Runs locally in your browser

Image Compressor

Shrink image file size without wrecking quality. PNG, JPG, WebP supported.

Large images slow down websites and eat storage. Compression reduces file size while keeping visuals sharp. PNG suits graphics and screenshots. JPG works best for photos. WebP often gives smaller files with similar quality. Adjust quality and max width to balance size and clarity. Use for web uploads, email attachments, and social media.

PNG: lossless, best for graphics and screenshots — larger files. JPG: lossy, best for photos — smaller files, no transparency. WebP: often 25–35% smaller than JPG or PNG with similar quality. Quality 80–90% for web, 60–70% for thumbnails. Max width limits longest side (e.g. 1920px full HD). Output preserves input format. Use for web uploads, email attachments, social media. Compress before sending to reduce transfer time. Batch multiple images with consistent settings. Lower quality or width yields smaller files; adjust to balance size and clarity. For logos and graphics with sharp edges, prefer PNG. For photos and mixed content, JPG or WebP often works best.

How to Compress an Image

  1. Upload your imageDrag and drop or click to select. PNG, JPG, and WebP are supported.
  2. Adjust settingsSet quality (10–100%) and max width. Lower quality or width = smaller file.
  3. DownloadClick Compress, then Download. Original format is preserved.

FAQ

Is Pare Image Compressor free?

Yes. Free on this page, with limits noted per tool where they apply. No watermarks.

Does compression reduce image quality?

It can. Higher quality (e.g. 80–90%) keeps detail; lower values shrink more but may show artifacts. Adjust to your needs.

Are my images uploaded to a server?

No. All processing runs in your browser. Your files never leave your device.

What formats are supported?

PNG, JPG, and WebP. The output keeps the same format as the input.

What is max width for?

It limits the longest side in pixels. Useful for web and social — e.g. 1920px for full HD. Larger images are scaled down before compression.