How to Create Jewelry Product Photos for a Marketplace

Small scale magnifies errors: AI may smooth stone facets, change link count, or shift metal color. Buyers compare photos to items in the parcel—tone or length mismatch drives returns. Main images on Kaspi, Wildberries, and Ozon often need neutral backgrounds without distracting text or foreign logos. Vitrina AI helps prepare files; sellers own final truth.

Hard flash creates spots that were not on the real piece. Semi-transparent stones and glass inserts may turn matte or oversaturated. Sets—earrings plus necklace—must show the exact bundle without invented pieces. Read current jewelry category image help—it updates without loud announcements.

Video and Reels from photo are in development; rely on verified static frames for now. Do not publish video if the feature is unavailable in your Studio version. Honest simple cards beat glossy frames with wrong stones. Store originals per SKU for disputes.

Shoot in diffused light—curtained window, softbox, or dual side sources without direct flash into stones. The product should fill the frame; do not clip tassels, clasps, or chain ends. Capture front, profile, stone macro, and clasp close-up even if only one AI frame becomes main.

Avoid warm lamp light on gold—AI may push warmth further. For silver add a reflector to keep texture without blue blowout. Use gloves or clean stands to limit fingerprints on polished metal before processing.

Do not use supplier photos without commercial rights. Save multiple exposures when needed—pick the best for generation instead of reshooting late. For Kaspi, tie visuals to warehouse stock and description. Weak sources make AI invent facets that do not exist.

Pick jewelry or exact product card mode—more conservative than lifestyle for detail retention. Generate at least two variants; compare to the original on a monitor. White or light gray backgrounds are usually safer for marketplace main images. Lifestyle can live in extra slots or social if the product stays recognizable.

Treat background removal and replacement as separate steps with edge checks between them. No fake brands or invented awards on main images. Define who may upload after QA. Vitrina AI does not guarantee moderation acceptance.

When updating collections, copy workflow—not unchecked presets. Spot-check every fifth SKU in bulk. Regeneration beats reviews citing wrong metal color. AI remains draft until your checklist passes.

Compare stone count, cut shape, size, and color to source and shelf sample. Metal must not shift—rose gold should not become yellow, silver should not become steel. Chains need intact links without breaks, doubles, or melted segments. Clasps, hooks, and ear wires must match position and shape.

Zoom cutout edges on thin elements and pendants. Phone review misses issues buyers see enlarged. Archive before/after per SKU. Reject on any stone or metal doubt.

Second reviewer helps catch extra AI glare. For sets, match bundle to description. Do not retouch away scratches that exist on the shipped item—that misleads buyers.

Kaspi requires honest product correspondence—read current image help. Wildberries values unified catalog style across a jewelry line. Ozon benefits from macro, profile, and occasional on-model scale frames. Export cabinet-ready resolution and aspect ratio.

Typical failures: prettier AI stones than reality; clipped chains on main; supplier watermarks; bulk upload without per-SKU QA. Monthly, review returns citing wrong color—visuals are often the cause.

Update photos when factories or stone batches change. Link white background and exact product card guides. Vitrina AI is independent—not a marketplace partner.

Publishing the first variant without source comparison leads mismatch complaints. Shooting on mirrors without controlling reflections amplifies AI artifacts. Description promises materials not visible in photos. Ignoring main-image rules for jewelry categories.

Poor lighting makes AI invent stone edges. Bulk generation without spot checks spreads systematic errors. Copying visuals across marketplaces without local rule checks.

One hour of QA beats return clusters on bestsellers. Train marketplace staff on jewelry checklist basics. Honest neutral cards outperform risky gloss with the wrong piece.

Macro sources and cutout checks do not scale by skipping zoom review—batch exports, not batch approval. Keep high-resolution masters; downscale per marketplace only after QA on the master.

Multi-piece sets need each component photographed and verified—AI must not invent stones, clasps, or chain links. When listing on Kaspi, Wildberries, and Ozon, re-run metal tone and edge checks after compression.

Quarterly, compare live cards to warehouse samples for top SKUs. Update internal checklists when platforms change jewelry image help. Publication responsibility stays with the seller.