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To improve image performance, first find the image affecting the page’s Largest Contentful Paint (LCP), then make it discoverable early, serve a candidate sized for its rendered layout, and compress it without visible damage. Defer images below the fold, but do not lazy-load the likely LCP image. Finally, measure the LCP breakdown and real-user results: smaller image files help only when image delivery is the part slowing the page.
1. Find the image and delay that matter
Start with the page’s likely LCP element—the largest visible content element in the viewport. It may be an image, but image bytes are only one part of LCP. The request can start late because the browser discovers the image late; the download can take a long time; or the image can finish downloading while rendering is held up by CSS, JavaScript, or main-thread work.
In Chrome DevTools, inspect the page load and the LCP element, then check the image request’s start time, duration, and priority. The web.dev LCP guidance separates LCP into time to first byte, resource load delay, resource load duration, and element render delay. Use that breakdown to choose a fix: compression addresses download duration, while early discovery and priority address load delay.
Make the critical image discoverable early
If the LCP image is an <img>, put its src or srcset in the initial HTML rather than waiting for JavaScript to insert it. If it is likely to be the LCP element, fetchpriority="high" can signal its importance. Apply high priority selectively: marking many images high priority undermines the distinction.
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2. Serve the right dimensions for the layout
Choose image candidates according to the rendered CSS size and device pixel ratio (DPR), not the dimensions of the largest source file you have. A 500-by-500-pixel display box does not automatically require a 1000-by-1000-pixel asset; a high-density screen may, however, need more intrinsic pixels for a crisp result. Responsive candidates let the browser choose based on the display size and device.
Use srcset with sizes
Width descriptors in srcset identify the intrinsic width of each available candidate. sizes tells the browser how wide the image is expected to render under the layout conditions. Pair them so the browser can select an appropriate file:
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<img
src="/images/article-800.jpg"
srcset="/images/article-400.jpg 400w,
/images/article-800.jpg 800w,
/images/article-1200.jpg 1200w"
sizes="(max-width: 600px) 100vw, 800px"
width="800"
height="600"
alt="A chef preparing vegetables">Here, the image is expected to span the viewport at widths up to 600 CSS pixels and to render at 800 CSS pixels above that. Adjust the expression to match your actual layout. If sizes overstates the displayed width, the browser may download a larger candidate than needed. If it understates it, the selected image may look soft, especially on a high-DPR screen. Offer sensible widths that cover real layout needs; an unbounded set of variants adds HTML, cache entries, and generation or delivery work without guaranteeing a meaningful improvement.
3. Choose a format and compression level by image content
WebP and AVIF can produce smaller files than older formats, but the result depends on the image, quality target, and browser support. Compare the actual outputs at the quality level you intend to ship. Inspect fine details, edges, and any text rather than choosing a format from its name alone.
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Offer modern formats with a fallback
The <picture> element lets the browser choose the first supported source and fall back to a broadly compatible format such as JPEG:
<picture>
<source type="image/avif" srcset="/images/scene.avif">
<source type="image/webp" srcset="/images/scene.webp">
<img src="/images/scene.jpg" width="1200" height="800"
alt="Mountain landscape at dusk">
</picture>WebP supports lossy and lossless compression and transparency; AVIF supports both lossy and lossless compression as well. Support varies, so keep a fallback and consult current browser-support data for the audiences and browsers you serve. The referenced web.dev guide characterizes WebP as widely supported and AVIF as having reasonable support, but does not provide a current browser-version matrix.
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Match compression to the visual material
- Detailed photographs: lossy compression can often reduce bytes with artifacts that are less noticeable. Inspect the result at normal display size and at any crop or zoom users can access.
- Text, line art, and sharp edges: lossy compression may create visible artifacts; high-contrast colored text on flat backgrounds can be particularly sensitive to chroma subsampling. Compare carefully or choose lossless encoding where preserving exact detail matters.
- Transparency or graphics: check that the selected format preserves the required transparency and edge quality.
There is no universal quality setting that works for every image. The web.dev guide cites tests attributed to Netflix in which AVIF savings exceeded 50% compared with JPEG in some cases; that is a conditional example, not a general expected saving or a result guaranteed for your assets. Tools such as Squoosh and ImageOptim, image optimization services, or image CDNs can help create and deliver variants; choose based on your workflow and test the files your site actually serves.
4. Defer images that are below the fold
Native lazy loading can postpone downloads for images that are not initially visible, leaving bandwidth available for content users can see. Add loading="lazy" to below-the-fold images:
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<img src="/images/related-story.jpg" loading="eager"
width="800" height="533" alt="Related story illustration">Do not apply lazy loading to the likely LCP image. Deferring its request can delay the most important visible content. For that image, keep its source available in the initial HTML and consider fetchpriority="high" if it is genuinely the page’s critical image. Avoid giving that hint broadly to a gallery or every image on the page.
5. Measure the change instead of judging by file size
After changing dimensions, formats, compression, or loading behavior, test again. Compare the LCP element and its timing breakdown, check request priority in DevTools, and use both lab tests and field data. A smaller file is a useful intermediate result, not proof that users see the page sooner: the image may still be discovered late or held from rendering.
Google’s archived Web Vitals guidance recommends an LCP threshold of 2.5 seconds and evaluating the 75th percentile separately for mobile and desktop. Treat that as LCP-specific guidance from the archived page, not as a complete current description of Core Web Vitals; consult current metric definitions when reporting the full set. Lab runs help isolate regressions, while field data shows how the page performs for real users across conditions.
6. Troubleshoot common image-performance problems
- The LCP request starts late: check whether the image is inserted or assigned by JavaScript, or hidden behind a CSS background that the browser discovers later. For an LCP
<img>, expose its source in initial HTML and check request priority. - The file is large despite using a modern format: compare the actual dimensions with the rendered size and inspect the selected
srcsetcandidate. Correct an oversized candidate or a mismatchedsizesvalue, then retest quality. - The image looks blurry on some devices: verify that candidates include sufficient intrinsic width for the rendered CSS size and DPR, and ensure
sizesdoes not cause the browser to choose too small a candidate. - Text or edges look damaged: test a higher quality setting or lossless output for that asset. Photo-oriented lossy settings may be unsuitable for flat graphics and crisp text.
- The page’s LCP barely changes after compression: compare resource load duration with resource load delay and element render delay. If download duration was not the dominant segment, investigate late discovery, render-blocking styles or scripts, and long main-thread work.
- Visible content appears late after adding lazy loading: remove lazy loading from the likely LCP image and other initially visible images; reserve it for content farther down the page.
Or skip the browser setup
For a repeatable screenshot of a page while checking its visual result, you can use ScreenshotNeo, a website screenshot API and MCP server for developers. One GET request returns an image or PDF; the API supports PNG, JPEG, or WebP output. Example using cURL:
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