Install it once
The whole pipeline comes with it. Nothing to wire up, no SDK, no glue code to maintain.
One supplier photo in, a marketplace-compliant set out.
Cutout, spec, upscale, all from one command.
The product stays exactly as photographed.
The whole pipeline comes with it. Nothing to wire up, no SDK, no glue code to maintain.
Amazon, Shopify, your own PDP. Say where it's going and the right spec follows.
Amazon main, Shopify PDP, site hero, thumbnail. Each at the exact ratio and resolution it needs.
One SKU or ten thousand. Same framing, same background, same spec on every single one.
Chain only the steps your catalog needs.
Strip whatever the product was shot against, and put the background each channel asks for in its place.
Pull one product out of a group or lifestyle shot, a single shoot becomes images for the whole SKU range.
Clear every channel’s resolution minimum without regenerating the product itself.
The same framing on every SKU, so a thousand listings look like one catalog.
Describe the scene and the product moves into it. No set, no reshoot, product untouched.
A natural contact shadow, so the product sits on the page instead of floating above it.
Control exactly how much of the frame the product fills.
Your vendor sends one shot and you need it at whatever ratio each marketplace is asking for this season. The pipeline reformats what it’s given, so the colorway your buyer signed off on is the one that reaches the PDP.
Every retailer wants its own dimensions, and the answer is usually studio time. Recanvas bottles, tubes, packs and bundles from the packshot you already have, shade and finish intact.
Lot photos to listing-spec images without touching the vehicle. No smoothed panels, no invented trim, no color drift.
Someone buying a chair online judges its scale, material and color from one image. Reframe a whole collection to a single standard without any of the three drifting.
Six vendors send six ideas of how to photograph a laptop, and the category page shows it. Standardize framing, scale and background so the range reads as one catalog.
Strollers and car seats are the last things you want back in a studio because a channel changed its spec. Reformat what you shot the first time, with fabric texture and colors holding up.
Clean edges on fabric, hair, transparency and fine product detail. The product is preserved, not regenerated. Color and condition survive the pipeline.
Trained exclusively on licensed data so every output is rights-clear and indemnified. Spec-driven, not prompt-driven. Same input, same output, every run.
Hosted across cloud, BYOC and on-prem. No GPU autoscaling, session management or ML ops. Pay-as-you-go from the first call.




















Anything that turns a raw product image into a channel-compliant one. PDP image sets for your own storefront, marketplace listing pipelines, seller-upload standardization on a resale platform, catalog migration when a channel changes its spec, bulk reformatting for a new region. On the automated side: ingest from a PIM, run the pipeline per SKU, push the compliant set back. Same API key for all of it.
Bria builds visual AI infrastructure for product teams — image generation, image editing and video editing — trained exclusively on licensed data. The catalog-ready pipeline is one workflow inside a broader visual AI platform. Teams already using Bria’s editing endpoints can adopt it without changing infrastructure or auth.
No, and we’d rather say so. It’s a full workflow. The Catalog-Ready skill orchestrates all needed APIs and hands back the desired output, so it’s one command for you. A single chained endpoint is on the roadmap; the skill is how the pipeline runs today.