Fashion Photos Built for Myntra's 3:4 Canvas
Drop an apparel, footwear, or accessory shot and get a 1500x2000 portrait JPEG on pure white — sized to Myntra's fashion-first spec and ready for the Seller Centre upload flow before the next EORS window.
Try It Now - FreeWhy Myntra Fashion Sellers Use This
Portrait 3:4, Not Square
Myntra is the India marketplace that locks the apparel canvas to 3:4 portrait. The preset centers the garment on a 1500x2000 white frame so cross-listed 1:1 shots from Flipkart or Amazon don't land cropped at the shoulders or feet.
Pure White That Passes Color QC
The canvas snaps to true RGB (255,255,255) so a slightly cream DSLR shot doesn't trip Myntra's color-cast check. Soft natural shadow under the subject stays in place — what QC reviewers expect from a flat-lay or ghost-mannequin frame.
Under 1 MB JPEG, No Sign-Up
Export compresses to JPEG under the 1 MB mobile-optimised cap Myntra guides toward, with sRGB colour and 80-90% product fill. Free download, no account, no watermark, HD file straight to your phone or laptop.
From Studio Shot to Myntra Upload
Upload Your Fashion Shot
Start with a live-model, ghost-mannequin, or flat-lay photo. JPEG, PNG, WebP are all accepted. Raw DSLR exports and phone-camera shots both work, including older Android devices.
3:4 Portrait Canvas Auto-Locked
The editor swaps the background for pure white and places the subject on a 1500x2000 frame. You can nudge the model's head-to-toe framing before export — fit 80-90% of the frame, no limbs cropped.
Upload to Myntra Seller Centre
Download the JPEG and upload through Myntra Seller Centre or your catalogue management tool. Front, back, side, and detail angles all reuse the same preset for a visually consistent SKU.
Built for Fashion Catalogue Workflows
EORS Catalogue Crunch
Winter EORS in January-February and summer EORS in June-July double the overnight image volume. A locked 3:4 preset lets a Tirupur or Ludhiana supplier batch through hundreds of SKUs without the re-crop loop.
Private Label vs Third-Party Brands
Myntra's own labels like HRX and Roadster follow tighter styling rules than third-party brands. The preset keeps both lanes on a matching 1500x2000 white canvas so the same seller team can cover both.
Cross-List from Flipkart and Ajio
Sellers already on Flipkart (1:1) and Ajio (mixed) need a portrait re-export for Myntra. The tool re-centers the subject on 3:4 without chopping the garment or forcing a full re-shoot.
Boutique and D2C Brands on Myntra Insider
Indie brands pitching Myntra Insider Silver and Gold buyers need polished, catalogue-grade primaries. A consistent white-canvas look across every new SKU reads as a serious brand to the Myntra curation team.
Myntra Fashion Photo Specs and the QC Pipeline
Myntra is India's largest fashion-first marketplace, owned by the Flipkart Group but run on a separate seller experience with its own Seller Centre, QC pipeline, and image rules. The defining spec is 3:4 portrait — 1080x1440 minimum, 1500x2000 recommended, 2000x2000 or larger for flagship End Of Reason Sale catalogues. This single difference from Flipkart's 1:1 square is the reason cross-listed fashion sellers lose a full day re-cropping for Myntra the first time they try to reuse an Amazon.in or Flipkart catalogue. Primary images must sit on pure white (or a soft neutral for accessories and jewellery), the garment or subject fills roughly 80 to 90 percent of the frame, and apparel main images are expected to be shot on a gender-matched live model with a natural pose. Ghost mannequin is tolerated in select sub-categories but live-model framing is the standard Myntra QC reviewers reward, and a size chart is a non-negotiable gate on apparel and footwear catalogues across the entire platform.
The tool mirrors those specs exactly so you don't spend an evening inside a generic image editor tweaking RGB values. Upload an apparel, footwear, or accessory shot and the subject lands on a 1500x2000 portrait canvas locked to pure white, with 80 to 90 percent frame fill and a soft natural shadow under the feet or base. The JPEG export stays inside the mobile-optimised file-size range Myntra's community guidance cites, which matters because Myntra's buyer base shops from phones on tier-1 and tier-2 city networks where a heavy 5 MB hero image hurts load time on the product detail page. The same master also re-crops cleanly to the 1:1 square that Flipkart and Ajio mainstream accept, so a single well-framed shoot now covers the three-way India fashion fan-out sellers already rely on during EORS, the Big Fashion Festival, and the year-end New Year Drop. No sign-up, no watermark, HD download — the preset fits the workflow, not the other way round.
Why 3:4 Portrait Decides Myntra QC
Myntra's QC is stricter at the catalogue level than Flipkart's, and the two rejection reasons sellers hit most often are wrong aspect ratio and near-white (rather than true white) backgrounds. A 1:1 Amazon-style primary uploaded to Myntra lands with the model's head or feet clipped, which reads as a cropped-beyond-frame reject in the Myntra QC queue. A purpose-built 3:4 preset avoids that loop entirely — the canvas is portrait by default, the subject is centered with room at head and feet, and the white is pure RGB (255,255,255) rather than the cream a phone camera tends to produce under indoor lighting. That distinction is the difference between a first-try QC pass and a re-submission 48 hours later during the EORS catalogue crunch, when every hour of delay costs ranking in the pre-sale discovery feed.
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Myntra Seller FAQ
What size do Myntra fashion photos require?
Does Myntra require model photos for all apparel?
How do Myntra Insider benefits affect my photo strategy?
Ship a Myntra-Ready Photo in Under a Minute
Free, no sign-up, built for the 3:4 portrait spec and EORS catalogue pace that Indian fashion sellers already know.
Start Using ToolQuick reference: Fashion Photos Built for Myntra's 3:4 Canvas
- Tool URL: removebackgrounds.ai/myntra-product-photos/
- Free: yes — no signup, no watermark
- Output: JPEG — 1500×2000 (3:4)
- Best for: EORS Catalogue Crunch
- Last updated: