Flipkart Image Guidelines and Cataloging Rules: The Seller's Checklist

What are Flipkart's image requirements?

Flipkart's cataloging QC reviews every image before your listing goes live. The core rules are consistent across categories: clear the resolution floor, keep the background plain, show the whole product from the front, and keep the image free of text and graphics. Category-level details differ, and the canonical version for your vertical lives inside Seller Hub.

One rule surprises sellers coming from Amazon: per the Flipkart integration docs published by Fynd, a third-party integrator, apparel images need a light-grey background with a soft shadow, and a white background is not accepted for that vertical. Sources conflict on this, so verify your category's rule in Seller Hub before you batch-edit an entire catalog. Here is the spec sheet. Flipkart's public Seller Hub image pages returned no spec text when we checked in September 2026, so each row says where its figure comes from.

Why does Flipkart reject images at QC?

Cataloging QC is where most new listings stall, and rejection messages are often generic, so knowing the usual suspects saves you a round trip. In the Listing In Progress widget, a red circle means manual QC rejected the information, and a yellow one means the selling information is still pending. Fixes go through the Listings in progress screen. These are the rejection reasons that come up again and again:

• ✓Resolution below the minimum, or blurry, pixelated, or inverted images
• ✓Colorful, creative, or cluttered backgrounds on the primary image
• ✓Product too small in the frame, cropped, or only partially visible
• ✓Watermarks, promotional text, prices, or borders anywhere on the image
• ✓Graphics: digitally created or illustrated images where Flipkart expects a real photo
• ✓Image does not match the listed attributes, such as a different color shade, pattern, or model
• ✓No front view first, or accessories and packaging appearing in the primary shot
• ✓Mannequins in apparel images, or screenshots and copied stock photos
• ✓Wrong category mapping or missing mandatory attributes, which hits fashion listings hardest

How do you pass Flipkart cataloging on the first try?

Treat QC like a pre-flight checklist. Every item below is checkable before you upload, and each one maps to a known rejection reason:

Planning the set before you generate beats auditing at the end. Picmato analyses your product before it generates anything, shots your product data cannot evidence are not offered, and each of the 34 built-in shot types carries its own rule for whether text may appear in the image. Paste your Flipkart listing URL, or upload up to 12 photos in JPG, PNG, WebP, or HEIC, and it generates fresh images of your product. It does not check the exported file against Flipkart's rules for you, so treat this checklist as your last step before you submit.

• ✓Export at 1000 x 1000 px or larger, square, as JPEG in sRGB
• ✓Use a plain white or light-grey background, and check Seller Hub for your vertical's exact rule, especially in apparel
• ✓Keep the product large in the frame, centered, nothing cropped; Flipkart publishes no fill percentage to measure against
• ✓Lead with the front view, and show every unit of a combo in image one
• ✓Strip all overlays: no text, watermark, price tag, or border
• ✓Match the photo to your attributes; if the listing says navy, the image must read navy
• ✓For apparel, shoot a real model, keep the face visible, and use the same model in every shot
• ✓Upload at least two images, three if you can, and keep lifestyle or packaging shots in secondary slots

Does Flipkart allow AI-generated product images?

There is no published Flipkart policy that explicitly permits or bans AI-generated product images as of this writing. In practice, seller reports and integration docs indicate Flipkart evaluates images on compliance and accuracy, not on how they were made. If an image meets the specs and truthfully shows your product, provenance is not something QC tests for.

The constraint that matters is authenticity. Flipkart's guidance says listing images should be real photos of the actual product, and "graphics", meaning digitally created or illustrated images, are a listed QC rejection reason. Photoshopped celebrity images are explicitly banned. A fully synthetic render of a product that does not exist in that exact form is precisely what QC exists to catch. Sellers also report that AI-generated models wearing AI-generated garments get rejected, because apparel shots are expected to show a real model in the actual garment.

The safe pattern: start from a real photo of your real product and let AI handle the background and context. That is how Picmato works. Your own photos anchor every generation, and each product is analysed and scored before a single shot is produced, so shots your product data cannot evidence are never offered. It builds a scene around your product rather than inventing a product from a prompt. Keep the output honest too. India's consumer-protection rules penalize misleading ads, and ASCI has drafted guidelines on labelling AI-generated ad content, so a visual that exaggerates what your product does is a legal risk, not just a QC risk.

How do Flipkart's image rules differ from Amazon's?

The biggest difference is background. Amazon requires a pure white background (RGB 255,255,255) for the main image. Flipkart accepts white or light grey for most categories, and Fynd's Flipkart integration docs say apparel needs grey, not white. Reusing your Amazon hero shot on Flipkart usually works for electronics and general goods, but it can fail for fashion.

Resolution expectations differ too. Amazon accepts files from 500 px on the longest side, turns zoom on at 1,000 px, and its staff recommend 1,600 px or more. For Flipkart, seller guides give a 500 x 500 px floor and Fynd's docs ask for 1000 x 1000. The overlap is still large: both want the product large and front-facing, with no text, watermarks, prices, or props. Only Amazon puts a number on the fill, at least 85% of the image; Flipkart publishes none. Build once to the stricter spec and you can list on both. Whatever tool made the images, check each finished file against the rules of the marketplace you upload it to. One caveat with any AI renderer: it will not guarantee an exact RGB value, so check the Amazon version with a colour picker before you upload.