Manage animated desktop pets with advanced tools for background removal, outline styling, scaling, and movement control. Supports GIF importing, collider calculation, and real-time customization for smooth, interactive pet behavior.
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About This Software

This is my first project — a lightweight Windows desktop tool.
It allows you to edit, outline, and process GIFs and images through a clean, modern interface.
The application also includes an interactive GIF snapping feature, letting you attach animated GIFs to windows and move them seamlessly across your desktop.

The app receives regular updates, design refinements, and new features based on user feedback.

Current Features 

  • GIF and image processing with quick load and export

  • Adjustable outline and color effects

  • Window snapping system for placing GIFs directly onto active windows

  • Draggable and movable animated overlays

  • Multi-threaded CPU support for faster rendering

  • Smart cache system for processed GIFs

  • Modern dark mode and compact interface

  • Native Windows API integration for smooth performance

系統需求

    最低配備:
    • 需要 64 位元的處理器及作業系統
    • 作業系統: Windows 10 (64-bit)
    • 處理器: Dual-core CPU, 2.0 GHz or better (Intel i3 or equivalent)
    • 記憶體: 4 GB 記憶體
    • 顯示卡: Integrated GPU (Intel HD Graphics or equivalent) — no dedicated GPU required
    • 網路: 寬頻網際網路連線
    • 儲存空間: 500 MB 可用空間
    • 音效卡: Standard Windows-compatible sound device
    • 備註: App uses Win32 APIs for window snapping/tracking; background GIF processing is CPU-bound — large GIFs may run slowly on low-end CPUs.
    建議配備:
    • 需要 64 位元的處理器及作業系統
    • 作業系統: Windows 10 / 11 (64-bit)
    • 處理器: Quad-core CPU, 2.5 GHz+ (Intel i5 / AMD Ryzen 5 or better)
    • 記憶體: 16 GB 記憶體
    • 顯示卡: Modern integrated GPU or entry-level dedicated GPU (for smoother UI)
    • 網路: 寬頻網際網路連線
    • 儲存空間: 2 GB 可用空間
    • 音效卡: Standard Windows-compatible sound device
    • 備註: For processing many or very large GIFs (100+ frames, HD), 16 GB RAM and SSD significantly improves responsiveness. App leverages NumPy/SciPy CPU paths — more CPU cores help with parallel processing (up to 4 workers by default).

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