Create ultra-realistic chat, social media, and AI conversation mockups — instantly, privately, and without watermarks.
MiniMock is a comprehensive, web-based tool designed for creators, digital marketers, and developers who require high-fidelity, pixel-perfect social media and messaging mockups. The application operates entirely client-side, ensuring total privacy with zero data storage and watermark-free exports.
MiniMock is built for:
- Content creators making viral or storytelling posts
- Designers previewing UI/UX concepts
- Meme creators and social media storytellers
- Marketers preparing campaign visuals
- Developers showcasing chat or social features
Most chat mockup tools are either:
- Full of watermarks
- Slow and ad-heavy
- Limited to 1–2 platforms
- Not privacy-friendly
MiniMock solves this by being fast, local-first, and built for creators.
Unlike traditional mockup generators that rely on bulky image editing software or ad-supported web interfaces, MiniMock offers a streamlined, professional experience:
- Pixel-Perfect Realism: Every platform is meticulously reverse-engineered to match authentic UI elements, including specific fonts, message tail geometry, and spacing.
- Privacy by Design: All data processing and image rendering occur locally in the user's browser. No conversations are uploaded to any server.
- Mobile-First Experience: The interface is fully responsive, featuring a native-app feel for editing and previewing mockups on mobile devices.
- Watermark-Free Exports: Generate and download professional-grade PNG images ready for presentations, portfolios, or content creation.
MiniMock provides dedicated environments for a wide range of digital platforms and content formats.
Create realistic 1-to-1 or group conversations with full control over message status (Sent, Delivered, Read).
- Supported Platforms: WhatsApp, Instagram DM, Discord, Telegram, Snapchat, and Threads.
- Advanced Features: Sender swapping, dynamic read receipts, and image attachments with realistic thumbnails.
Design complete social media posts to preview content strategy or create marketing assets.
- Supported Platforms: X (Twitter), Facebook, Instagram, LinkedIn, Pinterest, and Threads.
- Customizable Metrics: Edit like counts, repost numbers, and engagement stats to fit any scenario.
Simulate complex conversation threads with platform-accurate nesting and styling.
- Supported Platforms: YouTube, Reddit, Instagram, and LinkedIn.
- Nesting Support: Full support for multi-level replies and indentation patterns specific to each platform.
Build immersive story mockups with authentic layouts and overlays.
- Supported Platforms: Instagram Stories and WhatsApp Status.
- Creative Tools: Background blurring for non-9:16 images, interactive music tags, location stickers, and customizable captions.
Generate realistic screenshots of AI-human interactions.
- Styling Options: Toggle between distinct design languages for ChatGPT and Claude.
- Profile Customization: Set custom avatars and names for both the AI and the user.
A modern tool for previewing email marketing layouts or professional communication.
- Interface: Clean, responsive layout with support for subject lines, sender details, and full body content.
MiniMock offers a robust set of appearance settings that apply across all preview modes:
- Dark Mode: Toggle platform-specific dark themes natively.
- Phone Frames: High-quality iPhone frames for realistic presentation.
- Transparent Backgrounds: Export mockups as transparent PNGs for seamless integration into graphic designs.
- iOS Status Bar: Fully customizable status bars, including time, battery levels, and connectivity icons.
- Drag-and-Drop Editor: Reorder messages or comments instantly using a fluid drag-and-drop interface.
MiniMock is built with a lightweight, performance-focused tech stack utilizing React 18 and Vite.
# Clone the repository
git clone https://github.com/TuShArBhArDwA/MiniMock.git
# Install dependencies
npm install
# Start the development server
npm run devIf you find this helpful, consider supporting me:
- Sponsor Me: Buy Me a Coffee!
This project is licensed under the MIT License - see the LICENSE file for details.
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