January 26, 2025

Serve Images In Next Gen Formats: How to Fix This Technical SEO Issue

by Brent D. Payne Founder/CEO
January 26, 2025
Serve Images In Next Gen Formats: How to Fix This Technical SEO Issue
Summary
Next-gen image formats like WebP and AVIF offer superior compression and quality, significantly improving website performance and SEO. This guide explores the benefits of these formats, implementation strategies, and best practices for optimizing your site’s images.

Understanding Next-Gen Image Formats

Next-gen image formats like WebP and AVIF offer superior compression and quality, significantly improving website performance and SEO.

What are next-gen image formats?

Next-gen image formats represent a leap forward in web image technology. These modern compression techniques, primarily WebP and AVIF, deliver superior visual quality while dramatically reducing file sizes compared to traditional JPEG and PNG formats. WebP, developed by Google, typically reduces file sizes by 25-35% while maintaining similar quality to JPEG. It supports both lossy and lossless compression with alpha transparency. AVIF, based on the AV1 video codec, achieves even more impressive results – often 50% smaller than JPEG – while preserving image quality and supporting advanced features like HDR[1].

Benefits of using modern image formats

Implementing next-gen image formats can transform your website’s performance and user experience. Here are the key advantages:

  1. Faster page loads: Smaller file sizes lead to quicker loading times, especially crucial for mobile users.
  2. Improved SEO: Speed is a ranking factor, and faster-loading images can boost your search engine performance.
  3. Better user experience: Faster-loading pages reduce bounce rates and increase engagement.
  4. Lower bandwidth costs: Smaller image files mean less data transfer, potentially reducing hosting expenses.
  5. Enhanced visual quality: These formats often maintain or even improve image quality despite smaller file sizes.

By leveraging these benefits, you’re not just optimizing images – you’re enhancing your entire digital presence. At Loud Interactive, we’ve seen firsthand how these improvements can lead to significant gains in search rankings and user satisfaction[2].

Comparison of AVIF and WebP

While both AVIF and WebP offer significant advantages over traditional formats, they each have unique strengths. AVIF typically achieves 50-62% better compression than WebP while maintaining higher image quality, particularly in preserving fine details and color accuracy. However, it requires more processing power for encoding and decoding.

WebP, on the other hand, offers faster encoding/decoding speeds and broader browser support (94% vs AVIF’s 77% global support). This makes it a more practical choice for high-traffic sites where server resources are a concern. WebP also handles alpha transparency more efficiently, consuming 26% less space than PNG alternatives[3].

For photography-heavy sites, AVIF’s superior compression and quality retention make it ideal despite the processing overhead. For e-commerce or UI elements where speed is critical, WebP provides a better balance of compression and performance.

Implementing Next-Gen Image Formats

Converting existing images to WebP or AVIF can dramatically reduce file sizes and improve load times, enhancing overall site performance.

Converting existing images to WebP or AVIF

Converting your existing image library to next-gen formats is a crucial step in optimizing your site’s performance. Here are some effective methods:

  1. Command-line tools: Use cwebp for WebP (e.g., `cwebp -q 80 image.jpg -o output.webp`) or avifenc for AVIF.
  2. Batch processing: ImageMagick handles both formats with commands like `magick convert *.jpg -quality 80 webp:-`.
  3. Image editing software: Popular tools like Photoshop (with WebP plugin), Squoosh, or GIMP support direct export to these formats.
  4. Server-side conversion: Libraries like Sharp and ImageMagick integrate with Node.js applications, while GD and Imagick extensions work with PHP.
  5. Cloud services: Solutions like Cloudinary or Cloudflare Images can automatically generate and serve optimized next-gen variants.

When converting, aim for a quality setting between 75-85 for an optimal balance between compression and visual fidelity. For photos, use lossy compression; for graphics with text or sharp edges, use lossless mode[4].

Automating image conversion with plugins

Automating the conversion process ensures that all new and existing images on your site benefit from next-gen formats without manual intervention. For WordPress sites, plugins like ShortPixel and Imagify handle bulk conversion of existing media libraries while automatically processing new uploads to WebP and AVIF.

For non-WordPress sites, build tools like Webpack (with imagemin-webp) or Gulp (with gulp-webp) can automate conversion during the development process. CDN services often offer automated conversion through their image transformation APIs – simply enable the feature and specify desired formats in your delivery URLs.

These automation tools typically handle format detection, quality optimization, and fallback image delivery while maintaining original files as backups. This approach ensures that your site always serves the most optimized images possible, improving performance without ongoing manual effort[5].

Serving next-gen formats with HTML picture element

The HTML picture element is key to serving next-gen image formats while maintaining broad browser compatibility. Here’s a basic example of how to implement it:

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

This structure allows browsers to select the first supported format, falling back to the standard img element if none match. You can also combine format selection with responsive design:

<picture>
  <source media="(min-width: 800px)" srcset="large.avif" type="image/avif">
  <source media="(min-width: 800px)" srcset="large.webp" type="image/webp">
  <source srcset="small.avif" type="image/avif">
  <source srcset="small.webp" type="image/webp">
  <img src="fallback.jpg" alt="description">
</picture>

This approach ensures that your images are not only in the most efficient format but also appropriately sized for the user’s device[6].

Optimizing Performance with Next-Gen Formats

Next-gen image formats can significantly reduce page weight and improve load times, directly impacting Core Web Vitals scores and user experience.

Reducing page weight and load times

Implementing next-gen image formats can dramatically reduce your page weight and improve load times. For a media-heavy page with 2MB of JPEGs, switching to WebP could reduce the image weight to 1.3MB, while AVIF could bring it down to under 1MB. This reduction in page weight can translate to 2-3 seconds faster load time on 3G connections.

To maximize these benefits:

  1. Implement lazy loading alongside next-gen formats so images only download when scrolled into view.
  2. Use responsive images to serve smaller versions to mobile devices.
  3. Preload critical above-the-fold images using `<link rel=”preload”>` to ensure fastest possible rendering of key content.

These strategies, combined with next-gen formats, can significantly improve your site’s performance and user experience[7].

Improving Core Web Vitals scores

Next-gen image formats directly impact Core Web Vitals metrics, particularly Largest Contentful Paint (LCP) and Cumulative Layout Shift (CLS). Converting to WebP or AVIF typically improves LCP scores by 20-30% through faster image loading and reduced file sizes.

For example, an e-commerce site’s product pages saw LCP improve from 4.2s to 2.8s after converting hero images to WebP. The smaller payloads also reduce layout shifts since images load more quickly, preventing content jumps that affect CLS scores.

To maximize Core Web Vitals benefits:

  1. Combine next-gen formats with responsive loading patterns.
  2. Serve smaller versions to mobile devices.
  3. Implement lazy loading for below-fold images.
  4. Preload critical LCP images.

These optimizations are particularly effective on image-heavy pages and mobile connections where bandwidth constraints typically cause poor Web Vitals scores[8].

Balancing image quality and file size

Finding the optimal balance between image quality and file size requires systematic testing and measurement. For photos, a WebP quality setting of 75-85 typically maintains visual fidelity while maximizing compression. AVIF achieves similar quality at 55-65 quality settings due to its superior compression algorithm.

Text-heavy images and logos need higher quality settings (85-95) to preserve sharp edges and readability. A practical approach is to generate multiple versions at different quality levels, then use automated visual comparison tools to identify the lowest quality setting before noticeable degradation occurs.

For e-commerce product images, maintain 90+ quality for primary product shots while using more aggressive compression (70-80) for thumbnails and gallery images. The quality-size trade-off also varies by image content – photographs with subtle gradients need higher quality settings than high-contrast graphics[9].

Overcoming Challenges in Next-Gen Format Adoption

Addressing browser compatibility and implementing fallback strategies ensures broad support for next-gen image formats across all user devices.

Browser compatibility considerations

Browser support varies between next-gen image formats, requiring careful implementation strategies. WebP maintains broad compatibility at 94% global browser support, including Chrome, Firefox, Safari 14+, and Edge. AVIF support is more limited at 77%, with Safari adding support only in version 16+ and some mobile browsers still lacking compatibility.

To handle these variations:

  1. Implement format detection through feature detection JavaScript or server-side User-Agent analysis.
  2. Consider mobile browser fragmentation, where Android WebView apps may use different rendering engines.
  3. Analyze regional browser usage patterns since developing markets often use older versions.

By addressing these compatibility issues, you ensure that all users benefit from optimized images, regardless of their browser or device[10].

Fallback strategies for older browsers

Implementing robust fallback strategies ensures images display properly across all browsers, including legacy versions. The most effective approach uses a cascade of format options through the picture element, as demonstrated earlier.

For JavaScript-based solutions, feature detection can determine optimal format delivery:

var canUseWebP = document.createElement('canvas').toDataURL('image/webp').indexOf('data:image/webp') === 0;

Server-side detection via Accept headers or User-Agent strings enables delivering appropriate formats before page render. For critical images where format support is uncertain, preload both next-gen and traditional versions:

<link rel="preload" as="image" href="image.webp" type="image/webp">
<link rel="preload" as="image" href="image.jpg" type="image/jpeg">

This progressive enhancement approach ensures basic functionality with JPEG/PNG while delivering optimized formats to modern browsers[11].

Handling dynamic image content

Dynamic image content, such as user uploads and programmatically generated graphics, requires specialized handling for next-gen format conversion. Set up automated processing pipelines that detect incoming image uploads and convert them to WebP/AVIF variants before storage.

For user-generated content, implement client-side compression and format conversion using libraries like browser-image-compression or Compressor.js before upload to reduce server load. When displaying dynamic content, generate responsive srcset attributes on-the-fly based on viewport sizes and CDN transformation parameters.

For real-time graphics and charts, use Canvas or SVG rendering with export functions that support WebP/AVIF output. Database-driven product images can use URL-based transformations through image CDNs, appending format and optimization parameters to base image URLs.

Cache converted variants to prevent redundant processing, but implement cache invalidation when source images update. This approach ensures that even dynamically generated content benefits from the performance advantages of next-gen formats[12].

Measuring the Impact of Next-Gen Image Formats

Utilizing tools like Lighthouse and conducting A/B tests provides concrete data on the performance improvements achieved through next-gen image formats.

Using Lighthouse to assess image optimization

Lighthouse, Google’s automated website auditing tool, specifically checks for next-gen image format opportunities in its Performance section. To assess image optimization:

  1. Open Chrome DevTools and run a Lighthouse audit focused on Performance.
  2. Examine the ‘Serve images in next-gen formats’ opportunity.
  3. Review potential byte savings from converting images, noting specific files that would benefit from WebP or AVIF conversion.

The audit considers both visible and background images, evaluating them against compression benchmarks. For accurate results, run audits in incognito mode to avoid extension interference and test both mobile and desktop configurations[13].

Tracking performance improvements with analytics

Analytics tools reveal the real-world impact of next-gen image formats on site performance. After implementing these formats, you can typically expect:

  • Page load times to decrease by 25-40% on average
  • Bounce rates to drop by 15-20% for image-heavy pages
  • Mobile session duration to increase as users encounter fewer loading delays

Set up custom events to monitor image load timing across formats, and segment data by browser type to identify format-specific performance patterns. Tools like WebPageTest provide detailed waterfall charts showing how image loading affects page render timing.

For e-commerce sites, correlate image optimization with conversion rates – faster-loading product images typically yield 5-8% higher conversion rates. Set up automated alerts for sudden changes in image load performance to quickly identify optimization issues[14].

A/B testing next-gen formats vs. traditional formats

A/B testing next-gen formats against traditional formats provides concrete data to justify format migration decisions. Set up split tests serving WebP/AVIF to one user group and JPEG/PNG to another, measuring key metrics like load time, bounce rate, and conversion impact.

Real-world A/B tests show WebP formats typically reduce load times by 25-35% and improve conversion rates by 3-7% compared to JPEG equivalents. For mobile users, the impact is often more pronounced with 40-50% faster image loading and 15-20% lower bounce rates.

Important test variables include:

  • Browser coverage (segment results by browser type)
  • Network conditions (test across different connection speeds)
  • Image types (separate tests for product photos versus UI elements)

Monitor server impact during testing – AVIF encoding may require additional CPU resources compared to JPEG processing. Document baseline metrics before testing and implement proper analytics tracking to measure user engagement differences between variants[15].

Key Takeaways
  1. Next-gen image formats like WebP and AVIF significantly reduce file sizes while maintaining or improving image quality.
  2. Implementing these formats can lead to faster page loads, improved SEO, and better user experience.
  3. Automation tools and plugins can streamline the process of converting and serving next-gen image formats.
  4. Proper implementation includes fallback strategies for older browsers to ensure compatibility.
  5. Measuring the impact through tools like Lighthouse and A/B testing can provide concrete data on performance improvements.

Ready to optimize your website’s images and boost your SEO performance? Get Started with Loud Interactive today and let our experts help you implement these cutting-edge techniques.

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