Compress Images
Supported extensions (expand/search)
Supports many aliases including jpeg.
Input extensions
Compression guide for real uploads
Effective compression starts with the target platform budget, not with a random quality value. Decide the max upload size first, then adjust quality and dimensions together. For example, social previews often look better with moderate downscaling plus medium quality than with full-resolution aggressive compression.
IMAGEEE compress now uses format-first target fitting. If the source/output family has a native target-size encoder, the compressor stays in that family and searches for the best in-budget result. When the requested size is impossible at safe quality, it can step down image dimensions before changing format, which keeps outputs more predictable than forcing everything to WebP.
For product images and UI screenshots, keep text edges readable by avoiding very low quality levels. If your source is already heavily compressed, repeated lossy encoding can create artifacts quickly, so compare output at 100% zoom before finalizing batch settings.
Compression is most reliable when you define acceptance criteria before running batches: target range, visual tolerance, and platform compatibility checks. Keep one original sample and one compressed sample together for comparison so operators can quickly detect over-compression, color drift, or edge ringing before shipping.
Target size vs quality mode: which should I use?
Use target size when upload limits are strict. Use quality mode when visual consistency matters more than exact KB.
Will compression change my file format?
Not by default when the selected output family has native target-size control. Legacy formats without reliable target-size tuning can fall back to JPG or PNG instead of an automatic WebP conversion.
Should I resize before compression?
Usually yes. Downscaling to final display dimensions before compression gives more stable quality and smaller files.
Can I recover quality after over-compression?
No. Keep the original source file and run a new export with safer settings if artifacts appear.
How should teams standardize compression settings?
Define preset ranges per use case (web preview, listing image, archive) and verify with representative files weekly.