PixelPerfect AI

Image Compressor

Shrink file sizes without wrecking the picture

Pick a quality level, or tell us the exact file size you need — a binary-search compression pass finds the highest quality that still fits your target.

Drop your images here

Upload JPG, JPEG, PNG, WebP, AVIF, HEIC, or TIFF images.

Three one-click modes: Best Quality, Balanced, Smallest File
Target File Size mode (100 KB, 250 KB, 500 KB, 1 MB, or custom)
Real, measured savings — not a fixed compression ratio
Works across JPG, PNG, WebP, and AVIF

Most "compress image" tools apply one blunt setting to every file. PixelPerfect AI measures each image before deciding how hard to compress it — a photo with lots of detail can absorb more compression than a smooth gradient before artifacts become visible, so the two don't get treated the same way.

Need a specific size for an email attachment, a form upload limit, or a marketplace listing? Target File Size mode runs an iterative search over the quality setting until it lands as close as possible to your target without dropping quality further than necessary — it won't blindly keep compressing past the point of usability just to hit a number.

Upload one image or a whole folder. Each file in a batch is measured and compressed on its own terms, and you'll see exactly how many kilobytes (and what percentage) you saved on every single one.

Frequently asked questions

What's the difference between the three quality modes?

Best Quality keeps compression light so reductions are barely visible — good for hero images and portfolios. Balanced is the recommended default for most web use. Smallest File pushes compression further for situations where load time matters more than pixel-perfect detail, like thumbnails.

How does Target File Size work?

You give us a size — say 200 KB — and the compressor tests different quality levels (using a binary search, not a slow linear scan) until it finds the highest quality that fits within that budget.

Does compressing an already-optimized image make it worse?

We detect images that are already efficiently compressed and avoid recompressing them unnecessarily, since repeated lossy compression can compound quality loss for no size benefit.

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