A lightweight, fast, privacy-friendly tool to generate beautiful code snippet images with OS-style themes such as macOS, Windows 10/11/XP/98, Linux, GNOME, KDE Plasma, and more. Note: These themes are purely visual — the tool is not OS-dependent and runs entirely on HTML, CSS, and JavaScript.

• Generate code snippet images with OS-style window frames
• macOS, Windows 10/11, XP, 98, Linux, GNOME, KDE Plasma, and custom theme variations
• Themes are visual only (not tied to your device OS)
• Supports syntax highlighting for multiple languages
• One-click high-quality PNG download
• Fully responsive design
• Works entirely client-side (no backend)
• No analytics, no trackers, privacy-friendly

🔗 https://codeimage.netlify.app/

Mac Os Theme

Window XP Theme

Window 7

• HTML
• CSS
• JavaScript
• Highlight.js / CodeMirror (if used)
• Netlify for hosting

git clone https://github.com/adarshM84/code_image.git
cd code_image
then open html in browser

Or simply open index.html in your browser.

Ideal for:

• Technical blogs
• Tutorials
• Social media posts
• Developer portfolios
• Documentation

Makes code look clean, readable, and visually appealing.

The entire tool runs client-side:

• No server
• No hosting cost
• Instant response times
• Works even offline

Perfect for lightweight deployments.

Your tool supports UI styles inspired by:

• macOS
• Windows 10
• Windows 11
• Ubuntu-style or custom themes

Again, these are pure CSS/HTML visuals, not system-specific.

Since you chose not to use Google Analytics:

• No cookies
• No user tracking
• No data collection
• No GDPR consent banners needed

Users trust tools that respect privacy.

Built only with HTML, CSS, and JavaScript:

• Loads instantly
• Works on all browsers
• Smooth on low-end devices
• No heavy scripts or frameworks

Developers can easily:

• Add themes
• Modify window styles
• Add new languages
• Change UI colors
• Enhance download options

Your code is clean and accessible.

Contributions and feature suggestions are welcome.

Licensed under the MIT License.

If you find this project helpful, please give it a ⭐ on GitHub!