Upload your photo
Add a JPG, PNG, or WebP. The larger and less compressed the source file, the more reduction the compressor can achieve.
AI Image Compressor
Upload a large photo and the AI reduces the file size while preserving visual quality — smaller files, same sharp image, ready to upload anywhere.


Examples
Portraits, landscapes, and product shots — drag each slider to compare the original and compressed version. Smaller file, same visual quality.






Why it still looks sharp
Aggressive compression applied equally to every pixel blurs edges and destroys fine detail. Perceptual compression works differently — it identifies where the human eye is sensitive (edges, text, fine texture) and where it is not (flat sky, smooth gradients, plain backgrounds), then applies reduction only where it will not be noticed. The result is a file that is significantly smaller but looks identical at normal viewing distance.
Perceptual compression targets areas where quality reduction is invisible to the eye — flat backgrounds and smooth gradients — while keeping edges, text, and fine detail sharp.
Hue, saturation, contrast, crop, and subject placement stay exactly as they were in the original. Only the file size changes.
The compressed output meets typical file size limits for web pages, social platforms, email attachments, and marketplace listings without re-shooting.
Workflow
Upload, compress, and review — then download a smaller file ready to use anywhere.
Add a JPG, PNG, or WebP. The larger and less compressed the source file, the more reduction the compressor can achieve.
The model applies perceptual compression — stripping metadata, reducing redundant color data, and smoothing flat areas while keeping edges and detail sharp — in one pass.
Compare the before and after at normal viewing size. Check edges and fine detail areas to confirm visual quality meets your standard before publishing.
Sign in to save history and remove the export watermark from your final compressed image.
Use cases
Shrink any photo to upload-ready size — then check quality before you publish.
Reduce image file sizes so pages load faster — smaller images improve Core Web Vitals scores and reduce bounce rates on slow connections.
Hit the file size limits for marketplaces, CMS platforms, and form uploads without re-shooting or manually resizing in an editor.
Compress images before uploading to Instagram, Facebook, LinkedIn, and Twitter so the platform re-compression does less damage to your visual quality.
Shrink photos to email-friendly sizes so they send quickly and land in inboxes rather than getting blocked by attachment size limits.
FAQ
Practical answers about file size reduction, quality preservation, and optimizing images for web and upload.
Yes. Upload a photo and compress it with the free base model. Sign in to keep results in your history and remove the export watermark from your downloads.
Results depend on the source image — heavily detailed photos compress less than photos with large flat areas like sky or backgrounds. Typical reductions range from 40% to 80% of the original file size while maintaining visual quality indistinguishable at normal viewing distance.
Perceptual compression is designed to be invisible at normal viewing distance. At 100% zoom you may see minor smoothing in very flat areas. For critical use — print production, archival — always compare the before and after at full resolution before publishing.
Lossless compression removes redundant data without any quality change but achieves smaller reductions. Lossy compression (used here) applies perceptual reduction that targets areas where quality loss is visually imperceptible, achieving much smaller file sizes. The one-click preset uses perceptual lossy compression optimized for web delivery.
The one-click preset optimizes for general web quality. For platform-specific targets — Instagram, Shopify, email — open the full workbench and describe the maximum file size or dimensions you need.
Upload a JPG, PNG, or WebP up to 10 MB. The output is optimized for web delivery. If you need a specific output format, describe it in the full workbench.
Start with a prompt or reference, compare models, and save the best result to history. Upgrade when you need cleaner exports, stronger models, or more production volume.