If Nykaa is India's most curated beauty-and-fashion marketplace, Myntra is its most demanding fashion one. It is the country's leading dedicated fashion platform, serving tens of millions of monthly active users, processing lakhs of orders a day, and commanding a substantial share of India's online fashion market. For an apparel brand, a garment manufacturer, or a D2C label, it is close to unavoidable.
It is also, by a clear margin, the strictest marketplace in India when it comes to product photography — and that is the single thing most new Myntra sellers underestimate. Where Amazon asks for a clean white background and Meesho will accept a decent flat lay, Myntra effectively mandates on-model imagery for most apparel categories, in a specific 3:4 portrait aspect ratio, with a defined slot-by-slot image order and a quality-control team that rejects listings for reasons that look trivial on paper.
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What are Myntra's product photography guidelines?
Myntra requires apparel images in a 3:4 portrait aspect ratio, commonly cited at a minimum of 1500 x 2000 pixels, in JPEG or PNG format, with a minimum of around five images per SKU. For most apparel categories Myntra requires on-model imagery — a real, gender-matched, full-length model. Headless or cropped-above-the-shoulder primary shots and visible mannequins are generally not accepted, and simple flat lays are frequently rejected for clothing. The standard five-slot structure is front on-model, back on-model, side or three-quarter, fabric detail, and a styled look shot. Because Myntra is model-mandatory, AI model photography tools like Studiofy have become a practical route to Myntra-standard imagery without a per-SKU photoshoot.
Myntra, owned by the Flipkart Group, is India's leading dedicated fashion and lifestyle marketplace. The scale figures reported across industry sources are substantial: on the order of 60 million-plus monthly active users, roughly five lakh orders processed daily, and a commanding share of India's online fashion market. Average order values are commonly cited around the Rs 700 mark.
The audience arrives with fashion intent — people open Myntra specifically to buy clothes, footwear, and accessories, and that intent converts unusually well for a well-catalogued brand
Discovery is visual and curation-driven — Myntra leans on visual storytelling and style-based recommendation. Brands with strong, complete, on-model imagery get disproportionate visibility
Being on Myntra confers credibility — Myntra vets brands and enforces a high catalogue bar. Clearing it signals quality to buyers — and to your other channels
The catch is that all three of these advantages are gated behind the same thing: your images.
Myntra runs a selective, brand-first onboarding process. It is not an open marketplace, and it does not permit individual or unregistered sellers. A registered business entity is mandatory (sole proprietorships, partnerships, LLPs, and private limited companies are accepted), a valid GSTIN is mandatory, and you need either brand ownership via a trademark certificate or a brand authorization letter, plus a current account in the business name.
Begin your registration on Myntra's official portal — never a third-party registration link.
Name, contact details, business email, GSTIN, business type, and the categories you intend to sell. Every field is cross-checked against your documents, so accuracy matters.
Typically GST certificate, PAN, trademark certificate or brand NOC, and a cancelled cheque. Some sellers are asked for a brand logo and sample images.
Myntra evaluates brand authenticity, category fit, and ecommerce readiness. Thin SKU counts and weak catalogue presentation are common rejection reasons.
Verification commonly takes 7-15 working days. Choose your fulfilment model, then build and upload your catalogue — images, size charts, descriptions, attributes, and pricing.
Myntra does not publish a fully public, first-party image spec sheet — the specifications below are reconstructed from what catalogue-integration providers, Myntra-focused studios, and experienced sellers consistently report. Sources genuinely conflict on some figures; always confirm against your own Partner Portal category sheet before you shoot or generate anything.
If you take one thing from this section: plan your capture — or your AI generation — at 3:4 from the very start. Submitting a 1:1 square, even at full resolution, is one of the most commonly reported rejection reasons on the platform.
On-model imagery is required for most apparel — simple flat lays are frequently rejected outright for clothing. Myntra's editorial direction is explicitly on-model-first
Models must be gender-matched — women's wear on a female model, men's wear on a male model, kidswear on an age-appropriate child model
Full-length, headed shots — headless or cropped-above-the-shoulder images are generally not accepted in the primary slot
Visible mannequins are prohibited — ghost mannequin is tolerated in some category sheets but disfavoured for mainstream apparel
Model consistency across images is enforced — all images for a single SKU are expected to look like they came from the same shoot; different-looking models between plates get flagged
Slot 1 — Front on-model — the hero. Gender-matched real model, full-length, standing, neutral pose, garment clearly visible front-on, soft even lighting
Slot 2 — Back on-model — same model, matched framing, back to camera. Shows construction, yokes, vents, zips, and back neckline detailing
Slot 3 — Side or three-quarter — shows fit and drape from an angle the front and back cannot communicate
Slot 4 — Fabric or trim detail — a close-up that communicates material quality, weave, print detail, embroidery, buttons, or trim
Slot 5 — Styled look shot — a contextual, styled image showing the garment as part of a complete look — the slot that differentiates a brand from a bare-minimum seller
Kurtas and kurtis — front and back on-model shots are mandatory; if a dupatta is included, it must be shown in at least one image
Sarees — the full six-yard drape must be visible in at least one image; if a blouse is included, it must be shown
Lehengas — all three pieces — skirt, blouse, and dupatta — must appear in at least one image
Jeans and trousers — belt loops must be visible, and waistband styling matters in the primary shot
Activewear and athleisure — poses need to communicate stretch, movement, and fabric performance
Innerwear and nightwear — these carry specific compliance requirements, and ghost mannequin is more commonly accepted here
The honest position: sources genuinely conflict, and Myntra has not published a clear, first-party public policy. What is not in dispute is the rule that actually governs the outcome — Myntra's QC checks the image, not the method. The specifications, the model rules, the background, the colour fidelity, and the cross-image consistency are enforced the same way whether an image came from a studio or a generator.
Verify current policy in your own Partner Portal category sheet — do not take any third-party guide's word for it, including this one
Garment fidelity is non-negotiable — the generated image must faithfully represent the actual product — real colour, print, texture, weave, and trim
Respect the model rules — gender-matched, full-length, headed, conventional pose, correct background, 3:4
Keep the model consistent across a SKU's images — identity drift between plates is a real and commonly cited rejection reason
This is exactly how Studiofy is built to be used — it preserves your actual garment's colour, print, and texture and places it on a photorealistic model, rather than reinventing the product. Used with discipline, AI-generated on-model imagery is a legitimate route to Myntra-standard visuals.
A flat lay, hanger shot, or ghost mannequin image works as the input. Steam the garment, light it evenly, and shoot it accurately — the source photo determines how faithful your output is.
Choose a model appearance appropriate to the garment's category and Myntra's gender-match rule. Keep your selection consistent across every image you generate for the same SKU.
Studiofy produces photorealistic on-model imagery preserving your garment's real colour, print, and texture, in the vertical format Myntra's mobile-first layout requires.
Using the same product image, generate a 6-second or 8-second product video — upload the image, write a custom prompt, set the aspect ratio and duration, and generate.
Assemble front on-model, back, side, detail, and look-shot images; check aspect ratio, background, colour accuracy, and model consistency; then upload.
Wrong aspect ratio — Submitting square or 4:5 instead of 3:4 — the most commonly cited single rejection reason.
Wrong background shade — Off-white, warm-toned, or textured backgrounds outside Myntra's expected range. A background tuned for Amazon may not pass Myntra.
Missing model shots or flat lays for apparel — Flat lays are frequently rejected outright for clothing categories.
Model inconsistency across a SKU's images — A different-looking model between plates gets flagged as model inconsistency.
Colour mismatch with the actual product — Often caused by incorrect white balance, wrong colour profile on export, or poor lighting.
Wrinkles and poor garment preparation — A creased kurta fails quality review no matter how good the photography is. Steam every garment.