Topaz Gigapixel vs Upscayl
Side-by-side comparison for macOS
Topaz Gigapixel
6.0AI image upscaler
Upscayl
8.0AI image upscaler
| Metric | Topaz Gigapixel | Upscayl |
|---|---|---|
| Category | Media & Design | Media & Design |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 17 | 961 |
| 90-day Installs | 43 | 2.6K |
| 365-day Installs | 136 | 7.3K |
| Version | 1.1.3 | 2.15.0 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 4 | 43.9K |
| GitHub Forks | - | 2.1K |
| Open Issues | - | 64 |
| License | — | AGPL-3.0 |
| Language | — | TypeScript |
| Last GitHub Commit | 1y ago | 1mo ago |
| First Seen | Sep 22, 2025 | Jan 25, 2024 |
Reviews
Topaz Gigapixel
Topaz Gigapixel is an AI-powered image upscaler that enhances photo quality by increasing resolution. It offers a user-friendly tool for photographers and designers to improve image clarity and detail. Ideal for those needing high-resolution images without professional retouching.
Enhances image resolution using AI to increase clarity and detail.
Pros
- + AI-driven upscaling effectively enhances image quality.
- + User-friendly interface suitable for both casual users and professionals.
- + Auto-update feature ensures the app remains current with the latest features.
Cons
- - Limited community engagement and feedback.
- - Unknown license and language details may raise concerns about project transparency.
Upscayl
Upscayl is a free, open-source AI image upscaler that enhances image resolution locally, offering a privacy-focused alternative to cloud-based solutions. It supports multiple platforms, including macOS, making it ideal for photographers and designers seeking high-quality image processing.
Upscayl uses AI to upscale images, increasing their resolution while maintaining quality.
Pros
- + Free and open-source with a large community following.
- + Cross-platform support for Linux, macOS, and Windows.
- + Local processing ensures privacy and no cloud dependency.
Cons
- - Lack of auto-updates may lead to outdated installations.
- - Known issues with handling large images and specific file paths.