Page Speed Analyzer
Analyze Core Web Vitals and performance with Google PageSpeed Insights.
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Powered by Google PageSpeed Insights API
Analyze Core Web Vitals and performance with Google PageSpeed Insights.
Enter a URL above to analyze page speed and Core Web Vitals
Powered by Google PageSpeed Insights API
Core Web Vitals are a set of real-world, user-centered metrics that Google uses to measure a page's loading performance, interactivity, and visual stability. They are part of Google's page experience signals and directly affect search rankings.
The three primary Core Web Vitals are Largest Contentful Paint (LCP), which measures how fast the main content loads; Interaction to Next Paint (INP), which measures responsiveness to user input; and Cumulative Layout Shift (CLS), which measures how much the page layout shifts during loading. Google considers a page to have good Core Web Vitals when LCP is under 2.5 seconds, INP is under 200 milliseconds, and CLS is below 0.1.
The performance score is a weighted average of several metrics calculated by Google Lighthouse. Scores range from 0 to 100, where 90 and above is considered good (green), 50 to 89 needs improvement (orange), and below 50 is poor (red).
The score is weighted across multiple metrics: Total Blocking Time (30%), Largest Contentful Paint (25%), Cumulative Layout Shift (25%), First Contentful Paint (10%), and Speed Index (10%). Because of this weighting, improvements to TBT and LCP have the biggest impact on your overall score. Small changes in individual metrics can cause noticeable shifts in the final score.
This tool lets you analyze performance for both mobile and desktop strategies. Mobile analysis simulates a mid-tier phone on a slow 4G connection, which is why mobile scores are typically lower than desktop scores. Desktop analysis simulates a standard desktop machine on a fast connection.
Google uses mobile-first indexing, which means the mobile version of your site is what Google primarily uses for ranking. If your mobile performance score is significantly lower than desktop, focus on mobile optimizations first. Common mobile-specific issues include uncompressed images, render-blocking resources, and JavaScript that takes too long to execute on slower processors.
Page speed has a direct impact on search rankings, user engagement, and conversion rates. Google has confirmed that page experience signals, including Core Web Vitals, are ranking factors. Pages that load slowly tend to have higher bounce rates and lower time on page, which can further hurt rankings.
Studies show that a 1-second delay in page load time can reduce conversions by 7%. For e-commerce sites, 53% of mobile visitors abandon pages that take longer than 3 seconds to load. Improving page speed is one of the highest-impact SEO optimizations you can make because it affects both rankings and user behavior simultaneously.
This tool uses Google's PageSpeed Insights API to analyze any web page's performance. It returns a performance score out of 100, Core Web Vitals metrics (LCP, TBT, CLS, FCP, Speed Index, TTI), optimization opportunities with estimated time savings, and diagnostic information. You can test both mobile and desktop performance.
Mobile analysis simulates a mid-tier mobile device on a throttled 4G connection, while desktop simulates a powerful machine on a fast connection. This means mobile tests have slower CPU processing and network speeds, which exposes performance issues that are not visible on desktop. Since Google uses mobile-first indexing, your mobile score is the one that matters most for SEO.
Check page speed after any significant changes to your site, such as adding new features, updating plugins, changing hosting, or modifying images and scripts. For ongoing monitoring, checking monthly is a good practice. Keep in mind that scores can vary slightly between tests due to server load and network conditions, so run multiple tests if a score seems unusually low.
Total Blocking Time (TBT) and Largest Contentful Paint (LCP) carry the most weight in the performance score, at 30% and 25% respectively. To improve TBT, reduce JavaScript execution time by splitting code, deferring non-critical scripts, and removing unused JavaScript. To improve LCP, optimize images, use a CDN, preload critical resources, and reduce server response times.
Yes, this tool is completely free. It uses Google's PageSpeed Insights API, which provides performance data for any publicly accessible URL. The analysis runs server-side to handle the API call, and there are no usage limits beyond standard rate limiting to ensure the service stays fast for everyone.