How to Compress Images: Complete Guide

Updated June 2026 · 5 min read

Images make up over 60% of the average web page. Compressing them is the single most impactful thing you can do for page speed, SEO rankings, and user experience. This guide covers everything — from choosing the right format to using the right tools.

Step 1: Choose the Right Format

Format choice alone can cut file size by 50-80%:

Photos: JPG at 85% quality — 5-10x smaller than PNG with identical visual quality for photographs
Graphics, logos, screenshots: PNG — lossless compression preserves sharp edges and text
Best of both worlds: WebP — 25-35% smaller than JPG at equivalent quality, supports transparency like PNG
Maximum compression: AVIF — up to 50% smaller than WebP, supported in Chrome and Firefox

Quick tip: If you have a PNG photo, converting it to JPG or WebP can reduce the file size by 80-95% with no visible quality difference. Photos should almost never be PNG.

Step 2: Resize First, Compress Second

A 4000×3000 photo displayed at 800×600 is wasting 95% of its pixels. Always resize to the actual display size before compressing. Every pixel you eliminate is a pixel you don't have to store.

Step 3: Use Lossy Compression for the Web

Lossy compression discards some data to achieve dramatic file size reductions. At 80-90% quality settings, the difference is invisible to the human eye while reducing file size by 50-85%.

Step 4: Compress with Our Free Tool

Go to compress2png.com
Drag and drop your images — up to 50 files, no size limits
Select your output format — JPG for smallest files, WebP for best quality-to-size ratio
Adjust the quality slider — 80% is the sweet spot for most images
Click Compress and download — all processing happens in your browser, nothing is uploaded

When to Use Lossless vs Lossy

Use lossless (PNG): Screenshots, logos, text-heavy images, images that will be edited repeatedly, archival copies.
Use lossy (JPG, WebP, AVIF): Photographs, web images, email attachments, social media — anything where file size matters more than pixel-perfect accuracy.