Product Photos for Kaspi: Visual Prep, AI Drafts, and Manual Review

The main image should show the real product without misleading effects, foreign logos, or aggressive infographic overlays on the item itself. Kaspi shoppers compare visuals to delivery photos and reviews—mismatch quickly becomes returns and store distrust. Unified catalog style helps large assortments from mixed suppliers look professional. Open current Kaspi image help—rules change and Studio does not receive separate update notices.

Main image does not replace description: bundle, warranty, size, and material must match what buyers see. For many categories a neutral or white background is safer than creative scenes that hide scale. AI accelerates that frame but does not promise first-attempt approval. Sellers remain responsible for product, visual, and warehouse alignment.

New sellers can start with a simple honest product shot and expand the gallery as assortment grows. Do not use supplier photos without commercial rights—account risk exceeds one rejection. Match main image to shelf samples before large uploads. Honest neutral cards outperform glossy wrong-color frames.

Use diffused light—curtained window, softbox, or dual side sources without harsh flash into the lens. The product should fill the frame with readable edges and no clipped parts, cords, lids, or other-brand packaging. Plain gray, beige, or white backdrops reduce cutout errors. Capture front, profile, key detail macro, and bundle shots when needed.

Add reflectors on dark items to preserve texture. Minimize mirror glare on shiny goods—it intensifies during AI processing. Store originals per SKU with batch and color notes for disputes. Avoid blurry messenger-compressed files—AI invents missing detail.

Fix a simple shoot zone on the warehouse floor: table, backdrop, light, phone tripod. Train managers on basic framing—not every SKU needs a designer. Cleaner sources mean fewer post fixes and fewer moderation surprises. Weak captures make models improve shapes that are not in the box.

Choose exact product card or white background—more conservative than lifestyle for shape retention. Generate at least two variants; compare on a large screen before export. Kaspi main images are often safest on neutral backgrounds; lifestyle can support extra slots or social. Vitrina AI does not guarantee Kaspi acceptance and is not an official partner.

When using white background, inspect cutout edges separately—fur, chains, transparent packaging, and thin parts fail often. No fake brands or invented awards on main images. Define who may upload after QA so errors do not spread through the catalog.

Reels and video from photo are in development—build listings on verified static images for now. Do not publish video if unavailable in your version. Regeneration from a better source beats reviews about wrong color. AI output is draft until your checklist passes.

Compare shape, color, pattern, hardware, logos, labels, and bundle to source and the physical unit on the shelf. Use monitors or tablets—phones hide tone shift and edge defects. For sets, confirm photo, description, and box contents align. Reject drifting details—buyers notice faster than teams expect.

Check proportions—angled sources may compress or stretch items in AI. Shadows must not fake different size or stands. Save before/after screenshots per SKU for return investigations. Spot-check every fifth SKU during bulk uploads.

Align copy with visuals—do not promise bundles absent from photos. Update images when suppliers or batches change color or hardware. Second reviewers catch stray AI additions. Export only after the checklist passes.

Main image drives the first click; buyers still need detail, profile, bundle, instructions, or scale cues. Put size charts and feature callouts in separate slots when Kaspi rules allow—verify before placing text on main. AI can unify extra angles from one source if each frame stays truthful.

Electronics need ports, screens, and cable bundle shots—capture before AI processing. Home goods may need scale references when size is non-obvious. Avoid stock people or interiors without rights. Keep high-resolution masters; upload cabinet-sized exports.

Align Kaspi ads and social posts with the card—divergent banners hurt conversion. Monthly, review top returns citing not as pictured—visuals are a frequent driver. Document which source matches which warehouse batch.

Uploading the first AI variant without source comparison—leading return cause. Using watermarked supplier photos—block risk beyond one card. Aggressive lifestyle main images that hide size and material. Bulk generation without spot checks spreads one error across the catalog.

Copy promising more than photos show. Ignoring updated Kaspi image rules from prior seasons. Poor lighting makes AI invent hardware and texture. Expecting AI to pass moderation automatically—responsibility stays with the seller.

Schedule QA in SKU launch calendars like pricing. One hour of control beats return batches on hits. Train marketplace managers on the checklist. Link white background, review-before-publish, and improve-without-photographer guides.