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GIF Pal

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Description

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

System requirements

WINDOWS:

Minimum:
  • Requires a 64-bit processor and operating system
  • OS: Windows 10 (64-bit)
  • Processor: Dual-core CPU, 2.0 GHz or better (Intel i3 or equivalent)
  • Memory: 4 GB RAM
  • Graphics: Integrated GPU (Intel HD Graphics or equivalent) — no dedicated GPU required
  • Network: Broadband Internet connection
  • Storage: 500 MB available space
  • Sound Card: Standard Windows-compatible sound device
  • Additional Notes: App uses Win32 APIs for window snapping/tracking; background GIF processing is CPU-bound — large GIFs may run slowly on low-end CPUs.
Recommended:
  • Requires a 64-bit processor and operating system
  • OS: Windows 10 / 11 (64-bit)
  • Processor: Quad-core CPU, 2.5 GHz+ (Intel i5 / AMD Ryzen 5 or better)
  • Memory: 16 GB RAM
  • Graphics: Modern integrated GPU or entry-level dedicated GPU (for smoother UI)
  • Network: Broadband Internet connection
  • Storage: 2 GB available space
  • Sound Card: Standard Windows-compatible sound device
  • Additional Notes: 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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