AVIF vs JPG: Is AVIF Worth Using Yet?

AVIF has been "the format you should switch to" for about five years now. And for most of those five years, there were real reasons to hold off: patchy browser support, slow encoding, limited tooling, and the nagging uncertainty of whether a format backed by a consortium of tech companies would actually stick around.

In 2026, most of those objections are gone. What is left is a genuine comparison worth making: how much better is AVIF than JPEG in practice, where does JPEG still win, and what does it actually take to start serving AVIF on a real site?

What AVIF Is and Where It Came From

AVIF stands for AV1 Image File Format. It takes the compression technology developed for the AV1 video codec and applies it to still images. AV1 was built by the Alliance for Open Media, a consortium that includes Google, Apple, Netflix, Meta, Microsoft, Amazon, and Mozilla. It is royalty-free, open-source, and was specifically designed to replace the older codecs that required patent licensing fees.

JPEG dates from 1992. Its compression algorithm divides an image into fixed 8x8 pixel blocks and applies a discrete cosine transform to each block. That approach was genuinely clever in 1992 and it is why JPEG files are still manageable today. The limitation is that fixed block sizes handle some images poorly: compression artifacts appear as blocky distortions at sharp edges and gradients, and the algorithm has no way to adapt to the content it is processing.

AVIF uses adaptive block sizes from 4x4 to 128x128 pixels, with 56 directional prediction modes that analyze nearby content to predict what a block should contain before encoding it. Instead of storing every value, it stores the difference between the prediction and reality, which requires far less data. The residual is then encoded using context-adaptive binary arithmetic coding, which adapts its probability models as encoding progresses and achieves roughly 15-20% better compression than JPEG's Huffman coding on the same data.

The practical result of all that: at equivalent perceived visual quality, AVIF files are typically 40-50% smaller than JPEG. That figure comes from Netflix's engineering team, which benchmarked AVIF against JPEG across a representative image set and reported consistent gains on photographic content, skin tones, and gradients. Independent tests by Cloudflare and Google produced similar numbers. A 500KB JPEG photograph typically compresses to around 250KB as AVIF with no visible quality difference. A 494KB source image in a ShortPixel WordPress optimization test compressed to 43KB as AVIF, a 91% reduction.

The Browser Support Question Is Settled

Three years ago, browser support was the genuine blocker. AVIF landed in Chrome 85 in August 2020, Firefox 93 in October 2021, and Safari did not ship it until Safari 16 in September 2022. That late Safari adoption meant iPhone and Mac users on older operating systems could not render AVIF files at all.

In 2026, the picture is different. Chrome, Edge, Firefox, Safari, and Opera all support AVIF by default. Samsung Internet has supported it since version 14. Global browser support sits above 94% according to caniuse data from early 2026.

The remaining gap, roughly 5-6%, consists mainly of users on iOS 15 and earlier (which predates Safari 16), a small regression in Edge 118-120 that was fixed in Edge 121 in January 2024, and some older Android browsers. For most audiences, that gap is below the threshold of practical concern. For sites that serve international audiences on older hardware, where the gap may be somewhat higher, the <picture> element provides a one-line fallback.

<picture>
  <source srcset="image.avif" type="image/avif" />
  <source srcset="image.webp" type="image/webp" />
  <img src="image.jpg" alt="..." />
</picture>

Browsers read source elements in order and use the first format they support. Browsers without AVIF support fall through to WebP, then to JPEG. The JPEG at the bottom costs nothing unless it is actually used.

AVIF vs JPEG: Where Each Format Wins

The numbers favor AVIF clearly on average. But averages hide variance, and understanding where each format actually performs better helps you make practical decisions.

Where AVIF wins clearly

Photographs with complex color gradients, skin tones, out-of-focus backgrounds, and natural scenes with varied texture are where AVIF's adaptive encoding shines. These are the image types that represent the majority of what most websites serve. A product photo, a headshot, a landscape, a food photograph: all will typically be 40-50% smaller as AVIF than as JPEG at matched visual quality.

AVIF also handles aggressive compression significantly better than JPEG. At high compression ratios (small file sizes relative to image complexity), JPEG produces blocky artifacts that look like the image was divided into squares, because it was. AVIF produces smoother degradation at the same file size, which is measurable through SSIM (Structural Similarity Index) scoring. An AVIF image at quality 75 typically matches the perceived quality of JPEG at quality 85-90 while being 40-50% smaller.

Images with transparency benefit from AVIF over JPEG as well. JPEG does not support transparency at all, which is why transparent images have traditionally required PNG. AVIF supports alpha transparency with efficient compression, often significantly smaller than equivalent PNG.

Where JPEG holds its own

For high-quality photographs where quality setting is near 90-100%, the efficiency gap between AVIF and JPEG narrows. At very high quality settings, the residual data that AVIF encodes more efficiently is smaller to begin with, so the advantage shrinks. JPEG XL is technically better than AVIF for archival-quality images, but that is a different comparison.

Simple graphics with flat areas of solid color, such as screenshots, UI mockups, and diagrams with text, sometimes compress to similar sizes in both formats at high quality settings. For these image types, PNG or WebP lossless may actually be smaller than either lossy JPEG or AVIF.

Images destined for print workflows, photo editing, or archiving should stay as JPEG or TIFF regardless of the AVIF quality advantage, because most professional editing software has only recently begun supporting AVIF. Photoshop added native AVIF support in the June 2025 release (version 26.x). Before that, working with AVIF in professional contexts required third-party plugins.

Where JPEG is simply more compatible

Email clients do not support AVIF. Email content is rendered in proprietary engines (Outlook uses Microsoft Word's rendering engine for emails in Windows, which does not support AVIF), and using AVIF in HTML emails will break display for a meaningful percentage of recipients.

Government portals, HR systems, and most document upload forms require JPEG. As covered in the guide on passport photo compression and compressing photos for job applications, these systems validate format explicitly and reject anything other than JPEG. AVIF is a web format. It is not a document exchange format.

Encoding Speed: The Real Practical Limitation

The one honest disadvantage AVIF has over JPEG in 2026 is encoding speed. Encoding an AVIF file takes 5-20 times longer than encoding a JPEG or WebP file at comparable quality. An image that JPEG encodes in 50 milliseconds might take 500ms to 1,000ms as AVIF.

For build-time image pipelines, this is manageable. You encode once and serve many times. Next.js, Astro, Nuxt, and similar frameworks can generate AVIF versions at build time, and the encoding cost is paid once per deployment.

For on-the-fly encoding where images are generated per request (some CMS setups, dynamic image services), AVIF's encoding cost can add meaningful latency to the first request for each image variant. CDN-based image services like Cloudflare Images and Fastly handle this by caching the AVIF version after the first request, so subsequent visitors never see the encoding delay.

For browser-based conversion, encoding AVIF takes noticeably longer than encoding JPEG or WebP, but for typical web image sizes (under 5MB) the difference is seconds, not minutes. The JPG to AVIF converter and PNG to AVIF converter run entirely in the browser using WebAssembly, so nothing is uploaded to a server and the encoding happens locally.

What About WebP?

WebP sits between JPEG and AVIF in compression efficiency. At equivalent visual quality, WebP files are typically 25-35% smaller than JPEG and 15-25% larger than AVIF. Global browser support for WebP is slightly higher than AVIF at around 96%, because Chrome added WebP in 2020 and Safari in 2022, while AVIF came slightly later to Safari.

For sites that are already serving WebP and considering whether to upgrade to AVIF: the compression gain from WebP to AVIF is real but smaller than the gain from JPEG to AVIF. The question is whether the migration effort justifies a 15-25% additional size reduction. For high-traffic sites where bandwidth costs and LCP scores matter, yes. For smaller sites, WebP may be a more practical intermediate step.

For sites still serving JPEG: go directly to AVIF with a WebP fallback rather than migrating to WebP as an intermediate step. You get the full 40-50% saving in one move.

The WebP vs AVIF comparison guide covers the format-to-format comparison in more depth if you want the full picture before deciding which to target.

AVIF and Core Web Vitals

The direct line between AVIF adoption and LCP scores is significant enough to be worth stating plainly.

LCP (Largest Contentful Paint) is the Core Web Vital that measures how quickly the main content of a page becomes visible. Images are the LCP element on roughly 85% of desktop pages and 76% of mobile pages according to the 2025 Web Almanac. A hero image that is 400KB as JPEG will typically be around 200-220KB as AVIF at the same visual quality. That is a real reduction in time-to-first-byte for the most important image on the page.

Google's threshold for a Good LCP is under 2.5 seconds. The difference between a 400KB hero image and a 200KB hero image is not dramatic on a fast connection, but on a mobile connection in conditions with high latency, it can move a page from the Needs Improvement range to the Good range. The guide on how image compression affects SEO and page speed covers the connection between image size, LCP scores, and search rankings with specific data on what the performance threshold differences mean in practice.

How to Convert JPEG Images to AVIF Today

Converting existing JPEG images to AVIF does not require any software installation. The JPG to AVIF converter handles this in the browser with nothing uploaded to a server. Drop in a JPEG, download an AVIF.

For PNG images, the PNG to AVIF converter works the same way. For WebP files already in use, WebP to AVIF converts directly.

If you want to go the other direction, perhaps because a specific use case requires JPEG, the AVIF to JPG converter and AVIF to PNG converter handle that as well.

So: Is AVIF Worth Using Yet?

Yes. The question made more sense in 2022 than it does today.

Browser support is above 94% globally. WordPress has supported AVIF uploads natively since version 6.5 in April 2024. Photoshop added native support in June 2025. The format is royalty-free and backed by every major tech company.

The compression advantage over JPEG is real and well-documented: 40-50% smaller at equivalent visual quality in typical photographic content, measurably better handling of aggressive compression, and support for transparency that JPEG simply does not have.

The practical step is to use the <picture> element to serve AVIF with a JPEG fallback rather than switching wholesale, which means legacy browsers continue to get valid images while modern browsers get smaller files. That implementation requires no complex logic, no server-side detection, and works in every browser that supports HTML.

AVIF is not worth using for email content, document uploads, or professional editing workflows where compatibility outside the browser matters. For every image that will be displayed in a browser, which is the majority of images on most websites, the 40-50% size reduction is a real improvement with no meaningful downside.

The question stopped being "is AVIF ready" sometime in 2023. The better question now is how to make the conversion practical, and the answer to that is a browser-based converter and a <picture> tag.