Each image is decoded in the browser, drawn to a canvas, and exported as a new optimized file without any server upload.
Free Image Compressor
Compress images in your browser. Reduce file size while keeping quality. No upload, 100% private.
JPEG, PNG, WebP, GIF • Up to 20 images • 10MB each
Upload up to 20 images to see your compression queue.
How It Works
JPEG and WebP compression use the canvas toBlob() quality parameter, while PNG stays lossless for graphics and transparency.
Optional max width and height settings scale oversized images down before export to save even more space.
Your source images and compressed files stay on your device. No uploads, no cookies, no analytics, and no tracking.
Frequently Asked Questions
How does browser-based image compression work?
The tool loads your image into an HTML5 Canvas element, then re-exports it at a lower quality setting. This reduces file size while preserving visual quality. Everything happens locally in your browser.
Which format gives the smallest file size?
WebP typically offers the best compression, producing files 25-35% smaller than JPEG at similar quality. JPEG is a good all-around choice. PNG is lossless and best for graphics with sharp edges or transparency.
Will compressing reduce my image quality?
At quality 80-90%, the difference is nearly invisible to the human eye while file size drops significantly. You can use the before/after comparison slider to check the result before downloading.
What is the maximum file size I can compress?
The tool handles images up to 10MB each. You can compress up to 20 images at once. Very large images may take a few seconds to process.
Are my images uploaded to a server?
No. All compression happens entirely in your browser using the Canvas API. Your images never leave your device. There is no server processing, no storage, and no tracking.
What image formats are supported?
You can upload JPEG, PNG, WebP, and GIF images. You can also convert between formats during compression — for example, converting PNG to WebP for smaller file sizes.