E-commerce Product Images That Meet Every Marketplace Spec
Standardize product images across every SKU — background removal, cleanup, and upscaling that meet marketplace specs.
Explore workflowCompress JPEG files online — no sign-up required
A workflow built around your real creative needs — from first direction to final asset.

Standard JPEG encoders write Huffman tables without optimising them for each image. mozjpeg, developed by Mozilla, recalculates optimal Huffman tables per file and applies trellis quantization — systematically testing coefficient decisions to find a better bit allocation. The result is a JPEG that decodes identically to a standard one but is 10–40% smaller at the same visual quality.
Try for free
Upload a folder of JPEGs — product shots, blog images, campaign photos — and every file is compressed in parallel at the same quality target. No manual tuning per image, no quality slider to adjust, no file-by-file processing. All files are done in the time it takes to process the first one.
Try for free
Compressing JPEGs before upload directly reduces Shopify CDN bandwidth, cuts Google Ads creative load time, and improves Core Web Vitals scores — all of which affect ad quality scores and organic rankings. A 60% reduction in JPEG file size means 60% less bandwidth served per page load at no cost to visual quality.
Try for freeMozilla's optimised JPEG encoder applies better Huffman tables and trellis quantization to produce files 10–40% smaller than standard JPEG encoders at equal visual quality.
Quality is set at 82 — indistinguishable from the original at normal viewing distances. The encoder removes data your eyes cannot detect, not data that affects how the image looks.
Output JPEGs are progressive — they render at low resolution first and sharpen as data loads. Progressive encoding also contributes a small additional size saving.
Upload dozens of product images, blog photos, or campaign assets at once. Every file processes in parallel so a hundred images completes in the time it takes to process one.
Images are processed server-side and immediately discarded after the compressed file is returned. Nothing is stored, indexed, or retained.
Download each compressed JPEG with a single click, or export the entire batch in one pass. Files are ready as soon as each one finishes — no waiting for the whole batch.
“I was re-exporting product JPEGs from Lightroom at different quality settings trying to hit a file size target. Playyy just compresses them correctly the first time — I upload and download without touching any settings.”

James Walker
Ecommerce Creative Strategist
“Our ad platform was flagging creatives for file size. I ran the whole batch through Playyy and every JPEG came out under the limit with no visible quality drop — the client couldn't tell which version was compressed.”

Emily Carter
Growth Marketing Strategist
“I manage product content for a brand with 800 SKUs. Compressing the JPEG library used to be a two-day job. With Playyy I batch the entire catalog and it's done in under an hour.”

Sophie Whitmore
Social Media Manager & Brand Content Consultant
Two JPEGs at quality 82 can have different file sizes depending on which encoder produced them. The standard libjpeg encoder doesn't optimise Huffman tables per image. mozjpeg does — and that optimisation, combined with trellis quantization, accounts for the 10–40% size difference. Playyy uses mozjpeg for every JPEG it compresses.
A single product catalog launch can involve hundreds of JPEG assets — hero images, product shots, lifestyle photos, and thumbnails — each needing a web-optimised version before upload. Playyy's batch pipeline handles the full set in one upload without per-file limits or credit systems.
Compression is the last step before publishing. Running it in Playyy means you can edit, upscale, or remove backgrounds in the same session — compress is one click at the end, not a separate trip to a different tool.
Standardize product images across every SKU — background removal, cleanup, and upscaling that meet marketplace specs.
Explore workflowFrom content gap to publish-ready creative — AI image generator, brand style matching, and copy placement in one session.
Explore workflowmozjpeg is an optimised JPEG encoder developed by Mozilla. It uses better Huffman table optimisation and trellis quantization — techniques that reduce file size by 10–40% compared to standard libjpeg encoders at the same visual quality setting.
At quality 82, the compression removes sub-perceptual data that human eyes cannot detect at normal viewing sizes. Side-by-side at 100% zoom you may see micro-artefacts in extremely detailed areas, but at normal display sizes the images are indistinguishable.
Yes. All compressed JPEGs are output as progressive JPEGs, which render at low resolution while loading and sharpen as more data arrives. Progressive encoding also provides a small additional size saving.
15 MB per file. Typical high-resolution JPEGs from cameras and design tools are well under this limit.
Photoshop's Save for Web uses the standard libjpeg encoder. Playyy uses mozjpeg, which produces files 10–40% smaller at equivalent quality. For most product and marketing images this represents a meaningful difference in bandwidth and load time.
See how teams are using Playyy to ship better visuals, faster.

Sixty lifestyle images, three days, no studio. How one Shopify brand cut product shoot costs by 80% using AI photo editing.

Six creative directions, one working day, real market data — before the studio was ever booked.

30 ad creatives, two channels, three days — how a SaaS growth team ran a quarter-end campaign push without an agency on retainer.
Keep every image on brand, control the final look, and turn campaign ideas into polished assets without waiting on another design cycle.