserved.</p></footer>
</body>
</html>

How full AI conversion works:

Screenshot is sent to a vision model (GPT-4o, Claude 3, Gemini Vision)
Model analyzes layout, typography, colors, and components
Generates semantic HTML + CSS/Tailwind matching the design
Post-processing makes it responsive and production-ready

How to Use Screenshot to Code

1

Upload a screenshot or design mockup

Drop a PNG or JPEG screenshot of a UI, webpage, or design into the tool.
2

Analyse the image

Click "Analyse" and the tool extracts dominant colors, dimensions, and generates a skeleton HTML/CSS layout.
3

Copy the generated code

Copy the HTML and CSS output as a starting point for building the design in code.

Frequently Asked Questions

How accurate is the generated code?

The tool generates a structural skeleton with accurate colors and approximate layout. It is intended as a starting point for developers, not a pixel-perfect replication tool.

Does this tool use AI?

The color extraction and layout analysis use client-side Canvas API algorithms rather than AI models, ensuring all processing stays in your browser without any server calls.

What kinds of screenshots work best?

Simple, clean UI screenshots with clearly defined sections work best. Complex dashboards or highly graphical designs may produce more generic skeleton code.

About Screenshot to Code

The Screenshot to Code tool on Utilko helps developers and designers bridge the gap between visual designs and implementation. Upload any UI screenshot and instantly extract its dominant color palette, layout structure, and get a skeleton HTML/CSS template to kickstart your build.

All analysis runs locally in your browser using the Canvas API — no AI API calls, no server uploads, complete privacy. Perfect for rapid prototyping, design handoff reference, and quickly matching colors from existing interfaces.

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