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AI Product Photography

AI Photoshoots for Myntra & Flipkart Sellers

India's largest fashion marketplaces rank on-model catalog images above flat-lays — Pixefit gets every kurta, saree, and lehenga on a model without a shoot day.

Myntra & Flipkart product photos, without a studio

To get Myntra and Flipkart product photos without a studio, upload your apparel flat-lay or ghost-mannequin image to Pixefit and select on-model output with a 2:3 portrait ratio. The AI generates marketplace-ready catalog shots showing accurate drape, fit, and fabric texture — suitable for both Myntra's catalogue compliance guidelines and Flipkart's Fashion listing standards.

Myntra and Flipkart are India's dominant fashion marketplaces, and both heavily weight catalog image quality in their search ranking algorithms. For apparel — particularly India ethnic wear like kurtas, sarees, lehengas, and salwar suits — on-model images are the standard that separates sellers who appear on page one from those who don't. A flat-lay listing for a banarasi saree or bridal lehenga tells the buyer almost nothing about drape, fall, or how the garment will actually look on a person. Pixefit's on-model output handles the full range of ethnic wear with accurate fabric rendering — the category that global tools consistently fail to serve well.

How it works

From upload to on-model in minutes.

01

Upload your product image

Upload your garment image — flat-lay, ghost mannequin, or hanger shot. For ethnic wear like sarees and lehengas, a flat-lay with the garment fully spread works best for fabric texture accuracy.

02

Choose the Myntra & Flipkart preset

Select on-model output. Choose a model style suited to the garment — Pixefit offers Indian model options appropriate for ethnic wear catalog standards. Set aspect ratio to 2:3 (the Myntra/Flipkart portrait standard) and output resolution to 1080px width minimum.

03

Export & list

Download the catalog-ready images. White-background on-model shots go directly into your Myntra or Flipkart listing upload; lifestyle variants are available for brand pages and sponsored placements.

Bulk your Myntra & Flipkart catalogue

Ethnic wear sellers on Myntra and Flipkart often manage catalogs of hundreds of SKUs — seasonal collections, festival drops, bridal ranges — where each garment needs a compliant on-model image in portrait format before it can go live. Pixefit's batch workflow processes entire collections at once. Upload a folder of garment images, set the Indian marketplace on-model preset, and generate a full catalog image set without individual shoot sessions per SKU. Festival and wedding season drops that previously required weeks of studio time now take hours.

Myntra & Flipkart image tips that matter

  • Myntra requires catalog images in portrait orientation. The platform's standard is a 2:3 aspect ratio — taller than wide — which suits full-length garment shots and fills the browsing card correctly. Square or landscape images are penalized in display and may be rejected at the catalogue submission stage.
  • Flipkart Fashion's seller guidelines recommend on-model images for apparel over flat-lays, particularly for ethnic wear and sarees. Listings with on-model primary images consistently receive better placement in category browsing than flat-lay equivalents in the same subcategory.
  • For sarees specifically, Myntra and Flipkart both accept — and prefer — images that show the garment draped and worn, not just folded. The draping style (nivi, Bengali, Gujarati) can be specified or selected from typical styles; showing a standard nivi drape is broadly appropriate for general listing.
  • Both platforms enforce minimum image resolution requirements; listings submitted below the minimum may be rejected or downranked at catalog quality scoring. Pixefit's default Indian marketplace export targets a width of 1080px or greater — sufficient for both platforms' current quality thresholds.
  • White background is mandatory for primary catalog images on both Myntra and Flipkart apparel categories. Lifestyle images are accepted in secondary positions and in brand store pages, but the main listing image that appears in search results must be a white-background on-model shot.
Examples

What you can generate.

  • Myntra-format catalog image generated for a cotton kurta — on-model, white background, portrait ratio.
  • Flipkart Fashion on-model image for a banarasi saree — drape and fall visible, white background, catalog-compliant.
  • Bridal lehenga catalog image for Myntra — full set with dupatta, on-model, ready for the listing's primary image slot.
FAQ

Myntra & Flipkart — FAQs

What image format and ratio does Myntra require for product listings?

Myntra requires catalog images in portrait orientation, with a 2:3 aspect ratio as the standard for apparel listings. Images should be on a white background for the primary catalog shot. Minimum resolution requirements apply; Pixefit's Myntra preset exports at compliant dimensions with the correct ratio and background automatically.

Does Flipkart require on-model photos for ethnic wear listings?

Flipkart Fashion strongly recommends on-model images for apparel, including ethnic wear categories like kurtas, sarees, and lehengas. Listings without on-model primary images tend to receive lower catalogue quality scores and reduced search visibility compared to equivalent on-model listings in the same subcategory. On-model is effectively the competitive baseline for serious sellers.

Can I use AI-generated on-model images on Myntra and Flipkart without a real photoshoot?

Yes — both platforms evaluate catalog images against their quality and compliance specifications, not against how those images were produced. AI-generated on-model images that meet the background requirement, aspect ratio, and resolution standards are accepted for listing. Sellers use Pixefit to generate their full Myntra and Flipkart catalogs without a single studio day.

Generate your Myntra and Flipkart catalog images free — upload any ethnic wear flat-lay and get a marketplace-ready on-model shot in under two minutes.

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