Compare file size
Do not assume the new format wins. Compare the AVIF result against the current optimized JPG or WebP.
Advanced web delivery
Create compact AVIF delivery files from JPG photography when stronger compression is worth a more deliberate compatibility and fallback strategy.
Private browser processing. TinySharp keeps the smaller result automatically on optimization workflows.
Reliable AVIF export may require backend conversion if the browser cannot encode AVIF.
AVIF decision framework
The safest production setup keeps original or fallback assets available. Convert, compare and test before changing a live image pipeline.
Production checklist
Do not assume the new format wins. Compare the AVIF result against the current optimized JPG or WebP.
Zoom into faces, product edges, gradients, shadows, text and repeated patterns where artifacts are easiest to notice.
Confirm the browser, CDN and cache are actually serving AVIF to compatible visitors instead of an older URL.
Retain JPG or WebP until you have confirmed that editing, sharing and external integrations still work.
JPG, WebP or AVIF?
Deploy AVIF safely
Manual conversion is useful for testing. WordPress and Chrome help verify the live workflow around the file.
Keep backups, process Media Library images and enable frontend delivery only after testing the site and cache.
Review the WordPress workflowScan the page for image URLs, dimensions, alt text and format opportunities before changing production assets.
Install the browser audit toolConvert JPG to WebP when broad support and a lower-complexity production path matter more than maximum compression.
Open JPG to WebP converterJPG to AVIF FAQ
Answers for teams considering AVIF as a production delivery format.
Often, but not always. Results depend on image detail, dimensions and quality settings, so compare the output instead of assuming every conversion is a win.
No. Keep the JPG as a source or fallback file until you have tested AVIF delivery across your website, CDN and cache layers.
Modern browser support is strong, but production websites should still test their audience, image pipeline and fallback behavior.
Start around 70 to 80 for photographic web images, then inspect detailed areas such as text, faces, gradients and product edges.