GZIP Compression Tester
Test if your website uses compression for faster loading. Check GZIP, Brotli, and other compression algorithms.
Testing Compression...
Analyzing GZIP, Brotli, and other compression methods.
| File | Type | Original Size | Compressed Size | Savings | Algorithm | Status |
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| File | Type | Size | Potential Savings | Priority | Action |
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| File | Type | Original Size | Compressed Size | Savings | Impact |
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Compression Visualization
Optimization Recommendations
Why GZIP Compression is Critical for Website Performance
GZIP compression reduces file sizes by 70-90% for text-based content, making websites load significantly faster. According to Google, pages that load within 2 seconds have an average bounce rate of 9%, while pages taking 5 seconds have a bounce rate of 38%.
Compression directly impacts Core Web Vitals, particularly Largest Contentful Paint (LCP) and First Contentful Paint (FCP). Google has confirmed that page speed is a ranking factor, and compressed resources contribute to better search engine visibility.
Understanding Compression Algorithms
1. GZIP (GNU Zip) - The Standard
Compression Ratio: 70-90% for text files, 30-50% for already compressed files (images, PDFs)
Browser Support: 99.5% of browsers (all modern browsers since 2000)
Best For: HTML, CSS, JavaScript, JSON, XML, SVG, fonts
Not For: Already compressed files (JPEG, PNG, MP4, PDF, ZIP)
2. Brotli - The Modern Alternative
Compression Ratio: 20-26% better than GZIP for text files
Browser Support: 96% of browsers (Chrome, Firefox, Edge, Opera, Safari 11+)
Best For: Static content with pre-compression, HTTPS sites
Unique Feature: Better compression for UTF-8 text, dictionary-based approach
3. Deflate - Legacy Algorithm
Compression Ratio: Similar to GZIP but with implementation issues
Browser Support: Universal but problematic
Recommendation: Avoid - use GZIP instead
Compression Impact by File Type
| File Type | Average Size | Compressed Size | Savings | Priority |
|---|---|---|---|---|
| HTML | 50KB | 10KB | 80% | Critical |
| CSS | 100KB | 20KB | 80% | Critical |
| JavaScript | 200KB | 40KB | 80% | Critical |
| JSON/XML | 30KB | 6KB | 80% | High |
| SVG | 15KB | 3KB | 80% | Medium |
| Fonts (TTF/WOFF) | 150KB | 60KB | 60% | Medium |
| Images (JPEG/PNG) | 100KB | 98KB | 2% | Low |
How Compression Affects Core Web Vitals
1. Largest Contentful Paint (LCP)
Impact: High - Compressed resources load faster, reducing LCP time
Goal: Under 2.5 seconds
How Compression Helps: Reduces transfer time for critical resources (HTML, CSS, render-blocking JS)
2. First Input Delay (FID)
Impact: Medium - Smaller JavaScript files parse and execute faster
Goal: Under 100 milliseconds
How Compression Helps: Reduces JavaScript bundle size, improving parse/compile time
3. Cumulative Layout Shift (CLS)
Impact: Indirect - Faster loading fonts and CSS reduce layout shifts
Goal: Under 0.1
How Compression Helps: Fonts and CSS load faster, preventing FOIT/FOUT
Common Compression Mistakes and Solutions
1. Double Compression
Problem: Compressing already compressed files (JPEG, PNG, PDF)
Symptoms: CPU waste, minimal size reduction, potential corruption
Solution: Configure server to only compress text-based files
2. Missing Vary: Accept-Encoding Header
Problem: CDN/proxy serves compressed content to non-supporting browsers
Symptoms: Broken rendering in older browsers
Solution: Always include Vary: Accept-Encoding header
3. Wrong Compression Level
Problem: Level 9 (maximum) causes high CPU usage with minimal benefit
Symptoms: Slow server response, high CPU load
Solution: Use level 6 for dynamic content, level 9 for static pre-compressed
4. No Brotli for Static Content
Problem: Missing 20-26% additional compression from Brotli
Symptoms: Larger file sizes than necessary
Solution: Pre-compress static files with Brotli during build process
Advanced Compression Techniques
1. Pre-compressed Static Files
Generate compressed versions during build:
2. Dictionary Compression for Brotli
Create custom dictionary for your specific content patterns:
3. Adaptive Compression Based on Network
Serve different compression based on connection type:
Compression Benchmarks
Real-world performance improvements from compression:
100ms faster load = 1% revenue increase
500ms delay = 20% traffic drop
1s faster = 2% conversion increase
1s slower = 10% users leave
Frequently Asked Questions (FAQ)
Does GZIP compression affect SEO rankings?
Yes, indirectly but significantly. Google considers page speed as a ranking factor, and compression improves loading times. Faster pages have lower bounce rates, higher engagement, and better Core Web Vitals scores - all of which affect SEO. Google's own PageSpeed Insights tool specifically checks for compression.
Should I compress images with GZIP?
No, images (JPEG, PNG, WebP) are already compressed using specialized algorithms. GZIP compression on images typically yields less than 5% size reduction while using significant CPU resources. Instead, optimize images by:
- Using modern formats (WebP, AVIF)
- Proper compression settings (quality 75-85 for JPEG)
- Responsive images with srcset
- Lazy loading below the fold
What's the optimal GZIP compression level?
For dynamic content (HTML, API responses): Level 4-6 provides good balance between compression and CPU usage. For static content (CSS, JS, fonts): Level 9 (maximum) for pre-compressed files. Higher levels provide diminishing returns: Level 6 is about 90% as effective as level 9 but uses significantly less CPU.
How do I test if compression is working?
Multiple methods:
- Use this GZIP Compression Tester tool
- Browser Developer Tools → Network tab → check "Content-Encoding" header
- Command line:
curl -H "Accept-Encoding: gzip" -I https://example.com - Online validators: GIDZipTest, CheckGZIP.com
- Google PageSpeed Insights or Lighthouse audits