Top 7 Free Tools for Compressing Images Online

Published by ImageCompressor | Updated 2025

If you want to speed up your website, reduce bandwidth costs, and improve UX, compressing your images is essential. But where do you start? Here are 7 of the best free tools to compress your images directly in the browser — no software download required.

1. TinyPNG

URL: https://tinypng.com

Pros: Simple UI, supports both PNG and JPEG, great balance between size and quality.

Cons: Max 20 images at once, file size limit (5MB).

2. Squoosh

URL: https://squoosh.app

Pros: Advanced settings, supports WebP/AVIF, real-time preview.

Cons: Compresses one image at a time.

3. ImageCompressor (this site)

URL: /

Pros: Secure client-side compression, batch support, download ZIP.

Cons: Limited to JPEG, PNG, WebP for now.

4. Compressor.io

URL: https://compressor.io

Pros: Supports multiple formats, good for both lossy and lossless.

Cons: No bulk upload feature in free version.

5. Optimizilla

URL: https://imagecompressor.com

Pros: Quality slider per image, batch upload, preview feature.

Cons: Interface is a bit outdated.

6. Kraken.io (Web Interface)

URL: https://kraken.io/web-interface

Pros: Fast bulk compression, multiple modes (lossy/lossless).

Cons: More features available only in Pro plan.

7. ILoveIMG

URL: https://www.iloveimg.com/compress-image

Pros: Batch compression, drag-and-drop UI, PDF tools included.

Cons: Compression control is limited.

Comparison Table

ToolFormatsBulk SupportPreviewBest For
TinyPNGJPEG, PNGYes (20 max)NoQuick batch work
SquooshManyNoYesCustom control
ImageCompressorJPEG, PNG, WebPYesYesFast & secure
Compressor.ioJPEG, PNG, SVG, GIFLimitedNoOne-offs
OptimizillaJPEG, PNGYesYesManual fine-tuning
Kraken.ioJPEG, PNG, GIF, SVGYesLimitedPerformance
ILoveIMGJPEG, PNGYesNoQuick online use

Conclusion

Whether you need fine-tuned compression (Squoosh), fast batch downloads (ImageCompressor), or something in between, these free tools offer everything you need to keep your images sharp and fast-loading. Try a few and see what fits your workflow best.

Next: Lossless vs. Lossy Image Compression →