Amazon MAIN (single, facing left, 45°)
Derived from the real capture at the exact angle convention. The suppression-proof slot.
Footwear has the most specific main-image rule in commerce, and it's a photograph rule: Amazon requires the MAIN image to show a single shoe, toe facing left, at a 3/4 view (their style guides say ~40°, G1881 says 45°), pure white RGB 255, product filling ≥85% of the frame — no pair, no right shoe, no model, no box. Get the angle, handedness or fill wrong and the ASIN suppresses from search. 'Shoe product photography' is ~140 US searches at difficulty 7. Meanwhile the AI tells for shoes are brutal and well-known: mismatched pairs, tread patterns redrawn into generic zigzags, swoosh-adjacent geometry that invites trademark trouble. Berrys keeps the silhouette, tread and material grain locked to real capture and does the volume work around it — per-marketplace crops, pair variants, on-foot context and size charts.
Reviewed October 2026 · Prepared by Berrys · Technical specifications & Canvas node workflows
| Parameter / Slot | Marketplace & Production Requirement |
|---|---|
| Amazon MAIN | Single shoe (UK guide: left shoe), toe facing left, 3/4 view ~40–45° from slightly above · pure white #FFFFFF · ≥85% fill · flat-lay shot convention |
| Amazon prohibitions | No pairs in MAIN, no right shoe alone, no models, no boxes/accessories, no text or logos; children's footwear has additional restrictions |
| Zoom spec | ≥1,000 px long side for US zoom (UK guide: 1,600+ px), JPEG preferred, RGB, sharp and fully in focus |
| Amazon alternate slots | Pair, heels, tread/sole, side profiles, detail macro — variant codes MAIN/PT/FRNT/BOTTOM etc. |
| Shopee | 1:1 squares, cover on solid bg with ≥60% fill, no text on cover; up to 9 slots; apparel/footwear sub-categories require a separate size-chart image |
| Size chart | Generate from your last's actual mm/cm measurements (foot length → size grid); a chart copied from a generic template is a return factory |
| On-foot / lifestyle | Allowed in secondary slots across channels; keep the shoe pixels locked to the real upper, midsole and outsole |
| Video | Step-in / walk cycles from the locked reference; outsole flex and tread contact must match the real construction |
Derived from the real capture at the exact angle convention. The suppression-proof slot.
Secondary per Amazon; cover-eligible elsewhere. Symmetry checked — no mismatched eyelets.
The two angles buyers use to sanity-check silhouette honesty.
Outsole pattern cropped from real capture — a redrawn tread is a different shoe.
Knit grain, leather pebble, mesh weave at zoom; texture derived, never imagined.
Real mm grid per the last; Shopee apparel/footwear requires the separate chart image.
Street/trail/gym branch; garment and ground vary, shoe geometry stays locked.
Shoe + extras shot that prevents missing-accessory disputes.
Step-in loop from the locked reference, 9:16 for slots and ads.
Models generate the left and right shoe as separate inventions — eyelet counts, panel stitching and swoosh curvature diverge, and sneaker communities screenshot mismatched pairs as the canonical AI tell. Pair discipline starts from one locked geometry and mirrors honestly.
Outsole patterns are functional IP (and sometimes protected trade dress). A model 'improving' a tread creates a shoe that doesn't ship — and can create one that can't be sold. Sole imagery crops from the real capture.
Facing-right MAINs and pair MAINs are auto-suppressed; a beautiful render at the wrong angle is a delisted ASIN. The export graph bakes the handedness/angle rule per channel instead of hoping the upload passes.
One true-angle studio (or approved factory) capture per model/colorway seeds everything downstream.
Per-colorway File node references keep upper/material truth across the family — no cherry-red panel on the navy pair.
Amazon's 9-slot plan and Shopee's size-chart slot are graph outputs, so the same set serves US and SEA without a re-shoot.
Already working in an AI agent? Connect Berrys to Claude, Cursor, ChatGPT, Codex, or Hermes. Your agent plans the footwear suite and runs the shots on your Berrys canvas, with saved Brand Memory and credit approval in chat.
https://app.berrys.io/api/mcpRemote MCPUsing Berrys, create an Amazon & Shopee compliant 9-slot footwear suite for my sneaker reference in ./assets: 1. File node: Ingest single shoe reference photo (left shoe, toe facing left at 45° angle). 2. Brand System node: Set pure white background (#FFFFFF). Lock product bounding box to 85% frame fill. Ensure outsole tread pattern and eyelet geometry remain strictly locked to the physical sample. 3. Image node (Nano Banana 2.1): Render 2048px Amazon-compliant MAIN cover. 4. Secondary images: Generate matched pair view, heel profile, close-up tread macro, and upper knit/leather texture zoom. Estimate credit cost and request approval before generating.
Footwear renders live or die on geometry the buyer can verify: tread, eyelets, swoosh curvature, handedness, mm sizing. This workflow automates the nine-slot machine around a truthful capture and enforces each marketplace's photo-law (single-left-45°, size-chart slot, cover fill). Sizing performance, cushioning feel and durability claims stay with the physical shoe — no image layer can honestly assert them.
It's their documented style-guide convention for footwear MAIN images (left shoe, toe pointing left, ~40–45° 3/4 view on pure white) — consistent search results. Non-compliant MAINs are suppressed from search, which costs the listing all organic visibility.
You can, and buyers will treat the discrepancy as fraud when it ships. Pre-launch renders need 'image is a representation' labeling at minimum; the safe pipeline is approved-sample photography as the lock.
Yes — chart-to-product mismatch is the number-one footwear return driver on SEA marketplaces. Shopee now requires the separate chart slot in many apparel/footwear categories, so a generated generic chart compounds the problem.
Context/worn scenes branch from the locked shoe; the shoe pixels carry real capture truth. Where fit itself is the claim (sizing advice, width promises), a physical sample still rules.
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