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Drop to GIF vs ImageOptim
Side-by-side comparison for macOS
Drop to GIF
6.0Zero-click animated Gifs
ImageOptim
7.5Tool to optimise images to a smaller size
| Metric | Drop to GIF | ImageOptim |
|---|---|---|
| Category | Utilities | Media & Design |
| AI Score | 6.0 | 7.5 |
| 30-day Installs | 3 | 628 |
| 90-day Installs | 5 | 1.9K |
| 365-day Installs | 56 | 7.7K |
| Version | 1.28 | 1.9.3 |
| Auto-updates | No | Yes |
| Deprecated | Yes | No |
| GitHub Stars | 2.7K | 9.7K |
| GitHub Forks | 137 | 458 |
| Open Issues | 23 | 195 |
| License | — | GPL-2.0 |
| Language | Swift | HTML |
| Last GitHub Commit | 10y ago | 2y ago |
| First Seen | Nov 6, 2015 | Aug 9, 2023 |
Reviews
Drop to GIF
Drop to GIF is a zero-click tool that automatically converts video files into animated GIFs. It's designed for efficiency, making it ideal for users who frequently create GIFs without wanting to go through manual steps.
Converts video files into animated GIFs automatically upon dropping them into the app.
Pros
- + Zero-click functionality saves time for frequent GIF creators.
- + Free and open-source, appealing to users who value transparency and customization.
- + Supports a variety of video formats, enhancing its versatility.
Cons
- - Inactive development since 2015 raises concerns about compatibility and future updates.
- - Unresolved issues, such as excessive temp files, may affect performance.
ImageOptim
ImageOptim is a popular macOS app that optimizes images to reduce file size without compromising quality. It's widely used by web developers and designers to enhance website performance and is known for its effectiveness in cutting image file sizes significantly.
Optimizes images to smaller sizes without losing quality.
Pros
- + Highly effective in reducing image file sizes without quality loss.
- + Popular and widely recognized in the developer community.
- + Open-source with a strong community support.
- + Good integration with macOS ecosystem.
Cons
- - Outdated user interface.
- - Lacks lossy optimization options, which some users desire.