ALLimageresizer

Instantly Optimize, Compress, and Convert

Tap to upload an image

Supported: JPEG, PNG, WebP, AVIF, GIF

Pro tip: Paste from clipboard with Ctrl+V

Understanding SVG Format

SVG (Scalable Vector Graphics) is a vector image format based on XML. Unlike raster formats like JPG or PNG, SVGs use mathematical equations to define shapes, allowing them to scale to any size without losing quality.

When to Use SVG Format

Perfect Scaling

Vector graphics that remain crisp at any resolution

Small File Sizes

Extremely efficient file sizes for simple graphics and icons

Interactive Potential

Can be animated and manipulated with CSS and JavaScript

Easily Editable

Edit with text editors or vector graphics software

SVG Compression Tips

  • Remove unnecessary attributes and whitespace
  • Simplify paths and shapes where possible
  • Avoid embedding raster images inside SVGs
  • Use compressed coordination notation for paths

Pro Tip

Pro Tip: For maximum SVG compression, simplify complex paths and avoid embedding raster images inside your SVG files.

Frequently Asked Questions

What is SVG optimization?

SVG optimization is the process of removing unnecessary code and data from SVG files to reduce their file size without affecting visual quality. This includes removing comments, whitespace, unnecessary attributes, and simplifying path data.

Why should I optimize my SVG files?

Optimizing SVGs reduces file size, which improves website loading speed. It also makes SVGs easier to work with in code, improves rendering performance, and can fix issues that may appear in some browsers.

Can SVG optimization break my images?

Properly implemented SVG optimization should not affect the visual appearance of your images. Our optimizer carefully preserves all visual elements while removing only the unnecessary code.

What's the difference between SVG and raster formats like PNG?

SVG is a vector format that uses mathematical equations to define shapes, while PNG is a raster format that uses pixels. SVGs can scale infinitely without losing quality, whereas raster images become pixelated when enlarged.