What is AI jewelry retouching and how does it work?
AI jewelry retouching uses machine learning trained on professional jewelry images to automatically clean, enhance, and finalize a jewelry photo without manual editing. NeuroViz's AI was trained on 50,000+ jewelry images covering rings, necklaces, earrings, bracelets, watches, brooches, and loose gemstones. It identifies your piece's metal type, gemstone characteristics, and lighting conditions, then applies professional-grade retouching in under 30 seconds.
How much does AI jewelry retouching cost?
With NeuroViz, AI jewelry retouching costs $0.10 to $0.50 per photo, depending on your chosen retoucher (Precision, Rescue, or Vivid). That's about 90% less than traditional studio retouching, which typically costs $15–$25 per image. Every new account gets 80 free credits — enough to retouch 4 photos with no credit card required.
How is the AI Jewelry Retoucher different from Photoshop or general AI photo editors?
Photoshop and general AI photo editors are built for any product. NeuroViz is built only for jewelry — so it understands how light interacts with gemstone facets, how to render accurate gold and silver tones without color cast, how to clean prong-and-reflection artifacts, and how to balance jewelry-specific lighting. General tools either flatten the piece or fake the sparkle. Our AI gets it right automatically because that's the only thing it was trained to do.
What types of jewelry does the AI Retoucher work with?
All major categories: rings, engagement rings, wedding bands, necklaces, pendants, earrings, hoops, bracelets, tennis bracelets, watches, brooches, cufflinks, and loose gemstones. The AI handles diamonds, sapphires, rubies, emeralds, pearls, opals, and all common gemstones, plus all major metals: yellow gold, white gold, rose gold, platinum, silver, and titanium.
What image formats and resolutions does the AI Retoucher accept?
Upload JPEG, PNG, or WebP at minimum 500×500 pixels — 2000px or larger is recommended for best results. Output is available in JPEG, PNG, or lossless WebP, up to HQ 4K resolution, with custom DPI and aspect ratio options. Backgrounds can be solid white, transparent (PNG), or any custom hex color. Output up to 16 MP (4K) at 300 DPI · lossless PNG, JPEG, or WebP · transparent, white, or custom background · up to 4 variations per run.
Will my retouched jewelry photos look fake or over-processed?
Not unless you want them to. The Precision retoucher is specifically tuned to keep photos looking natural and authentic — improved lighting, cleaner detail, accurate color, but still recognizably your piece. If you want a more dramatic, editorial look, switch to the Vivid retoucher. You control the level of enhancement.
Are my photos and customers' data safe with NeuroViz?
Yes. Your photos are processed in isolation and are never used to train AI models. Zero data exposure. Every retouched image you download includes a full commercial license, so you can use it on Etsy, Amazon, Shopify, Instagram, your website, printed catalogs, and any commercial application without restriction.
Can I retouch my whole jewelry catalog at once?
Yes.
Batch processing lets you upload hundreds of jewelry photos, process them automatically, review quality, resubmit any that need another pass, and download everything as one ZIP with original filenames preserved. For programmatic catalogs, the
NeuroViz API integrates retouching directly into your Shopify, PIM, or e-commerce workflow.
Will the AI distort or fake my gemstones?
No — and you stay in control. Every retoucher has a Retouch Gemstones toggle: leave it on to polish out inclusions and dust, or switch it off to keep the natural stone exactly as it looks in real life. Prong count, facet geometry, and stone shape are preserved — the AI cleans the photo, it doesn't redesign your jewelry. For loose stones, a dedicated Loose Gemstone mode retouches the gem with no metal in frame.
Does NeuroViz offer an API for jewelry retouching?
Yes. The
NeuroViz API lets developers integrate AI jewelry retouching into any app or store, with code examples in cURL, Python, and JavaScript. See the API documentation to get started.
