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Analysis first, then the right templates.

Know what your listing is missing before you generate

Most listings do not need more images. They need the right ones. Picmato reads your product and its existing photos, scores what you already have, and works out which shots your product's data can genuinely support. A slot that would need a claim your product cannot evidence is not offered at all. Check each finished image before you publish it.

Why it matters

Every product is analysed before anything is generated, with an overall score and per-category scores.
Shots your product data cannot evidence are withheld rather than guessed at.
Listing image templates are tailored to your product; you still check the finished files against your marketplace's rules.
Templates such as Hero Image, Ingredients, Component Breakdown, and Feature Spotlight give each image a clear purpose. The recommendations depend on your product details and photos.

How listing analysis & template recommendations works

Analysis first, then the right templates.

  1. Add your product

    Paste a marketplace URL or upload your own photos.

  2. Picmato analyses it

    Your product and existing images are read and scored.

  3. Review recommended templates

    See which templates fit your product and what each image will explain.

  4. Generate what matters

    Spend credits on the gaps, not on duplicates.

What are Amazon and Flipkart's product image rules?#

The main image carries the strictest rules. Amazon requires a pure white background at exactly RGB (255, 255, 255); an off-white or cream backdrop can get the listing suppressed. Amazon also requires the product to fill at least 85% of the frame, with no text, logos, badges, watermarks, or borders on the main image. Amazon accepts files from 500 pixels on the longest side, turns zoom on at 1,000 pixels, and its staff recommend 1,600 pixels or larger.

Flipkart plays by different numbers, and its public Seller Hub pages publish no readable spec, so they come from seller guides and Fynd's integration docs. Seller guides give a 500 x 500 pixel floor and recommend 1,000 x 1,000 or larger; Fynd's docs ask for at least 1,000 x 1,000. Per Fynd, most categories call for a plain white or light-grey background, and text, watermarks, and price tags are banned on every image. Seller guides warn against a rear view as the primary image. Apparel adds its own quirks, including a ban on mannequins (Fynd).

Here's the catch: you can't eyeball most of this. A background sitting at 254, 254, 254 looks white to you and fails a pixel check. A 900-pixel image looks sharp on your screen while zoom quietly switches off for your shoppers.

RuleAmazonFlipkart
Main image backgroundPure white, RGB (255, 255, 255)White or light grey, varies by category
Resolution500 px to upload; 1,000 px longest side for zoom; 1,600 px+ recommended500 x 500 px in seller guides; Fynd asks for 1,000 x 1,000
Frame fillAt least 85% of the frameNo published figure; keep the product large
Text and overlaysNo text, logos, badges, or watermarks on the main imageNo text, watermarks, or price tags on any image (Fynd)
If you failListing suppressed, hidden from searchCataloging QC rejection
Scroll horizontally to view full table →

How does Picmato decide which listing shots to make?#

Picmato works the problem from the other end. Every product is analysed and scored before anything is generated, and the analysis recommends listing image templates tailored to it. The main image is briefed with no text, shots your product data cannot evidence are not offered at all, and a listing with no measurements gives the planner none to build a size chart from. The analysis does not read a marketplace's rulebook, so the rules check on the finished file stays with you.

That matters because finding out the hard way is expensive. On Amazon, a non-compliant image can get your listing suppressed, which hides it from search until you upload a fix. On Flipkart, images go through a cataloging quality check, and rejection messages are often generic, leaving you guessing which of a dozen rules you broke. Every day spent diagnosing is a day of lost sales.

Be clear about the split, because most tools are not. Picmato plans shots from your product's analysis and generates them; it does not check your exported file against a marketplace's rules or certify it. AI renderers do not guarantee an exact RGB value, so open the main image in a colour picker and confirm the background before you upload. And remember the rules relax after slot one: Amazon allows infographics, lifestyle scenes, and text in secondary images, so aim your strictest pass at the main image.

Official platform documentation, compliance requirements, and image frameworks related to listing analysis & template recommendations.

Listing Analysis & Template Recommendations: questions answered

Why do Amazon listing images get rejected?

Common causes are a main image that is not on a plain white background, or text, logos, and graphics on the primary image where they are not allowed. Resolution works differently: under 500 px the file will not upload, and under 1,000 px it goes live without zoom. Picmato's main image is directed to a plain white studio background and briefed with no text, and each other image's brief decides whether it needs any. Verify the final file against your marketplace's spec before uploading.

Does Picmato check my images against marketplace rules?

No. Nothing in Picmato checks a finished file against a marketplace's rules. What it does happens earlier: your product is analysed before anything is generated, shots its data cannot evidence are not offered, and the main image is briefed with no text. Reviewing the exported file against your marketplace's current spec is still your step, and we would rather say so than imply a check that does not run.

How does Picmato handle Amazon and Flipkart image rules?

It leaves the final check to you: Picmato does not check files against marketplace rules. What it does is earlier. Your product is analysed first and gets listing image templates tailored to it, shots its data cannot evidence are not offered, and the main image is briefed with no text. Amazon wants a plain white main image at RGB 255, 255, 255; Flipkart accepts white or light grey in most categories. Verifying the finished file is your step.

What resolution does Amazon require for product images?

Amazon accepts files from 500 pixels on the longest side, turns zoom on the detail page at 1,000 pixels, and its staff recommend 1,600 pixels or larger, with a maximum of 10,000 pixels. Zoom matters because shoppers inspect details before they buy. Picmato's 1K, which is 1,024 px, is the only size on Free and Starter; clearing 1,600 px needs 2K or 4K on Pro or Max, chosen before the image is made.

Are AI-generated product images allowed on Amazon and Flipkart?

Neither marketplace publishes a rule banning AI-generated images outright; the governing standard is accuracy. Amazon requires that images truthfully depict the actual product being shipped, and Amazon Ads even offers its own AI image generator for lifestyle ad backgrounds. Flipkart's seller guidance lists digitally created graphics as a QC rejection reason. The safe pattern: keep your real product photo intact and use AI for backgrounds and gallery scenes.

What happens if an Amazon listing image fails compliance?

Amazon typically suppresses the listing, hiding it from search results until you upload a compliant image, and repeat violations can escalate further. On Flipkart, non-compliant images fail the cataloging quality check and the listing sits in your dashboard waiting on corrections. Either way, you lose selling days to diagnosis and re-review. Opening your own exports and checking background, framing, and size before upload turns that recovery loop into a two-minute fix.

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