Initial Release of ImageBasedAutoClicker

Overview

The Image-Based Auto Clicker is a powerful tool that automates clicking based on image recognition. Developed with Python, it provides a user-friendly graphical interface built using CustomTkinter, making the setup and operation simple and intuitive. This auto clicker allows users to specify custom images, set offsets, and click locations dynamically, helping automate repetitive clicking tasks in an intelligent way.

With the Image-Based Auto Clicker, you can:

• Upload or paste images for the clicker to search for on your screen.
• Automate clicks on those images, with configurable positions and offsets.
• Customize BlueStacks integration for quick emulator adjustments.
• Save and load clicker configurations to easily resume automation.

This application aims to make repetitive tasks easier, whether you are gaming, filling out forms, or just in need of a helpful automation tool.

Features

• Image Recognition Click Automation: Upload images that you want the clicker to recognize and act upon.
• Clipboard Integration: Paste images directly from your clipboard into the application.
• Offset Control: Customize the click positions by adding X and Y offsets for precise automation.
• BlueStacks Integration: Adjust BlueStacks window size directly from the app for seamless Android emulator automation.
• User-Friendly GUI: Simple, elegant GUI using CustomTkinter for easy interaction.
• Save and Load Configurations: Store your automation setups and load them again for quick resumption.

License

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

Contact

For any questions or feedback, feel free to reach out to Fabian Vinke at fabivinke@gmail.com.

Thank you for using the Image-Based Auto Clicker! If you found this project helpful, please leave a star on the repository. 😊