Images
Image assets are the most fundamental and numerous components of a game library. Sharp Stock provides full-process support for image resources, from lightning-fast previews and deep metadata extraction to convenient image processing.
1. Supported Image Format Standards
The system is deeply compatible with modern Web standards and various industry-mainstream image formats:
- PNG: Supports full Alpha transparency channels.
- JPG / JPEG: Suitable for background images and large-scale materials without transparency.
- WebP: Supports both static and dynamic WebP formats, offering superior compression ratios.
- PSD: Supports rapid previewing of Adobe Photoshop native project files.
- GIF: Supports both static and dynamic animations; the detail panel will automatically loop animations.
- TIFF / BMP: Supports basic thumbnail display and physical attribute parsing.
- ICO: Supports Windows-specific icon files.
2. Core Functional Features
Intelligent Metadata Recognition
- Resolution Parsing: Once a resource is entered into the library, the system automatically extracts its physical width and height and displays them in real-time in the detail panel.
- High-Performance Preview: Utilizes hardware-accelerated rendering technology, allowing even ultra-large 4K and higher resolution images to be zoomed and panned smoothly in the preview area.
Convenient Processing Tools
To improve development efficiency and reduce dependence on heavy design software, the system includes:
- Quick Editing: Provides rotation, mirror flipping, resizing, and TinyPNG intelligent compression. See Image Tools for details.
- AI Smart Labeling: Supports one-click generation of category tags and content descriptions via AI models. See Metadata System for details.
3. Organization & Management Suggestions
- Application of Naming Conventions: We recommend teams follow unified naming conventions. In Sharp Stock, you can use the "Filename" dimension in the top search bar to quickly locate resources for specific modules via prefixes.
- Regular Size Optimization: Combined with the TinyPNG compression tool, periodically perform volume optimization on redundant large images in the library to reduce package weight.