Browser only - 100% private

JPG to AVIF Converter

Convert JPG images to modern AVIF for the smallest file sizes - runs entirely in your browser.

Instant preview Privacy-first No signup

Settings

Tune output without leaving the browser.

FromJPG
Fetching encoder…
OriginalNo file
ProcessedWaiting
Reduction-
ProcessingBrowser

Before / after preview

Compare the source image with the generated file.

OriginalWaiting
Upload an image to begin
ProcessedWaiting
Run a tool to preview output

Result download

Your processed image will appear here.

Useful to know

Privacy and processing

AVIF encoding runs in your browser via a small WebAssembly encoder (~300KB) that's downloaded once and cached for offline use. Your file never uploads to a server.

JPG to AVIF online with ImgShifter

JPG to AVIF is the endgame of image optimization in 2026: the same photo at the same visual quality in roughly half the bytes. For an image-heavy site that's not a rounding error - it's the difference between passing and failing Core Web Vitals on slower connections, achieved without touching a single layout or line of code beyond the image files themselves.

Encoding AVIF in a browser used to be impossible; ImgShifter does it with a ~300 KB WebAssembly build of the AVIF encoder that downloads once and is cached permanently. AV1 compression is genuinely heavy computation, so large photos take a few seconds on the CPU - the progress is visible, and the payoff is the smallest file any mainstream format can produce. Your photo itself never leaves the device.

Deploy AVIF where browsers are the audience: every modern one renders it. For email, desktop software, and upload portals, keep a JPG copy - and when you convert, always start from your best original, since stacking lossy encodes (JPG, then AVIF) costs a sliver of quality at each step.

Other ImgShifter tools people use alongside JPG to AVIF.

Deeper guides related to JPG to AVIF from the ImgShifter blog.

Frequently asked questions

Short answers for image workflows, privacy, and supported formats.