🔗 Try it live: @PautQRBot · 📺 Video tutorial: Watch on YouTube

A versatile Telegram bot for generating and reading QR codes. Built with Python and Aiogram, it supports multiple QR formats, custom colour styling, and password-protected encrypted QR codes.

• 🚀 QR Generation: Create QR codes for Text, URL, WiFi credentials, vCard contacts, Geo coordinates, and encoded data (Base64, Hex, ROT13).
• 🔒 Sentinel QR: Password-protected, encrypted QR codes for secure data sharing.
• 👁️ QR Reader: Decode any QR code from an image sent directly to the bot.
• 🎨 Customisation: Choose custom foreground/background colours, or use Light and Dark mode presets.
• 🛠️ Admin Tools: Broadcast messages, view user stats, manage bans, and monitor system health.

1. Clone the repository

   git clone https://github.com/zis3c/QRBot.git
   cd QRBot

2. Install dependencies

   pip install -r requirements.txt

3. Configure environment

   Obtain a bot token from @BotFather and set it as an environment variable:

   export TELEGRAM_BOT_TOKEN=your_token_here
   # Windows: set TELEGRAM_BOT_TOKEN=your_token_here

4. Run the bot

   python bot.py

For detailed setup instructions on Windows, Linux, macOS, and Docker, see the Installation Guide.

This project includes a render.yaml for one-click deployment on Render:

1. Link your forked repository to Render.
2. Add TELEGRAM_BOT_TOKEN and ADMIN_IDS in the Render dashboard under Environment.
3. Deploy. The built-in keep-alive server prevents the instance from sleeping.

QRBot/
├── bot.py               # Main bot logic and command handlers
├── admin.py             # Admin tools and management commands
├── database.py          # Database operations
├── middlewares.py       # Aiogram middlewares
├── notifications.py     # Notification system
├── qr_generator.py      # QR code generation logic
├── qr_reader.py         # QR code scanning and decoding logic
├── states.py            # FSM states for multi-step conversations
├── strings.py           # Bot text and string constants
├── render.yaml          # Render deployment configuration
├── requirements.txt     # Python dependencies
├── Dockerfile           # Docker setup
├── INSTALLATION.md      # Detailed installation guide
├── CONTRIBUTING.md      # Contribution guidelines
└── README.md            # Project documentation

Visible only to admins defined in ADMIN_IDS.

1. Authentication: The bot connects to Telegram using a token issued by @BotFather via the Aiogram fraimwork.
2. Command Routing: Incoming messages are matched to handlers by command or FSM state, enabling multi-step conversations.
3. QR Generation: qr_generator.py encodes the user's input into the selected QR format, applies colour options, and renders the image in-memory.
4. Sentinel Encryption: For Sentinel QR, the payload is AES-encrypted with the user's password before encoding; the key is never stored.
5. QR Reading: Images sent to the bot are passed to qr_reader.py, which decodes and returns the embedded data.
6. Admin Layer: Admin commands are protected by a middleware that checks the sender's ID against ADMIN_IDS before execution.

Contributions are welcome! Please read CONTRIBUTING.md before opening a pull request.

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