The JPEG XL image format is gaining traction as a modern alternative offering superior compression, yet its compatibility with Google Search and Discover remains limited. This article explores JPEG XL support status, browser adoption, SEO considerations, and practical recommendations for webmasters and developers.
Current Google Support for JPEG XL
As of mid-2026, Google Search and Discover do not support JPEG XL images for display in Google Images results or preview thumbnails on Discover. John Mueller, a Google Search Advocate, confirmed that while JPEG XL images can be served using the HTML picture element, the format itself is presently excluded from Google’s recognized image formats. Supported formats in Google’s image SEO documentation include JPEG, PNG, GIF, WebP, SVG, AVIF, and BMP but not JPEG XL.
“If you’re hoping to get images shown in Google Images and as previews in Discover, JPEG-XL is currently not supported,” said Mueller in a public update.
Despite the lack of direct format support, Mueller noted that employing the picture element with fallback image sources in supported formats ensures compatibility with Google’s indexing mechanisms. This approach allows JPEG XL images to be served to capable browsers while providing alternative images for search engines and other platforms.
Browser Support and Technical Advantages of JPEG XL
JPEG XL is currently supported in major browsers including Google Chrome (since version 155), Firefox (from version 158), and Safari (version 17 and onwards). However, Microsoft Edge has yet to announce support. JPEG XL offers significant benefits such as up to 50% better compression compared to traditional JPEGs, lossless compression options, and support for High Dynamic Range (HDR) images. These features make it particularly attractive for photographers and applications requiring high fidelity with reduced bandwidth.
Chrome’s development team recommends testing both JPEG XL and AVIF, another modern image format already supported across all major browsers and indexed by Google Search since 2024. AVIF has become a de facto modern image format for web use due to its wide support and impressive compression, which serves as a useful comparison for JPEG XL’s adoption timeline and SEO readiness.
Optimizing Image Delivery Amid Format Limitations
Given Google’s indexing constraints, webmasters are advised to embed JPEG XL images inside the picture element with fallback img sources in supported formats like AVIF or WebP to ensure visibility in Google Images and Discover previews. Additionally, using schema.org markup or the og:image meta tag with these fallback image URLs benefits recipe and rich result displays, aligning with Google’s recommendations for Discover thumbnail images.
This layered approach provides an optimal user experience for browsers capable of rendering JPEG XL, while preserving SEO value and discoverability across Google’s platforms. For those interested in detailed best practices, Google’s Image SEO guidelines and Discover image recommendations are essential references.
Comparing JPEG XL and AVIF for SEO Strategy
AVIF’s earlier introduction and comprehensive support offer lessons useful to understanding JPEG XL’s potential adoption curve. AVIF was first supported by Chrome in 2020 and fully integrated into Google Search in 2024, providing wide compatibility and indexing benefits. Conversely, JPEG XL is still emerging, with limited browser and no Google Search indexing support.
Decision-makers must balance adoption of JPEG XL for its technical merits against current SEO visibility needs. Using AVIF or WebP as fallback sources ensures uninterrupted discovery and avoids indexing penalties due to unsupported formats.
Experts suggest monitoring technological enhancements and official Google updates to anticipate when JPEG XL might gain indexing support. Observing the Google Search Central changelog can provide timely insights for strategizing image format transitions.
Industry Perspectives and Future Outlook
“As JPEG XL matures in browser support and gains backing from indexing engines, it will become a powerful tool for web image optimization,” said digital marketing specialist Karen Liu. “Until then, a hybrid approach combining modern fallback formats is the safest SEO practice.”
In the evolving landscape of web image formats, JPEG XL holds promise due to its compression efficiency and image quality. Its uptake in browser ecosystems like Chrome and Firefox marks progress, yet lack of Google Search support limits its immediate utility for SEO.
Developers and SEO professionals must maintain a flexible image strategy, incorporating fallback mechanisms and aligning with Google’s current supported formats. This ensures image discoverability while preparing for prospective format adoption.
Additional Considerations for Website Operators
For websites aiming to optimize ad performance and user engagement, leveraging tools such as AI agents to manage image delivery and advertising can enhance efficiency. Platforms offering AI-powered automation can reduce manual oversight and improve formats and placements intelligently.
Those looking to minimize wasted ad spend and improve campaign ROI should consider integrating specialized solutions. For instance, Adsroid provides innovative features to assist marketers in navigating these technical nuances effectively, detailed on their technology features page and available trials.
Regular audits of image SEO and technical performance alongside comprehensive search term analysis can uncover opportunities to enhance visibility. Articles like how to read the Google Ads search terms report provide actionable insights beneficial for comprehensive digital marketing strategies.
Conclusion
JPEG XL represents a significant advancement in image compression technology, offering lossless and HDR capabilities with notable size reductions. However, Google’s current indexing ecosystem does not yet accommodate JPEG XL images for Search and Discover visibility.
Implementing a fallbacks-based delivery approach using supported formats like AVIF or WebP remains essential to ensuring SEO value. Keeping abreast of browser adoption and Google’s announcements will enable marketers and developers to adapt image strategies effectively. Meanwhile, leveraging AI-driven tools can further optimize advertising and image delivery workflows, maximizing both user experience and search engine performance.