Msgify Lite Msgify Team

archive backup offline tauri telegram viewer

Use this command to install Msgify Lite:

winget install --id=Msgify.Lite -e

A powerful offline archive viewer for Telegram exports and database backups. Access your data anytime, anywhere without internet, servers, or cloud dependencies. Features lazy loading, smart tagging, and beautiful UI.

📱 Msgify Lite – Offline Archive Viewer

A powerful offline archive viewer for Telegram exports and database backups.
Access your data anytime, anywhere — no internet, servers, or cloud dependencies required.

🖥️ Desktop App • 🌐 Web Version • ✨ Features • 📖 Docs

🚀 Installation

🖥️ Desktop App (Recommended)

Splash Screen Main Interface

Quick Install (One-Liner)

Linux/Mac:

curl -fsSL https://raw.githubusercontent.com/miangee21/Msgify-Lite/desktop/install.sh | bash

Windows (PowerShell as Administrator):

irm https://raw.githubusercontent.com/miangee21/Msgify-Lite/desktop/install.ps1 | iex

Manual Download

Platform	Download	Size
Windows	📥 MSI Installer	~3.5 MB
Windows	📥 EXE Setup	~2.5 MB
Linux (Debian/Ubuntu)	📥 DEB Package	~3.7 MB
Linux (Fedora/RHEL)	📥 RPM Package	~3.7 MB
Linux (Universal)	📥 AppImage	~10 MB

> 💡 Tip: MSI for Windows and DEB/RPM for Linux provide automatic updates and system integration.

🌐 Web Version

Try Msgify Lite directly in your browser — no installation required!

🌐 Open Web App • 📂 Web Source Code

Branches:

main → Web version (Next.js)
desktop → Desktop app (Tauri)

⚡ Desktop vs Web Comparison

Feature	🖥️ Desktop App	🌐 Web Version
Speed	⚡ 10-20x faster	Standard
Offline Access	✅ Full offline	⚠️ Requires initial load
Memory Usage	🟢 90% less	Standard
File Access	✅ Native system dialogs	⚠️ Browser limitations
Startup	✅ Beautiful splash screen	Instant
Installation	Required (~3-10 MB)	None
Auto Updates	✅ Built-in (future)	Always latest
System Integration	✅ Native app icon, tray	Browser tab

🎯 Recommendation: Use Desktop App for best performance and offline reliability.

✨ Key Features

🛡️ Security & Independence

Zero Dependencies: Runs completely locally without backend, database, or external APIs
Privacy First: Your data never leaves your device — all processing happens client-side
100% Offline: No internet required after installation
Disaster Recovery: Access archived data even if the main service is unavailable

📂 Smart Format Detection

Automatically detects and parses multiple data structures:

Telegram Desktop Export – Standard result.json format
Custom JSON Arrays – Simplified, flattened structures
Database Reconstruction – Parses raw Posts.json and Button.json exports

⚡ Premium Performance

Lazy Loading – Images load on-demand (10-20x faster than traditional methods)
Instant Search – Real-time filtering by text and metadata
Smart Caching – Loaded images stay in memory for instant re-display
Intelligent Tagging – Auto-detects and filters by available tags
Responsive Grid – Beautiful masonry layout adapts to any screen size
Dark Mode Ready – Fully themeable Telegram-inspired interface

🛠️ Tech Stack

Desktop App (Tauri)

Category	Technology
Framework	Tauri 2.x + Next.js 15
Language	TypeScript + Rust
UI	React + Tailwind CSS
Components	Shadcn/UI + Lucide Icons
File System	Native Tauri APIs (Rust backend)

Web Version

Category	Technology
Framework	Next.js 15 (App Router)
Language	TypeScript
Styling	Tailwind CSS
UI Components	Shadcn/UI
Icons	Lucide React
State	React Hooks

📖 Usage Guide

Step 1: Launch the Application

Desktop: Open from Start Menu (Windows) or Applications (Linux)
Web: Visit msgify-lite.vercel.app

Step 2: Select Your Data Folder

Click the "Select Folder" button and choose your data source:

For Telegram Exports: Select the folder containing result.json and the photos directory
For Database Exports: Select the folder with Posts.json, Button.json, and photos

Step 3: Browse & Search

Once loaded:

Use the Search Bar to find specific posts by text
Apply Tag Filters to sort and categorize content
Navigate through pages using the pagination controls
Enjoy a beautiful, responsive grid layout

Step 4: Offline Access

Desktop App: Works completely offline after installation
Web Version: Requires initial internet connection to load, then works offline

🚀 Need More Features? Try Msgify Pro

Msgify Pro is the full-featured, production-ready version with cloud storage, database, and advanced features.

Msgify Pro Features

☁️ Cloud Storage – Cloudflare R2 integration for high-performance image delivery
🗄️ Database – PostgreSQL (Neon) + Prisma ORM for persistent data storage
🔐 Authentication – Secure JWT-based login and signup system
🏷️ Smart Tagging – Create, edit, and merge tags with automatic post migration
🗑️ Safety Features – Soft delete with recycle bin and restore functionality
⚡ Bulk Operations – Quick cleanup and batch processing capabilities
📊 Dashboard – Beautiful grid-based interface with advanced search and filtering

Quick Links

🔗 Live Demo: msgify-pro.vercel.app
💻 GitHub Repository: Msgify Pro

🏗️ Development Setup

Prerequisites

Node.js 18.0.0 or higher
Rust (for desktop app development)
npm or yarn

Web Version Setup

# Clone repository
git clone https://github.com/miangee21/Msgify-Lite.git
cd msgify-lite

# Install dependencies
npm install

# Run development server
npm run dev

Visit http://localhost:3000

Desktop App Setup

# Switch to desktop branch
git checkout desktop

# Install dependencies
npm install

# Run in development mode
npm run tauri dev

# Build for production
npm run tauri build

Built apps will be in src-tauri/target/release/bundle/

📂 Project Structure

Desktop App

msgify-lite/ (desktop branch)
├── .github/
│   └── assets/               # Screenshots and media
├── src/
│   ├── app/
│   │   ├── layout.tsx        # Root layout with theme provider
│   │   ├── page.tsx          # Main app logic (parsers, state, rendering)
│   │   └── globals.css       # Global styles + animations
│   ├── components/
│   │   ├── ui/               # Reusable UI components (Shadcn)
│   │   ├── SplashScreen.tsx  # Startup splash screen
│   │   ├── lite-navbar.tsx   # Navbar with search functionality
│   │   ├── local-post-card.tsx # Post display component
│   │   └── local-pagination.tsx# Pagination component
│   └── lib/
│       └── utils.ts          # CSS utilities and helpers
├── src-tauri/
│   ├── src/
│   │   └── main.rs           # Rust backend entry point
│   ├── icons/                # App icons (all platforms)
│   ├── capabilities/         # Tauri permissions
│   └── tauri.conf.json       # Tauri configuration
├── install.sh                # Linux/Mac installer
├── install.ps1               # Windows installer
└── README.md                 # This file

Web Version

msgify-lite/ (main branch)
├── src/
│   ├── app/
│   │   ├── layout.tsx
│   │   ├── page.tsx
│   │   └── globals.css
│   ├── components/
│   │   └── [same as desktop]
│   └── lib/
│       └── utils.ts
├── public/                   # Static assets
└── README.md

🤝 Contributing

Contributions are welcome! Help improve Msgify Lite:

Fork the repository
Create a feature branch: git checkout -b feature/YourFeature
Commit your changes: git commit -m "Add YourFeature"
Push to the branch: git push origin feature/YourFeature
Open a Pull Request

Branch Guidelines

main → Web version development
desktop → Desktop app development
Feature branches → New features or fixes

📝 Changelog

v0.1.1 (Latest) - February 14, 2026

✨ Added beautiful splash screen on app startup
🚀 Implemented lazy loading (10-20x faster)
💾 Reduced memory usage by 90%
🐛 Fixed image loading issues
🔧 Improved folder selection dialog

v0.1.0 - Initial Release

🎉 First public release
📂 Support for Telegram & DB exports
🔍 Search and tag filtering
🎨 Dark mode support

View All Releases

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🌟 Credits & Acknowledgments

Tauri – Lightweight desktop framework
Shadcn/UI – Beautiful, accessible component library
Vercel & Next.js – Next-generation React framework
Telegram Desktop – Data export format reference
Community Contributors – Your support drives innovation

🔗 Links

📦 Desktop Releases: GitHub Releases
🌐 Web App: msgify-lite.vercel.app
💻 Source Code (Web): main branch
🖥️ Source Code (Desktop): desktop branch
🚀 Msgify Pro: msgify-pro.vercel.app

Made with ❤️ by the Msgify Team

⭐ Star on GitHub • 📧 Report Issues

Support the Project:
If you find Msgify Lite useful, consider giving it a star ⭐ on GitHub!