Prompt
I'm trying to convert a whole image library to AVIF, what should I watch for?
Latest observation
Nov 3, 2026
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Converting a whole image library to AVIF can save a lot of space, but there are a few important gotchas to watch for.
1) Compatibility / fallbacks
- AVIF support is good but not universal everywhere.
- Modern browsers support it well, but some older browsers, embedded viewers, email clients, CMS plugins, and desktop software may not.
- If these images are user-facing on the web, keep a fallback format (usually WebP or JPEG/PNG) or use
<picture>with multiple sources.
2) Lossy vs lossless
- AVIF can be lossy or lossless.
- For photos, lossy is usually best.
- For graphics, screenshots, UI assets, logos, or images with sharp edges/text, evaluate whether:
- lossless AVIF works well enough, or
- you should keep PNG/WebP lossless for some assets.
- Don’t assume AVIF is always smaller or better for every image.
3) Transparency
- AVIF supports alpha transparency.
- But transparent images can sometimes compress differently than expected.
- Test transparent PNGs carefully, especially icons and overlays.
4) Animation support
- AVIF supports animation, but:
- tooling support may be uneven,
- encoding can be slower,
- playback may be less reliable than GIF/WebP in some places.
- If you have animated assets, test them separately.
5) Encoding speed and batch processing
- AVIF encoding is usually much slower than JPEG or WebP.
- For a whole library, expect long batch jobs and consider:
- parallel processing,
- queueing,
- caching results,
- encoding only the images you actually need.
- Large images may take a lot of CPU time.
6) Quality settings need tuning
- AVIF quality numbers are not directly comparable to JPEG/WebP quality settings.
- A “quality 80” in one encoder may not match another.
- You’ll want to test a few presets on representative images:
- photos
- screenshots
- noisy/low-light images
- graphics/logos
- Check for:
- banding
- color shifts
- smearing/detail loss
- edge artifacts
7) Color profiles and metadata
- Make sure your conversion pipeline handles:
- ICC color profiles
- EXIF orientation
- GPS/author metadata if needed
- If you strip metadata to save size, confirm that’s acceptable for your use case.
- Some libraries appear rotated incorrectly if EXIF orientation isn’t normalized before/while converting.
8) HDR / wide-gamut images
- AVIF can support advanced color features, but your pipeline/viewers may not preserve them as expected.
- If you have HDR or wide-gamut assets, test carefully across devices.
9) Image dimensions and resampling
- If you’re converting originals at full resolution, decide whether that’s necessary.
- Often you’ll want:
- multiple sizes,
- responsive variants,
- thumbnails separate from full-size assets.
- AVIF is not a substitute for proper resizing strategy.
10) Decoding performance on clients
- AVIF can be heavier to decode than JPEG/WebP, especially on low-power devices.
- This matters if users will load many images at once or on mobile.
- File size savings may not always translate into better real-world performance if decode cost becomes a bottleneck.
11) Batch conversion pitfalls
Watch for:
- corrupted source files
- very small images where AVIF overhead may outweigh savings
- images already optimized well in JPEG/PNG/WebP
- file naming collisions
- accidental overwriting of originals
- broken scripts that convert everything without checking image type or alpha needs
12) Benchmark before a full migration
Before converting the entire library:
- sample representative images
- compare:
- file size
- visual quality
- encode time
- decode/load behavior
- keep a rollback path
Practical recommendation
A good approach is:
- Classify your library: photos, screenshots, logos, transparency, animation.
- Test AVIF on each class with several quality settings.
- Keep originals and produce AVIF as an additional derivative.
- Serve AVIF with fallback if images are user-facing on the web.
- Automate validation so bad conversions don’t slip through.
If you want, I can help you design a safe conversion workflow or recommend encoder settings for your specific image types.