Page Speed Checker

A page speed test measures how fast your website loads and how well it performs for users. Our tool uses the official Google PageSpeed Insights API to analyze your pages against the same criteria Google uses for search ranking. You get a comprehensive performance score from 0 to 100, along with detailed Core Web Vitals metrics and actionable optimization recommendations.

Google has confirmed that page speed is a ranking factor. Since 2021, Core Web Vitals are part of the Page Experience signal used in search ranking. Slow websites not only rank lower but also suffer from higher bounce rates — studies show that 53% of mobile users leave a page that takes more than 3 seconds to load. Testing and optimizing your page speed is essential for both SEO and user experience.

LCP (Largest Contentful Paint) measures how quickly the main content loads. Good: under 2.5s.
INP (Interaction to Next Paint) measures responsiveness to user input. Good: under 200ms.
CLS (Cumulative Layout Shift) measures visual stability. Good: under 0.1.
These three metrics together define the core user experience of your webpage.

Enter any URL and click "Analyze" to get a full performance report. Toggle between Mobile and Desktop to see how your site performs on different devices. Review the optimization opportunities to find quick wins. Export a PDF report to share with your team. Use the comparison feature to benchmark against competitors.

Common optimizations include: compressing and properly sizing images, enabling browser caching, minimizing render-blocking JavaScript and CSS, using a Content Delivery Network (CDN), implementing lazy loading for images and videos, reducing server response time (TTFB), and removing unused code. Focus on the opportunities with the largest estimated savings first.

Field Data comes from real Chrome users who visit your site (CrUX report). It shows how actual visitors experience your page. Lab Data is collected in a controlled environment with a simulated device and network. Lab data is reproducible and great for debugging, while field data represents real-world performance. Both are valuable for optimization.