For B2B catalog and dropship operations

Bad supplier photo in, marketplace-grade listing out

Upscale low-resolution. Fix color casts and exposure. Isolate backgrounds even on hairy or transparent products. Restore damaged or vintage product imagery.

Open workflow

When to use this recipe

Built for catalog operations that depend on supplier-provided photos at varying quality.

10 mFrom bad source to listing-ready in about inutes per image

1000Source below px on the long edge needs upscale first; everything else...

2xUpscale to or 4x target resolution before further processing

Dropship or wholesale catalog

You do not control source photography. Suppliers provide photos at whatever quality they choose. The workflow rescues what suppliers send.

Bulk catalog migration

Moving from one marketplace to another, or onboarding a new supplier batch. The rescue workflow processes the inherited image set at the new marketplace's spec.

Heritage or vintage catalog

Vintage product imagery, damaged scans, or aged inventory photos. The workflow restores detail and modernizes the visual treatment without re-shooting.

Mixed-source catalogs

Phone snaps, supplier files, 3D renders, scanned brochures. Workflow handles the mixed-source reality of most B2B catalogs without sorting by source first.

The workflow

Five steps from a degraded source image to a listing-grade output.

Diagnose the source (2 minutes)

Identify the failure mode: low resolution, color cast, blur, background clutter, damage. Diagnosis drives which rescue steps run. Workflow has a quick-diagnose mode that classifies the source.

Run upscale if resolution is below spec (3 minutes)

Source below 1000px on the long edge needs upscale first; everything else fails on a low-res source. Upscale to 2x or 4x target resolution before further processing.

Color and exposure correction (2 minutes)

Auto color-balance and exposure adjustment. For severe casts, manual prompt-language guidance (warm cast, blue cast, underexposed) gives more control.

Background isolation and replacement (3 minutes)

Remove existing background and isolate product. For hairy, transparent, or reflective products, the AI isolation needs a precision pass. Verify edge quality before approving.

Marketplace-spec composition (2 minutes)

Place isolated product on marketplace-spec background (pure white for Amazon, transparent for Walmart) at the correct fill ratio. Output ready for upload.

Tips and failure modes

Six patterns separating successful rescues from sources that cannot be saved.

Upscale before any other processing

Low-res sources fail other steps. Upscale first; then color-correct; then isolate; then compose. Order matters.

Hairy and transparent products are hard

Fur, hair products, glass, plastic with transparency. Default isolation struggles. Use the precision pass and accept lower throughput on these categories.

Damage beyond rescue exists

Some sources are too damaged: severe blur, missing detail, color destruction. Identify these early and request a reshoot or replacement source rather than burning rescue credits on them.

Color accuracy matters

Audiences buy based on color. Aggressive color correction can shift the product color away from reality. Match-correct against a reference if you have one; otherwise correct conservatively.

Multiple angles often needed

Marketplace listings often require front + 3/4 + back. Rescue works per-angle. If suppliers only sent one angle, generating new angles is a different workflow with different risks.

Push rescued sources to bulk catalog processor

After rescue, push the cleaned sources through the Bulk Catalog Processor for marketplace-spec batching. Rescue is the input; bulk processor is the output.

Frequently asked questions

What catalog ops teams ask about rescuing supplier imagery.

What is the lowest quality source the workflow can rescue?

Sources at 400px on the long edge are typically rescuable. Below 200px, results vary wildly and often fail. Below 100px, rescue is rarely viable. Request a better source if available.

How much time does a typical rescue take?

About 10 minutes per source for full rescue (diagnose, upscale, color, isolate, compose). For batches, parallel processing on Pro tier or higher accelerates throughput.

Will rescued images pass Amazon review?

Yes when output meets Amazon spec (1000x1000 minimum, pure white background, 85% fill, no watermarks). The workflow bakes spec in. Verify by submitting a pilot batch first.

Can I rescue at scale (hundreds per day)?

Yes on Pro tier or higher. Premium and Ultra tiers handle hundreds-to-thousands per day. The workflow is batchable; QA time stays human.

What about product color accuracy?

Color correction is conservative by default. For color-critical categories (apparel, paint, food), match-correct against a reference swatch if you have one. Audiences notice color shifts.

Can I rescue product video?

This recipe is image-focused. Video rescue (motion clarity, frame interpolation) uses a different workflow path. For low-quality supplier video, see the Upscale for Delivery recipe.

How do I handle products in a context (not isolated)?

Run rescue first to clean the source. Then run isolation to extract the product. Then run Lifestyle Scene Builder to compose into a clean context. Three-step chain for products that came in cluttered settings.

Is this safe for brand-sensitive enterprise teams?

Yes with proper color matching. Use brand reference swatches for color-critical products. Enterprise teams typically have a QA gate before any rescued source enters the live catalog.

Rescue the catalog you inherited

Supplier Image Rescue workflow turns bad sources into listing-grade output. Diagnose, upscale, color-correct, isolate, compose: 10 minutes per source.

Open workflow