TextGO is a cross-platform text processing tool that automatically recognizes text types and executes custom actions. Trigger it with hotkeys, mouse double-click, or text selection, and choose between instant execution or interactive toolbar mode.

1. Multiple Trigger Methods: Global hotkeys, mouse double-click, or text selection - each with independent rule configurations.
2. Flexible Execution Modes: Choose instant execution or interactive toolbar mode based on your workflow.
3. Ready to Use: Built-in rich text types and processing actions, simple configuration for immediate use.
4. Highly Extensible: Extend with regex, ML models, scripts, or local AI for custom recognition and processing.
5. Customizable Icons: Choose from built-in icon library or upload custom SVG icons to create a personalized toolbar.

Download the installer for your platform from GitHub Releases and follow the installation instructions.

On macOS, the following permissions are required for proper functionality:

1. Accessibility: Required for simulating keyboard input
2. Input Monitoring: Required for listening to mouse events

The system will automatically prompt you to grant these permissions while using the app. You can also manually configure them in "System Settings" > "Privacy & Security".

sudo xattr -r -d com.apple.quarantine /Applications/TextGO.app

1. Refer to Tauri official documentation to install Rust and Node.js (use pnpm as the package manager)

2. Clone and setup:

   git clone https://github.com/C5H12O5/TextGO.git
   cd TextGO
   pnpm install

3. Run development mode:

   pnpm tauri dev
   # enable debug logs on Unix-like systems
   RUST_LOG=debug pnpm tauri dev
   # enable debug logs on Windows PowerShell
   $env:RUST_LOG="debug"; pnpm tauri dev

4. Build installer:

   pnpm tauri build

This project is built upon many excellent open source projects. We would like to express our sincere gratitude to all the developers and contributors of these projects.

For a complete list of third-party dependencies and their licenses, please see LICENSES.md.

This project is released under the GPLv3 open source license.