How to building an svg compression strategy for maximum web performance
- Step 1Baseline measurement — Measure current SVG total payload using the Network tab in Chrome DevTools (filter by SVG and check the Size column for transferred bytes). Note the baseline.
- Step 2Apply content optimisations — Run all SVGs through: (1) Metadata Scrubber, (2) Precision Tuner at 1 decimal place, (3) SVG Minifier. Re-measure. Typical improvement: 50–70%.
- Step 3Enable transport compression — Enable brotli on your CDN or web server for image/svg+xml. Re-measure transfer size. Combined with content optimisation, you should see 85–95% total reduction.
Frequently asked questions
Which optimisation layer gives the biggest single improvement?+
For most Figma/Illustrator exports, metadata scrubbing + minification gives the largest single improvement (40–65%). Transport compression (brotli) adds another 70–80% on top of the already-reduced file.
Should I inline SVGs in HTML or serve them as external files?+
Inline SVGs avoid extra HTTP requests but inflate HTML payload and can't be cached independently. External SVGs cached by the CDN win for frequently-used icons. Inline for above-the-fold critical icons only.
Does lazy-loading SVGs help?+
Yes, for images using <img src='icon.svg'>. Add loading='lazy' to defer off-screen SVGs. For inline SVGs in HTML, consider dynamic import() or Intersection Observer to delay rendering.
What are the Lighthouse targets for SVG assets?+
There's no SVG-specific Lighthouse metric, but SVG sizes affect 'Reduce unused bytes' and 'Efficiently encode images' diagnostics. Aim for each individual SVG under 5 KB gzip.
Privacy first
Every JAD SVG tool runs entirely in your browser using the DOM API and Canvas. Your SVG files never leave your device — verified by zero outbound network requests during processing.