Trendyol Product Photos: Size, Shooting Rules and Preparing Them with AI

The reason “Trendyol product photo size” is searched so often is simple: an image uploaded at the wrong size or on the wrong background is rejected and the product does not go live. Marketplace rules are similar but not identical, and they change from time to time. This article does not make you memorise the rules — it tells you where to verify them — and explains how to prepare photos that meet them.

Where to verify the rules

Size (pixels), aspect ratio, file format, maximum file size, the white/light background requirement for the first image, the ban on text/logos/watermarks on images, model usage — all of these are written, and kept current, in each marketplace’s seller panel and help centre. For Trendyol, see the Trendyol Partner help pages; do not copy figures from another article, they may be stale. If the same product also goes on Hepsiburada, Amazon or your own site, take the strictest rule as the base and prepare once; the others derive from that file.

What is universal: first image on a clean plain background, product filling most of the frame, no text on it, square or portrait ratio.

Shooting setup: even with a phone

1. 01
   Background: white paper or fabric, no creases. Even if AI will whiten it later, a clean start makes the job easier.
2. 02
   Light: by a window, no direct sun; fill the opposite side with white card. Soft shadows.
3. 03
   Angles: front, side, back, detail (stitching, sole, fabric, stone). For shoes the sole and inside; for modest fashion the drape and closure detail; for jewellery the stone and clasp.
4. 04
   Scale: a reference (hand, ruler) beside the product only in an extra image; the first image shows the product alone.
5. 05
   Model: in apparel, showing the product worn raises sales; read the platform’s model rules (face, pose, children’s products) on the help page.

The detailed method is in creating product photos with AI, for jewellery in jewellery photography, for furniture in furniture photography.

The white-background job

The “white/light background” marketplaces want for the first image is achieved for most products by background replacement: the product is preserved, the background is whitened, a soft shadow is kept. Free tools suffice for one product; for five hundred products you need batch processing, and every image’s edge cut must be checked — hair, fur, sheer fabric and chains are the areas that break most.

Bulk preparation with AI

The workflow for catalogue-scale work:

1. 01
   Clean reference shoot (the setup above).
2. 02
   Background removal and white background — in batch.
3. 03
   Edge and shadow check — one by one. Skip this and fixing rejected images individually takes longer.
4. 04
   Extra images: staged/lifestyle image (positions 2–5), size chart image, detail crops.
5. 05
   Resizing and export: to the platform’s pixels and format, file named by product code.
6. 06
   Final look before upload: is the colour identical to the reference, is the logo/label legible?

This workflow can be partly automated with n8n; image automation with n8n describes an example.

Showing the product as it is

Marketplace return rates depend on how faithful the image is to the product. A product “improved” by AI that does not match the parcel brings returns and negative reviews. Rule: in the sales image the product is preserved pixel for pixel; only background and scene are generated.

Sufitware’s product image service runs bulk preparation to marketplace rules together with the checklist; the footwear, modest fashion and jewellery sector pages show examples. Write your product count and target marketplaces in the brief form and we will say which operations each image needs.