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GIF Pal

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Описание

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

Системные требования

WINDOWS:

Минимальные:
  • 64-разрядные процессор и операционная система
  • ОС: Windows 10 (64-bit)
  • Процессор: Dual-core CPU, 2.0 GHz or better (Intel i3 or equivalent)
  • Оперативная память: 4 GB ОЗУ
  • Видеокарта: Integrated GPU (Intel HD Graphics or equivalent) — no dedicated GPU required
  • Сеть: Широкополосное подключение к интернету
  • Место на диске: 500 MB
  • Звуковая карта: Standard Windows-compatible sound device
  • Дополнительно: App uses Win32 APIs for window snapping/tracking; background GIF processing is CPU-bound — large GIFs may run slowly on low-end CPUs.
Рекомендованные:
  • 64-разрядные процессор и операционная система
  • ОС: Windows 10 / 11 (64-bit)
  • Процессор: Quad-core CPU, 2.5 GHz+ (Intel i5 / AMD Ryzen 5 or better)
  • Оперативная память: 16 GB ОЗУ
  • Видеокарта: Modern integrated GPU or entry-level dedicated GPU (for smoother UI)
  • Сеть: Широкополосное подключение к интернету
  • Место на диске: 2 GB
  • Звуковая карта: Standard Windows-compatible sound device
  • Дополнительно: 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).