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 Flipkart's channel integration docs, 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, cross-referenced from Flipkart's Seller Hub guidance and its channel integration documentation.

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 your dashboard, red status means manual QC rejected the listing and yellow means it 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, seller logos, 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:

A pre-check tool removes the guesswork. Picmato includes a built-in Amazon and Flipkart compliance checker that validates background purity, resolution, and text-overlay rules before you upload, so an image that would bounce at QC gets flagged on your screen instead of in your seller dashboard. Paste your Flipkart listing URL or upload photos (JPG, PNG, WebP, or HEIC) and it generates marketplace-ready images with clean background replacement.

• ✓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
• ✓Fill roughly 85 percent of the frame with the product, centered, nothing cropped
• ✓Lead with the front view, and show every unit of a combo in image one
• ✓Strip all overlays: no text, watermark, logo, 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. It keeps your product intact and swaps in a clean, compliant background 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 its channel 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 requires at least 1000 px and recommends 2000 px; Flipkart's floor is 500 x 500 px with 1000 x 1000 recommended. The overlap is still large: both want the product filling roughly 85 percent of the frame, front-facing, with no text, watermarks, prices, or props. Build once to the stricter spec and you can list on both. Picmato generates both variants from a single upload, with pure #FFFFFF background replacement for Amazon and per-marketplace compliance checks, so cross-listing does not mean re-editing.