Image Compressor

Lossy compression works by discarding the parts of an image your eyes notice least. Fine color variations in busy areas, subtle gradients, and high-frequency detail can be simplified dramatically before anyone sees a difference, and that simplification is where the file size savings come from.

The quality setting from 1 to 100 controls how aggressive that discarding is. It is not a percentage of pixels kept, every pixel stays, it is a knob on how much detail the encoder is allowed to throw away. At 80, photos typically shrink to a fraction of their size while looking untouched in normal viewing. Below about 50, smooth areas start to band and edges grow halos. Above 90, files balloon quickly for gains you will struggle to see.

Photos tolerate compression well because they are full of natural texture that hides the simplification. Sharp-edged graphics, screenshots, and text suffer sooner, artifacts cluster exactly at hard edges. For those, keep the quality high or stick with lossless formats.

WebP is the newer codec and simply predicts image content better, so it reaches the same visual quality at a noticeably smaller size than JPEG, often 25% to 35% smaller. It also keeps transparency, where JPEG flattens transparent areas to white. Every modern browser and most current apps open WebP without complaint, which makes it the sensible default here.

JPEG still earns its place through universality. Decades-old software, embedded systems, office tools, and picky upload forms all accept JPEG without question. When the file is headed somewhere unknown or old, JPEG is the safe handoff.

One habit to avoid: recompressing an already compressed file again and again. Each lossy pass discards a little more, and the artifacts stack up across generations. Keep an original, compress copies from it, and choose the quality once rather than iterating downward.

Compression and resizing shrink files through different doors. Compression keeps every pixel and stores them more cleverly, the dimensions do not change. Resizing removes pixels outright, a 4,000 pixel wide photo scaled to 2,000 has a quarter of the pixels before any encoding tricks apply.

For a photo that is both larger in dimensions than needed and too heavy in bytes, resizing first is the bigger lever. Shrink it to the size it will actually be viewed at with the Image Resizer, then compress the result here, the combination routinely beats either step alone by a wide margin.

The result panel shows the original size, the new size, and the savings percentage, so the effect of each quality choice is visible immediately. If a file ever comes out larger than the original, the source was already compressed harder than your chosen quality, use a lower setting or keep the original. And if you need the opposite direction entirely, more pixels rather than fewer bytes, that is the job of the AI Image Upscaler.

This compressor runs on your device using the browser's own encoders. No image is uploaded, which means no file size caps imposed by a server, no queue when a batch of photos needs shrinking one after another, and no privacy trade for convenience.

That architecture is also why there is no watermark and no account. Compression services meter their output because processing costs them money per image, here the cost is a fraction of a second of your own processor time.

Practical scenarios where this earns its keep: email attachments bumping against a mailbox limit, upload forms that reject anything over a few megabytes, web pages that need lighter images to load fast, and phone photo folders that grew into gigabytes. In each case, a quality of 75 to 85 as WebP is a strong first attempt.