Product Image Guidelines for Amazon India, Flipkart & Myntra, and Where AI Fits
By the ORA Lab team · Updated 17 August 2026 · 8 min read
Key takeaways
- The three big Indian marketplaces agree on principles, white backgrounds, high resolution, product-dominant framing, but differ on specifics enough to reject cross-posted images.
- Headline specs: Amazon India wants pure white (RGB 255) mains at 1000×1000px minimum; Flipkart wants >1000px on white; Myntra wants 1500×2000px portrait on near-white grey, true white can be rejected there.
- Only the main image is heavily constrained; secondary slots allow lifestyle and on-model imagery, which is where AI-generated scenes earn conversion without compliance risk.
- AI generation fits marketplaces cleanly if outputs are validated: resolution, background value, fill percentage, and, above all, product accuracy, which every marketplace holds sellers responsible for.
- Specs drift: marketplaces revise guidelines periodically, so verify in your seller portal before bulk re-shoots. This article reflects publicly documented 2026 requirements.
Every Indian seller learns marketplace image rules the same way: a rejection email. The photo that sailed onto Amazon bounces off Myntra; the Flipkart-approved main gets flagged somewhere else for background tint. The rules aren't complicated, but they're scattered across seller portals and phrased just differently enough to trip anyone listing on all three platforms, which, for serious sellers, is everyone.
This guide consolidates the 2026 requirements for Amazon India, Flipkart, and Myntra in one place, then covers the question the official docs don't: where AI-generated imagery fits into a compliant listing workflow, and where it doesn't. One honest caveat up front, marketplaces revise specs periodically, so treat this as your working map and the seller portal as the final word before any bulk production run.
The specs, side by side
| Amazon India | Flipkart | Myntra | |
|---|---|---|---|
| Background (main) | Pure white, RGB 255,255,255 | White | Near-white grey (~RGB 245), pure white can be rejected |
| Minimum resolution | 1000×1000px (1600×1600 recommended for zoom) | >1000px each side | 1500×2000px |
| Aspect ratio | Square typical | Square typical | 3:4 portrait |
| Product fill | ≥85% of frame | ≥85% of frame | Category-dependent framing rules |
| Formats | JPEG preferred (TIFF, PNG, GIF accepted) | JPEG, PNG, TIFF, GIF | JPEG |
| Colour space | sRGB | sRGB or CMYK | sRGB |
The detail that catches most multi-platform sellers is the background split: Amazon demands true white while Myntra's reviewers prefer a soft near-white and have rejected clinical 255-white as harsh. One master image cannot serve both mains without a background adjustment pass, a thirty-second fix if your workflow knows about it, a rejection cycle if it doesn't.
Main image versus the rest of the slots
The strict rules above govern the main image, the one in search results. The remaining slots (typically five to seven more) are where marketplaces actively encourage richer content: lifestyle scenes, on-model shots, scale references, detail crops. This split matters enormously for AI workflows, because it means the constrained image is also the simplest one to produce, while the slots that reward creativity are exactly where generated campaign imagery does its best work: the necklace worn, the sofa in a room, the piece at true scale on a model.
- Slot 1 (main): white-background pack shot, spec-compliant, the mechanical image.
- Slots 2 to 3: on-model or in-context lifestyle, the conversion images, and prime AI territory.
- Slot 4: scale reference, piece on hand/neck, sofa against a room; where scale-true generation prevents the size-surprise returns marketplaces punish you for.
- Slots 5+: detail crops, angle views, packaging where relevant.
Where AI fits, and the one rule that overrides everything
None of the three marketplaces prohibits AI-generated imagery. What they enforce, production method aside, is accuracy: the product depicted must be the product delivered. That's the same standard that has always governed retouched photography, and it lands on the seller, not the tool. So the compliance question isn't 'is AI allowed?', it's the fidelity question this blog keeps returning to: does the generated image show your actual SKU, stone-for-stone, thread-for-thread? An accurate generated lifestyle image is compliant; an 'enhanced' one that grew an extra stone is a violation waiting for a return.
A compliant AI listing workflow, end to end
- 1.Capture one clean source photo per SKU against the prep checklist.
- 2.Generate the main-image pack shot per platform: same product, backgrounds tuned per marketplace (true white / near-white), exported at each platform's resolution and ratio.
- 3.Generate secondary-slot imagery: on-model, lifestyle scene, scale reference, one generation session covers all platforms since these slots share looser rules.
- 4.Run the mechanical validation pass (resolution, background value, fill, format).
- 5.Run the accuracy pass: count and compare against the source at full zoom, the thirty seconds that protects the listing.
- 6.Upload per platform; keep the source photo and generation settings on file so refreshes and new slots come from the same anchored source.
Category notes for our readers
Jewellery sellers: marketplaces scrutinise jewellery imagery more than most categories because returns run high; scale references and true metal colour matter disproportionately, and dense pieces need fidelity-grade generation or they'll fail your own accuracy pass before the marketplace ever sees them. Furniture and décor sellers: dimension accuracy is the battleground, a lifestyle slot that misleads on size converts today and returns next week; keep scale-anchored scenes and put measurements in the images themselves where platforms allow.
If you're building this workflow at catalog scale, hundreds of SKUs, three platforms, festive refreshes on the Diwali calendar, the economics of doing it with generation rather than shoots are covered across our cost guides. And if you'd like to see a marketplace-ready set produced from one source photo, : main image in both whites, on-model slot, scale slot, all from a single capture.
Frequently asked questions
- What are Amazon India's product image requirements?
- Main images need a pure white background (RGB 255,255,255), the product filling at least 85% of the frame, and a minimum of 1000×1000 pixels, with 1600×1600 recommended so zoom works. JPEG in sRGB is the standard choice. Secondary slots permit lifestyle and on-model imagery. Verify current specifics in Seller Central before bulk production.
- What image size does Myntra require?
- 1500×2000 pixels in 3:4 portrait orientation, JPEG format, and notably, Myntra's reviewers prefer a soft near-white background (around RGB 245) and can reject pure white as too harsh, the opposite of Amazon's requirement. Cross-posting the same main image to both without a background pass is a common rejection cause.
- Does Flipkart allow AI-generated product images?
- Flipkart's rules govern the image, not the production method: white background, more than 1000px per side, product-dominant framing, accepted formats (JPEG, PNG, TIFF, GIF). AI-generated images that meet the specs and accurately depict the product are acceptable; accuracy responsibility sits with the seller.
- Can I use the same product images across Amazon, Flipkart, and Myntra?
- Secondary lifestyle slots largely travel across platforms; main images don't, background standards (Amazon's pure white vs Myntra's near-white) and Myntra's 3:4 portrait ratio require per-platform variants. Generating per-platform mains from one anchored source photo is the clean solution.
- Why do marketplaces reject product images?
- The usual causes are mechanical: background not matching spec, resolution below minimum, product filling too little of the frame, wrong ratio or format, plus accuracy flags when the image misrepresents the product. Mechanical checks are scriptable; run them before upload and rejections become rare.