From PNGs to GIFs: Mastering Animated Images in Android with Coil
Article Summary
Pavithra Chamod J from PickMe Engineering tackles a common Android performance trap: GIFs that look great but silently drain memory and tank your UI responsiveness.
This practical guide walks through implementing animated images in Android using Coil, a Kotlin-first image loader with native Jetpack Compose support. The article explains why animated formats behave differently from static images and how to handle them without killing app performance.
Key Takeaways
- GIFs require continuous decoding across multiple frames, unlike single-bitmap PNGs
- Coil auto-selects ImageDecoder (API 28+) or GifDecoder for optimal performance
- Keep animations lightweight and avoid auto-playing multiple GIFs in scrolling lists
- Use Lottie or Rive instead when you need frame control or complex animations
Coil provides a lightweight, Compose-friendly way to handle animated images with minimal setup, but heavy GIFs still cause memory pressure regardless of your loader.
About This Article
Android developers face challenges with animated image formats like GIF, WebP, and APNG. These formats require continuous frame decoding and consume more memory than static PNG or JPEG files. This can slow down UI performance, especially in scrolling lists and when Compose recomposes.
Pavithra Chamod J shows how to use Coil 2.7.0 with the coil-gif dependency. On API 28 and above, it uses ImageDecoder automatically. For older versions, it falls back to GifDecoder. You can then configure ImageRequest with crossfade and cache policies to improve loading performance.
Developers get an approach that handles decoder selection across different Android versions without extra work. The base library stays lightweight since GIF support only loads when you need it. Jetpack Compose integration works smoothly, and coroutines cancel properly when recomposition happens.