Image Compression

Compress Images Online

Drop one or more JPG, PNG or WebP files, pick a quality level and download noticeably lighter versions. You always see the original size, the new size and the percentage saved before deciding to keep the result.

All encoding runs locally through your browser's Canvas API, so nothing is uploaded and the tool keeps working even on a slow connection.

Drag images here

JPG, PNG or WebP · up to 20 files · processed inside your browser

How to use this tool

  1. 1Drag your images into the upload area, or use the file picker.
  2. 2Move the quality slider — lower values mean smaller files.
  3. 3Press Compress Images and review the size saved for each file.
  4. 4Download files one by one, or grab them all in a single ZIP.

What is image compression?

Compression rewrites the data inside an image file so it occupies fewer bytes. Some of that saving comes from describing repeated information more efficiently; the rest comes from throwing away detail the human eye is unlikely to notice. A 4 MB photograph straight from a phone camera commonly drops below 400 KB with no visible difference on a web page, because screens display it far smaller than its full resolution.

Lossy vs lossless compression

Lossy formats such as JPEG, WebP and AVIF permanently remove detail. The quality parameter controls how aggressive that removal is. Each re-save degrades the image further, which is why you should always compress from the original file rather than from an already-compressed copy.

Lossless formats such as PNG rebuild the exact original pixels. They are the right choice for screenshots with text, logos, line art and anything with sharp edges, but they are far heavier for photographs. WebP supports both modes, which is why converting a photographic PNG to WebP often produces the biggest saving of all.

When should I compress an image?

  • Before uploading photos to a website, blog post or online store.
  • When an email attachment is rejected for being too large.
  • When a page audit shows images dominating total transfer size — usually the single biggest cause of slow loading.
  • Before sharing a batch of photos where full print resolution is unnecessary.

Does compression reduce image quality?

At high quality settings the loss is measurable but not perceptible. Problems appear as blocky squares around sharp edges, colour banding in smooth gradients and halos around text. Those artifacts are cumulative, so keep an untouched master file and compress only the copies you publish.

Practical example

SourceTypical sizeAfter quality 75
12 MP phone photo (JPG)3.5–5 MB350–700 KB
1920px hero image (JPG)800 KB150–250 KB
Screenshot with text (PNG)500 KBLittle change — keep PNG

For even better results, resize the image to the largest size it will actually be displayed at using the image resizer before compressing it.

Frequently Asked Questions

Does compressing an image reduce its quality?

Lossy compression always discards some detail, but between roughly quality 70 and 85 the change is usually invisible at normal viewing size while the file gets much smaller. Compare the preview before and after downloading.

Are my images uploaded to a server?

No. Compression happens in your browser using the Canvas API, so the file data never leaves your device.

Why does my PNG barely shrink?

PNG uses lossless compression, so re-encoding rarely helps much. For photographs stored as PNG, this tool automatically offers the WebP version when it comes out smaller.

What quality value should I choose?

Start at 75. Photographs with lots of texture tolerate 60–70. Images with flat colour areas, text or logos show artifacts earlier, so stay above 85 or use PNG or WebP instead.

Can I compress several images at once?

Yes, up to 20 files per batch. Every file is processed with the same quality setting and can be downloaded individually or together as a ZIP archive.

Is there a file size limit?

Each file may be up to 25 MB. Very large images also need more memory in the browser tab, so extremely large panoramas may fail on low-memory devices.