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Check Core Web Vitals metrics (LCP, FID, CLS) for websites. Analyze page performance, measure loading speed, interactivity, and visual stability. Provides recommendations for improving web vitals scores and user experience.
Note: AI can make mistakes, so please double-check it.
Learn what this tool does, when to use it, and how it fits into your workflow.
Web Vitals Checker measures how fast and responsive your website is. You enter a website URL. The tool checks three important metrics. It shows scores and suggests improvements. It helps you make websites faster and better.
Slow websites frustrate users. They leave quickly. They do not buy things. They do not return. Search engines rank slow sites lower. This hurts business and visibility.
This tool solves these problems. It measures website performance automatically. It identifies what slows sites down. It suggests specific fixes. It helps improve user experience and search rankings.
This tool is for website owners who want better performance. It is for developers optimizing sites. It is for SEO specialists improving rankings. You need basic website knowledge. You do not need advanced skills.
Web vitals measure real user experience. They track how websites feel to users. Google uses them to rank websites. Good vitals mean better rankings and happier users.
Largest Contentful Paint measures loading speed. It tracks when the main content appears. Fast loading means users see content quickly. Slow loading frustrates users. The target is under 2.5 seconds.
Cumulative Layout Shift measures visual stability. It tracks if content jumps around while loading. Stable pages feel professional. Shifting content confuses users. The target is under 0.1.
Interaction to Next Paint measures responsiveness. It tracks how quickly pages respond to clicks. Fast responses feel smooth. Slow responses feel broken. The target is under 200 milliseconds.
People struggle to measure performance manually. They do not know what to check. They cannot measure real user experience. They do not understand which metrics matter. They do not know how to fix problems.
Performance problems hide in many places. Large images slow loading. JavaScript blocks rendering. Missing dimensions cause layout shifts. Heavy scripts delay interactions. Finding these problems takes expertise.
This tool automates performance checking. You enter a URL. The tool measures all three vitals. It calculates an overall score. It identifies specific problems. It suggests fixes with impact ratings.
Website owners check their site performance. They enter their website URL. They see current vitals scores. They review fix recommendations. They improve their site speed.
Developers optimize websites before launch. They check performance during development. They fix problems early. They ensure good user experience. They meet performance goals.
SEO specialists improve search rankings. They check client websites. They identify performance issues. They implement fixes. They improve Google rankings.
E-commerce managers reduce bounce rates. They check product pages. They improve loading speed. They fix layout shifts. They increase conversions.
Marketing teams verify campaign landing pages. They check page performance. They ensure fast loading. They optimize for mobile. They improve campaign results.
Web agencies audit client sites. They check multiple pages. They identify common problems. They provide improvement reports. They help clients succeed.
LCP calculation measures loading time. The tool identifies the largest content element. It measures when it becomes visible. Values under 2.5 seconds are good. Values over 4.0 seconds are poor.
CLS calculation measures layout stability. The tool tracks content position changes. It calculates shift scores. Values under 0.1 are good. Values over 0.25 are poor.
INP calculation measures interaction response. The tool tracks click and keyboard response times. It measures delay to next paint. Values under 200 milliseconds are good. Values over 500 milliseconds are poor.
Overall score calculation combines all metrics. It subtracts penalties for poor metrics. LCP contributes up to 40 points. CLS contributes up to 15 points. INP contributes up to 25 points. The score ranges from 0 to 100.
Status determination uses threshold values. Each metric has good and poor thresholds. Values below good threshold get good status. Values between thresholds get needs improvement status. Values above poor threshold get poor status.
Fix generation analyzes metric statuses. Poor metrics get high impact fixes. Needs improvement metrics get medium impact fixes. Good metrics may get maintenance suggestions. Fixes target specific problems.
Impact level assignment considers improvement potential. Large improvements get high impact. Moderate improvements get medium impact. Small improvements get low impact. Impact guides prioritization.
Estimated gain calculation predicts improvements. It estimates time reductions for LCP. It estimates score reductions for CLS. It estimates time reductions for INP. Gains help understand fix value.
Device-specific analysis adjusts calculations. Mobile devices typically perform worse. The tool accounts for mobile limitations. Desktop analysis uses different thresholds. This provides accurate results.
Fix prioritization sorts by impact. High impact fixes appear first. Medium impact fixes follow. Low impact fixes appear last. This helps focus efforts.
AI suggestion generation analyzes fix context. It considers the specific problem. It provides optimized code. It explains technical changes. It gives actionable steps.
Test both mobile and desktop. Performance differs between devices. Mobile usually performs worse. Check both to understand full picture.
Focus on high impact fixes first. These improve scores most. They provide best return on effort. Address them before lower impact fixes.
Use AI suggestions for complex fixes. They provide detailed guidance. They show code examples. They explain technical changes clearly.
Check multiple pages. Different pages perform differently. Home pages may differ from product pages. Check important pages specifically.
Review affected elements carefully. Fixes identify specific problems. Use selectors to locate elements. Make targeted improvements.
Monitor scores over time. Check performance regularly. Track improvements after fixes. Ensure changes help.
Understand metric meanings. LCP measures loading speed. CLS measures visual stability. INP measures responsiveness. Understanding helps prioritize.
Set performance goals. Aim for good status on all metrics. Use scores to track progress. Work toward 90+ overall score.
The tool provides simulated analysis. Results are based on URL patterns. They demonstrate how the tool works. Use real performance tools for production analysis.
AI suggestions require backend service. They may be unavailable sometimes. If suggestions fail, use fix descriptions. Apply fixes manually.
URL validation ensures correct format. Invalid URLs show error messages. Fix URLs before analyzing. Ensure websites are accessible.
Local storage saves settings. Your URL and device choice persist. Clear browser data to reset. Use reset if needed.
Sample URLs help learning. Use them to understand the tool. Study how metrics work. Learn to interpret results.
Fix recommendations are suggestions only. Review them carefully. Consider your specific situation. Adapt fixes to your needs.
Summary: Check Core Web Vitals metrics (LCP, FID, CLS) for websites. Analyze page performance, measure loading speed, interactivity, and visual stability. Provides recommendations for improving web vitals scores and user experience.
Enter a URL to start the audit
Common questions about this tool
Enter your website URL, and the checker analyzes Core Web Vitals metrics: LCP (Largest Contentful Paint), FID (First Input Delay), CLS (Cumulative Layout Shift). It provides scores, recommendations, and optimization suggestions.
Core Web Vitals are Google's metrics for page experience: LCP measures loading performance (should be under 2.5s), FID measures interactivity (under 100ms), CLS measures visual stability (under 0.1). These affect SEO rankings.
Web Vitals are Google ranking factors and directly impact user experience. Good scores improve SEO, reduce bounce rates, increase conversions, and provide better user experience. They're part of Google's Page Experience update.
Yes, you can check multiple URLs or run checks across your website. The checker provides page-by-page analysis and aggregate scores to help you identify performance issues across your site.
The checker provides specific recommendations for improving each metric: optimizing images for LCP, reducing JavaScript execution time for FID, preventing layout shifts for CLS, and overall performance optimization strategies.
Stay tuned for helpful articles, tutorials, and guides about this tool. We regularly publish content covering best practices, tips, and advanced techniques to help you get the most out of our tools.