IMAGE TOOLS

Image Compressor

Reduce image size with adjustable WebP quality and optional downscaling.

Processed locally. Your image is never uploaded.

Choose an image to begin.

Source
Selected source preview
Compressed
Compressed output preview

PRACTICAL GUIDE

How to use Image Compressor

Last reviewed

Compress a JPG, PNG or WebP image without uploading it. The tool can reduce oversized dimensions, encode a WebP copy and show the source and result together so file-size savings are not separated from visible quality.

When this tool helps

  • Reduce the transfer size of a website image
  • Prepare a smaller attachment without sharing the source with a service
  • Compare compression quality before replacing a published asset

How to use it

  1. Choose a JPG, PNG or WebP image up to 25 MB
  2. Set a maximum width and choose Smaller, Recommended or Sharper quality
  3. Compare the source and compressed preview and review the size difference
  4. Download the WebP copy only when the visual result is acceptable

Compressing a large website photograph

Input
A 2400 x 1600 JPG, maximum width 1600 and Recommended quality
Result
A proportionally resized WebP with its new dimensions and byte size shown

Reducing pixel dimensions before WebP encoding can save more bytes than changing quality alone. The exact result depends on detail, noise and the source encoding.

Limits and assumptions

  • Input files are limited to 25 MB and decoded images to 40 megapixels
  • Compression can make an already optimized image larger
  • WebP output may not preserve every source metadata field or color-profile detail

Frequently asked questions

Are images uploaded for compression?

No. The browser decodes, resizes and encodes the image locally on your device.

Which quality setting should I use?

Start with Recommended, inspect fine detail in the comparison, then move toward Smaller or Sharper for your specific image.

Why is the compressed image sometimes larger?

The source may already be highly optimized, or the selected dimensions and quality may require more bytes than the original encoding.