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For a more extreme example of the differences between JPEG and AVIF, we can look at an example from the Kodak dataset ( evaluated by Netflix) comparing a JPEG (4:4:4) at 20KB to an AVIF (4:4:4) at 19.8KB.Notice how the JPEG has visible blocky artifacts in the sky and roof.The AVIF is visibly better, containing fewer blocking artifacts.There is, however, a level of texture loss on the roof and some blurriness.It’s still quite impressive, given the overall compression factor is 59x.See the Pen [Image format comparison 4a (netflix)](https://codepen.io/smashingmag/pen/abwXJvg) by Addy Osmani .See the Pen Image format comparison 4a (netflix) by Addy Osmani .
Next, let’s evaluate the quality of a beach image with many fine details, textures, and areas of low contrast in the clouds.
We will compare the original (at 482KB) to what JPEG, WebP, and AVIF can produce with a 45KB file-size limit (with no advanced tuning) — using Squoosh; this works out at JPEG (MozJPEG) at 50% quality, WebP at 54%, and AVIF at 36%.
See the Pen [Image format comparison 3a (size)](https://codepen.io/smashingmag/pen/rNwPyxP) by Addy Osmani .
The JPEG has blocky artifacts and visible color banding in the clouds and water, while the WebP and AVIF have noticeably less of this blockiness observable.In my opinion, the AVIF offers the overall smoothest experience of all three.See the Pen [Image format comparison 3a (crop)](https://codepen.io/smashingmag/pen/jOwdBqx) by Addy Osmani .See the Pen Image format comparison 3a (crop) by Addy Osmani .
Speaking of textures, we can also perform a similar lower-quality evaluation on a Netflix poster for “The Witcher” (targeting 36KB).
Notice the blockiness in the clouds for the JPEG and some blurriness around the red text for WebP (which only supports 4:2:0 chroma subsampling without workarounds).The AVIF looks best, followed by the WebP.See the Pen [Image format comparison 5a (size)](https://codepen.io/smashingmag/pen/dyRavXY) by Addy Osmani .See the Pen Image format comparison 5a (size) by Addy Osmani .
Finally, let’s look at a photo with a lot more text elements than previous images — a poster.
When we go down to lower qualities and target a reasonably small size (25KB), we can observe that the JPEG has strong color banding and halos around the text.There are clear blocky artifacts around the edges.The WebP avoids an amount of the blockiness, looking incrementally better.The AVIF preserves the sharp edges a little better than either JPEG or WebP, producing a smooth image.See the Pen [Image format comparison 4a (size)](https://codepen.io/smashingmag/pen/WNOPpxM) by Addy Osmani .
Additional format vs quality comparisons are available for photography and illustrations .
AVIF Tooling And Support
Since its release in 2019, the support for AVIF has increased considerably.While there was no direct method to create or view AVIF files earlier, you can easily do so now with the open-source utilities available.AVIF Images In The Browser
AVIF was introduced on the desktop version of Chrome in August 2020 with Chrome 85 .It is also supported on Chrome for Android, Opera and Firefox for desktop, and Opera for Android.
To include an AVIF image on your page, you can add it as an image element.
However, browsers that do not support AVIF cannot render this image.
A workaround to ensure that at least one supported image format is delivered to all browsers is to apply AVIF as a progressive enhancement .There are two ways to do this.Progressive Enhancement Using The
E.g., the Accept Request Header for images in Chrome is: Accept: image/avif,image/webp,image/apng,image/*,*/*;q=0.8 The code to check if AVIF is supported in the fetch event handler can look something like this: const hdrAccept = event.request.headers.get(“accept”); const sendAVIF = /image/avif/.test(hdrAccept); You can use this value to serve AVIF or any other default format to the client.
Creating the markup for progressive enhancement can be daunting.Image CDN’s offer the option to automatically serve the best format suitable to the client.However, if you are not using an image CDN, you can consider using a tool like just-gimme-an-img .This tool can generate the markup for the picture element for a given image with different formats and widths.
It also creates the images corresponding to the markup using Squoosh entirely client-side.Note: encoding multiple formats can take a while using it, so you might want to grab a coffee while you wait.( Large preview )
Note: Image CDNs are mentioned a few times in this article.CDN servers are often located closer to users than origin servers and can have a shorter round-trip times (RTT), improving network latency.
That said, serving from a different origin can add round-trips and impact performance gains.This may be fine if the CDN is serving other site content, but when in doubt, experiment and measure.Encode And Decode AVIF Files
Several open-source projects provide different methods to encode/decode AVIF files: Libraries Libaom is the open-source encoder and decoder maintained by AOMedia, the creators of AVIF.The library is continuously updated with new optimizations that aim to reduce the cost of encoding AVIF, especially for frequently loaded or high-priority images.Libavif is an open-source muxer and parser for AVIF used in Chrome for decoding AVIF images.
You can use libavif with libaom to create AVIF files from original uncompressed images or transcode them from other formats.There is also Libheif , a popular AVIF/HEIF encoder/decoder and Cavif .Thanks to Ben Morss, libgd supports AVIF and is also coming to PHP in November.
It calls Rust code in the browser using a WebWorker.The converter library is compiled to WASM using wasm-pack.
Sharp is a Node.js module that can convert large images in standard formats to smaller web-friendly images, including AVIF images.Utilities Image conversion or transformation utilities support the AVIF format.You can use MP4Box to create and decode AVIF files.In Code go-avif implements an AVIF encoder for Go using libaom .
It comes with a utility called avif which can encode JPEG or PNG files to AVIF.
Anyone interested in learning how to create AVIF images using Squoosh or building the command line encoder avifenc can do so at the codelab on serving AVIF files .AVIF And Performance
AVIF can reduce the file size of images due to better compression.As a result, AVIF files download faster and consume lower bandwidth.This can potentially improve performance by reducing the time to load images.
Lighthouse-best practices audit now considers that AVIF image compression can bring significant improvements.It collects all the BMP, JPEG, and PNG images on the page, converts them to WebP and estimates the AVIF file size.
This estimate helps Lighthouse report the potential savings under the “Serve images in next-gen formats” section.
Tim Vereecke reported 25% byte savings and a positive impact on LCP (compared to JPEG) after converting 14 million images on the website to AVIF measured using Real User Monitoring (RUM).AVIF Gotchas
The biggest drawback for AVIF at present is that it lacks uniform support across browsers.Introducing AVIF as a progressive enhancement helps overcome this.A few other aspects in which AVIF does not meet the ideal standards for a modern file format.Modern versions of Chrome (Chrome 94+) do support AVIF progressive rendering while older versions do not.
While at the time of writing there isn’t an encoder that can make these images easily, there is hope this will change.AVIF images take longer to encode and create.This could be a problem for sites that create images files dynamically.However, the AVIF team is working on improving encoding speeds.AVIF contributors at Google have also reported some nice performance gains.Since Jan 1st 2021, AVIF encoding had a ~47% improvement in transcode time (this is speed 6, the current default for libavif) and across the calendar year a 73% improvement.Since July, there’s also been a 72% improvement in transcode times at speed 9 (on-the-fly-encoding).
( Large preview ) Decoding AVIF images for display can also take up more CPU power than other codecs, though smaller file sizes may compensate for this.Some CDNs do not yet support AVIF by default for their automatic format modes because it can still be slower to generate on the first request.WebP
We have mentioned WebP a few times, but let’s briefly cover its history.
Google created the WebP format in 2011 as an image format that would help to make the web faster.Over the years, it has been accepted and adopted widely because of its ability to compress images to lower file sizes compared to JPEG and PNG.WebP offers both lossless and lossy compression at an acceptable visual quality and supports alpha-channel transparency and animation.
Lossy WebP compression is based on the VP8 video codec and uses predictive encoding to encode an image.It uses values in the neighboring blocks of pixels to predict the value in a block and encodes only the difference.
Lossless WebP images are generated by applying multiple transformation techniques to images to compress them.WebP Benefits
WebP lossless images are generally 26% smaller than PNG, and WebP lossy images are 25–34% smaller than JPEG images of similar quality.Animation support makes them an excellent replacement for GIF images as well.The following shows a transparent PNG image on the left and the corresponding WebP image on the right generated by the Squoosh app with a 26% size reduction.
Additionally, WebP offers other benefits like: Transparency WebP has a lossless 8-bit transparency channel with only 22% more bytes than PNG.It also supports lossy RGB transparency, which is a feature unique to WebP.Metadata The WebP file format supports EXIF photo metadata and extreme memory profile (XMP) digital document metadata.It may also contain an ICC color profile.
Animation WebP supports true-color animated images.
Note: In the case of transparent, vector-like images such as the above, an optimized SVG may ultimately deliver a sharper, smaller file compared to a raster format.
WebP Tooling And Support
Over the years, ecosystems other than Google have adopted WebP, and there are many tools available to create, view and load WebP files.Serving And Viewing WebP Files
WebP is supported on the latest versions of almost all major browsers today.( Large preview )
If developers wish to serve WebP on other browsers in the future, they can do so using the
Image Content Delivery Networks (CDN) also support responsive images with automatic format selection for images in WebP or AVIF depending on the browser support.WebP plug-ins are available for other popular stacks like WordPress , Joomla , Drupal , etc.
Initial support for WebP is also available in WordPress core , starting with WordPress 5.8.
You can view WebP images easily by opening them in a browser that supports them.Additionally, you can also preview them on Windows and macOS using an add-on.Installing the Quick Look plug-in for WebP ( qlImageSize ) would allow you to preview WebP files using the Quick Look utility.The WebP team has published precompiled libraries and utilities for the WebP codec for Windows, macOS, and Linux.Using these on Windows allows you to preview WebP images in File Explorer or Windows Photo Viewer.
Converting images to WebP
In addition to the libraries provided by the WebP team, several free, open-source, and commercial image editing tools support WebP.
Utilities: Like AVIF, Squoosh can also convert files to WebP online, as shown in the previous section .XnConvert is a utility that you can install on the desktop to convert different image formats, including WebP.XnConvert can also help with stripping and editing metadata, cropping and resizing, brightness and contrast, customizing color depth, blurring and sharpening, masks and watermarks, and other transforms.
Node.js Modules: Imagemin is a popular image minification module with an add-on for converting images to WebP ( imagemin-webp ).The add-on supports both lossy and lossless WebP modes.
Others: Several apps for image conversion and manipulation support the WebP format.
These include Sketch , GIMP , ImageMagick , etc.A Photoshop plug-in for WebP is also available.WebP Production Usage
Due to its compression benefits over JPEG and PNG, Many large companies use WebP in production to reduce costs and decrease web page load times.Google reports 30–35% savings using WebP over other lossy compression schemes, serving 43 billion image requests a day, 26% of those being lossless compression.
To reach its large user base in emerging markets where data is expensive, Facebook started serving WebP images to Android users.
They observed , “data savings of 25 to 35 percent compared with JPG, and 80 percent compared with PNG”.WebP Gotchas
In its early days, a substantial downside with WebP was the lack of browser and tooling support.There are still few trade-offs with WebP when considering all the features a modern format should ideally support.WebP is limited to 8-bit color precision.
As a result, it cannot support HDR/wide gamut images.WebP does not support lossy images without chroma subsampling.Lossy WebP works exclusively with an 8-bit YCbCr 4:2:0, while lossless WebP works with the RGBA format.This can affect images with fine details, chromatic textures, or colored text.See below for an example.It does not support progressive decoding, however does support incremental decoding .This can somewhat compensate for that, but the effect on rendering can be different.
You should ideally generate WebP files from the best quality source files available.
Converting substandard JPEGs to WebP’s is not very efficient since you lose on quality twice.
Summarizing all the information about the four formats JPEG, PNG, AVIF, and WebP and comparing and quantifying strengths and weaknesses as presented in the previous section, we have come up with the following table.
Note: The number of stars is based on a general opinion and may differ for specific use cases.( Large preview )
Following are some of the key points to be considered when referring to this table.Compression for photographic and non-photographic images may further differ based on the fidelity (quality) of the images.We have indicated an overall score here.You should choose quality and chroma subsampling settings based on the purpose of the images.Low to medium-fidelity images may be acceptable in most scenarios on the web, e.g., for news, social media, and e-commerce.
Image archival, movie, or photography websites require high fidelity images.You should test the actual savings due to compression for high fidelity before converting to another format.Lack of progressive decoding support and speed may be a problem for encoding/decoding AVIF files.For websites with average-sized images, the byte savings due to compression can compensate for speed and the absence of progressive decoding as images get downloaded quickly.When comparing compression offered by image formats, compare file sizes at the same DSSIM .The quality setting used when encoding need not be the same for different formats to yield the same quality of images.A JPEG encoded at a quality setting of 60 may be similar to an AVIF at a quality setting of 50 and a WebP at a quality setting of 65, as suggested by this post .
Extensive studies are still required to measure the actual impact on LCP when comparing formats.We have not included other formats like JPEG XL and HEIC in this comparison.JPEG XL is still in a relatively nascent stage, and only Apple devices support HEIC (while Safari does not).
Royalty and license fees further complicate support for HEIC.
AVIF does check most of the boxes overall, and WebP has better support and offers better compression when compared to JPEG or PNG.As such, you should undoubtedly consider WebP support when optimizing images on your website.Evaluating AVIF if it meets your requirements and introducing it as a progressive enhancement could provide value as the format gets adopted across different browsers and platforms.With quality comparison tooling and improving encoding speeds using AVIF would ultimately get easier.
With thanks to Leena Sohoni-Kasture for her heavy input into this article as well as Patrick Meenan, Frank Galligan and Yoav Weiss for their reviews.
A Smashing Note
Earlier this year, we published a brand new book with Addy on everything you need to know to optimize how you compress, serve and maintain images — boosting performance along the way.We are shipping the books for free worldwide , and if you get the book now , you will also receive a hand-written postcard by Addy with a personal message.Each book is now shipped with a hand-written note by Addy Osmani himself.( Large preview ).