Developer Toolbox

Online Image Compressor

Efficiently compress JPG, PNG, and WebP images. All processing is done locally in your browser.

Local Processing, Secure & Private
Your images are never uploaded to any server. All compression algorithms (including PNG engine) run in your browser.

1. Upload Image

Click or drag file here
Supports JPG, PNG, WebP. Max file size 10 MB

How to use Online Image Compressor?

  • 1Click on the upload area to select an image (supports JPG, PNG, WebP).
  • 2Adjust the 'Compression Quality' slider. Lower values mean smaller size but also lower image quality.
  • 3For PNG images, reducing quality will trigger the color quantization algorithm, achieving very high compression ratios.
  • 4Click 'Compress' (or adjust the slider to auto-recalculate) and then click 'Download' to save the result.

Image Compression FAQ

Will my images be uploaded?

No. All compression is performed locally in your browser. Your data never leaves your device.

What's the difference between JPG and PNG compression?

JPG is lossy (optimized for photos); PNG is usually lossless but can be compressed via color reduction (quantization) for web use.

Why is the file size sometimes larger after compression?

If the original image is already highly optimized or uses a very efficient encoder, applying standard compression might slightly increase metadata or re-encode with less efficiency.

Common Use Cases

  • Web Performance: Reduce image sizes to speed up website loading and improve SEO rankings.
  • Email Attachments: Compress high-res photos to fit within email provider attachment limits.
  • Storage Optimization: Save disk space on your phone or cloud storage by minifying bulky image files.
  • Social Media: Prepare images for platforms with strict file size caps without sacrificing too much quality.

Technical Principle

Standard mode processes JPG and WebP formats using the native Canvas API, while PNG is handled by the high-performance UPNG.js engine. It supports TinyPNG-like optimization algorithms to significantly reduce file size while maintaining excellent visual quality, all processed locally.