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AREM Labs

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Image Compressor

Compress JPG, PNG, and WebP images by adjusting quality and max edge size. Reduce file sizes in bulk right inside your browser without uploading any data.

1Drop your images here

JPG, PNG, WebP · up to 50 files

Quality

Longest side

Format

Tips

  • A balanced quality setting of 0.75 cuts file size roughly in half without visible degradation on product photos.
  • Capping the longest edge at 1600 pixels yields the largest size reduction for web storefronts.
  • If compression produces a larger file than the original, the source file is kept automatically.

How to use it

  1. 1 Upload up to 50 image files to process them immediately with default balanced settings.
  2. 2 Adjust the compression quality level, maximum edge limit, and output format to recalculate file sizes live.
  3. 3 Download your optimized images individually or use the batch download option for the entire archive.

What you should know

Uncompressed photos from modern cameras and smartphones often weigh between 4 MB and 8 MB, yet web browsers rarely render them wider than 1600 pixels. Serving raw files wastes bandwidth and hurts search engine rankings, as page speed directly impacts search visibility and user retention. Lossy compression algorithms in formats like JPG and WebP discard imperceptible chroma sub-sampling and high-frequency pixel data to shrink files by 50% to 80%. In contrast, lossless PNG files retain every exact pixel value, which preserves crisp lines and alpha transparency but keeps file sizes substantially higher unless converted.

This tool re-encodes images entirely within your browser using the HTML5 Canvas API and client-side encoders, processing batches of up to 50 files locally without uploading them to any remote server. You can adjust the quality slider, define a maximum dimension for the longest edge, and convert between JPG, PNG, and WebP formats. EXIF metadata and color profiles are stripped during canvas re-encoding to maximize byte savings. If a re-encoded file ever ends up larger than its source, the engine automatically retains the original asset to prevent accidental file bloat.

Measured output sizes

Test file: a 4000×3000 landscape photo, already saved as a 1.61 MB JPEG. Run in Chrome 154 on a desktop PC; each file took under half a second as JPG and about one second as WebP at full size.

Long edgeQualityOutput sizeJPGWebP
Original904000×30002.07 MB2.16 MB
Original754000×30001.69 MB1.19 MB
Original604000×30001.48 MB1.01 MB
2000 px902000×1500880 KB802 KB
2000 px752000×1500520 KB402 KB
2000 px602000×1500386 KB341 KB
1600 px901600×1200537 KB460 KB
1600 px751600×1200313 KB236 KB
1600 px601600×1200234 KB197 KB
1200 px901200×900326 KB285 KB
1200 px751200×900191 KB150 KB
1200 px601200×900142 KB127 KB
  • Quality alone barely helps a photo that is already a compressed JPEG: at full size, quality 90 and 75 both came out larger than the 1.61 MB source, and the tool keeps your original in that case. Quality 60 saved only 9%.
  • Lowering the long edge is what moves the number. 2000 px at quality 75 gave 520 KB, a 68% cut; 1600 px gave 313 KB, an 81% cut.
  • On the resized outputs, WebP came out 22 to 25% smaller than JPG at quality 75, and 9 to 16% smaller at quality 60 and 90.
  • For a product page where the image is shown at 1600 px or less, 1600 px at quality 75 is a sensible default: 313 KB as JPG, 236 KB as WebP.

Frequently asked questions

Which compression quality setting should I choose?

A balanced value around 0.75 is optimal for standard e-commerce and web graphics, cutting file size significantly without visible degradation. For close-up product shots displaying intricate fabric textures or fine typography, choose a higher quality level around 0.85.

Why do PNG files barely reduce in size?

PNG is a lossless format that ignores quality compression sliders, so only dimensional downscaling reduces its size. If transparency is not strictly required, converting the PNG to JPG or WebP will reduce the file size by up to 90%.

Will compression noticeably degrade image quality?

Balanced and high quality levels retain full visual clarity on standard computer monitors and mobile screens. However, lossy compression permanently alters pixel data, so always keep separate high-resolution source files for print production.

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