Detailed Introduction
Upscayl is a cross-platform, open-source image upscaling application for Windows, macOS and many Linux distributions. By integrating high-quality super-resolution models (e.g., Real-ESRGAN) and GPU-accelerated backends, Upscayl offers a one-click experience to enlarge images while preserving as much detail and naturalness as possible. See the project homepage and repository listed in the frontmatter for downloads and documentation.
Main Features
- Cross-platform desktop app with a user-friendly GUI and batch processing support.
- Multi-model compatibility: switch between models to balance speed and fidelity.
- Hardware-accelerated inference using Vulkan/NCNN backends for improved throughput.
- Multiple distribution channels: releases, App Store, and platform-specific packages.
Use Cases
- Improve old photos or low-resolution assets for personal archives and small content projects.
- Preprocess images in media and design workflows to increase clarity before further editing.
- Quickly batch-upscale large image sets to produce high-resolution previews or deliverables.
Technical Features
- Combines deep-learning-based super-resolution models with local GPU-accelerated backends (NCNN/Vulkan) to perform offline, high-quality inference.
- Open-source codebase licensed under AGPL-3.0, with community-driven maintenance and tooling.
- Extensible model integration points and guides for users to import and test custom models within the app.