Every garment hangs, drapes, and photographs differently. CatalogX turns a flat-lay phone photo into a photorealistic on-model catalog image in about 30 seconds — with fit rules written for the specific garment you sell. Pick your category below.
Not sourcing. Not listing. The gap between "the stock arrived" and "the listing is live" is almost always the photoshoot.
Ask any seller on Meesho, Flipkart, Myntra or Amazon.in what slows down a new drop and the answer is rarely the product. Stock arrives, the pricing is decided, the description takes twenty minutes. Then everything stops, because the listing needs on-model photos and getting on-model photos means booking a studio, booking a model, arranging a stylist, steaming forty garments, shooting for a day, and waiting a week for retouched files. By the time the images land, the trend that made the design worth buying has already moved on.
That is the bottleneck CatalogX was built to remove. You photograph the garment the way you already do — flat on a bedsheet, on a hanger against a wall, or on a mannequin in the warehouse — and the AI generates a photorealistic image of a model wearing it. No shoot day, no call sheet, no reshoot when one SKU was missed. The generated image comes back in about 30 seconds, and if the pose or background is wrong you generate another one instead of rebooking a studio.
What matters, and the reason this hub is split by garment rather than being one generic page, is that a single "put clothes on a model" model is not good enough for a real catalog. Clothes are not decals. A saree is six yards of fabric whose pleats have to stack at the waist and whose pallu has to fall over one shoulder with the right weight — get that wrong and the image reads as fake to anyone who has ever worn one. A lehenga needs genuine flare through the skirt and a dupatta that behaves like a separate piece of cloth. A straight-cut kurti should fall straight while an anarkali flares from the yoke, and rendering both the same way makes half your catalog look wrong. A men's kurta needs a male model, correct shoulder width, and a length that sits where the garment actually sits. A blazer lives or dies on shoulder structure and lapel roll. Jeans need a believable rise, a correct waist, and the right break at the ankle. A t-shirt has almost no structure at all, so the only things carrying the image are the print placement and how the fabric skims the body.
So CatalogX applies garment-specific rules, and each page in this hub documents what those rules do for that garment: what the AI is looking for in your input photo, which styles and cuts are handled, how to photograph the piece so prints and embroidery carry over cleanly, and what the finished images look like for that category. They are written to be read before you upload, not after you are disappointed with a result.
Underneath the garment-specific detail, the workflow is identical across all ten pages, and it is worth understanding once:
If you sell across more than one category — and most Indian sellers do — read the page for whichever garment dominates your catalog first, then skim the rest. The workflow will already be familiar; only the fit rules and the photographing advice change. Curious about plans and credits before you start? Everything is laid out on the pricing page, and you can generate your first images without setting anything up.
Ethnic wear, western and casual wear, and menswear. Each page covers the cuts, the input photo, and the finished result for that garment.
Drape, flare and dupatta behaviour are what make ethnic wear hard to render — these pages cover how each one is handled.
Six yards rendered with correct pleats, waist stacking and pallu fall — from a single flat-lay or hanger shot.
Read the saree guide →Straight-cut, A-line, anarkali, high-low and kurti sets, each falling the way that cut actually falls.
Read the kurti guide →Full skirt flare, choli fit and a dupatta that drapes like separate cloth — with embroidery detail intact.
Read the lehenga guide →Stitched or unstitched suit sets shown as a complete look — kameez fit, bottom and dupatta together.
Read the salwar suit guide →Less drape, more structure and print fidelity — fit at the shoulder, waist and hem is what sells these listings.
Graphic placement, print scale and how a tee skims the body — regular, oversized and fitted.
Read the t-shirt guide →Collar shape, placket line, cuff and sleeve length rendered cleanly for formal and casual shirts.
Read the shirt guide →Rise, waist and ankle break for skinny, straight, bootcut and wide-leg — plus wash and distressing detail.
Read the jeans guide →Bodycon, A-line, maxi and wrap dresses, each with the silhouette and hemline that style is meant to have.
Read the dress guide →Male models, correct shoulder width, and the structured tailoring that menswear listings are judged on.
Kurtas and kurta-pyjama sets on an Indian male model — fit, length and drape all visible in one frame.
Read the kurta guide →Shoulder structure, lapel roll and button stance — the three things that make tailoring look real.
Read the blazer & suit guide →Whichever category you sell in, the workflow does not change — only the fit rules behind it do.
A flat-lay, hanger, or mannequin photo from any phone. The AI reads the cut, print, neckline, sleeves and fabric.
Choose an Indian model, set the pose and angle, then pick studio white for listings or a lifestyle scene for social.
Meesho, Flipkart, Myntra, Ajio and Amazon.in presets output the exact size and framing each platform requires.
AI product photography generates a photorealistic image of a model wearing your garment from a photo you already have — a flat-lay, hanger, or mannequin shot taken on a phone. There is no studio booking, no model call sheet, and no shoot day. With CatalogX the generated image is ready in about 30 seconds.
Because garments do not behave the same way. A saree needs pleats and a pallu that fall correctly, a lehenga needs flare, a blazer needs shoulder structure, and jeans need a rise and break at the ankle. Each guide explains what the AI does for that specific garment and what to photograph before you upload.
Start with the category that makes up most of your catalog. Ethnic sellers usually start with sarees, kurtis, lehengas or salwar suits. Western and casual sellers start with t-shirts, shirts, jeans or dresses. Menswear sellers start with kurtas or blazers and suits.
No. A phone camera is enough. Lay the garment flat in even daylight, keep the full garment inside the frame, and avoid heavy shadows and creases. The cleaner the input photo, the more faithfully prints, embroidery and fabric texture carry over to the on-model result.
Yes. Export presets for Meesho, Flipkart, Myntra, Ajio and Amazon.in output the dimensions, framing and background each platform expects, so you can upload without looking up an image spec.
Upload one garment and see the result for yourself before you read another word.