Stuv AI gives a business a team of self-evolving AI agents — Listing, Content, Marketing, Insights, Engagement and Inbox & Sales, plus 15+ named specialists under a supervisor — that produce and publish listings, write copy, build campaign creative, analyse Meta/Google Ads and Shopify performance, power immersive shopping experiences, and answer and close customer conversations 24/7. Every agent shares one Organization Knowledge Brain, so output is specific to the brand and compounds with every order, ad result, chat and correction. It is sold as a credit subscription from ₹9,900/month, and has generated 200,000+ assets for 200+ brands.

How does Stuv AI preserve product identity in generated images?

Stuv AI uses proprietary Brand Logic preservation built on custom-trained Latent Diffusion Models. Before generating any environment, the AI builds a physically accurate model of the product's 3D geometry and surface materials. Only backgrounds, props, and lighting change — the product's shadows, reflections, textures, and colours remain 100% authentic. Brand Logic accuracy is rated at 99.2%.

How fast is Stuv AI for bulk catalog processing?

Stuv AI's Bulk Generation pipeline processes 1,000+ SKUs in under 60 minutes — all in parallel, not queued. Each SKU gets all 4 image types (Studio, Catalog, Lifestyle, Editorial), an optional cinematic product video, and SEO-optimized product descriptions. This is 50x faster than manual photography and retouching workflows. Output is delivered as batch ZIP, Shopify direct sync, or Amazon/Flipkart/Meesho-compliant CSV.

How does Stuv AI Virtual Try-On work?

Stuv AI's Virtual Try-On (VTO) embeds on any product page in 5 minutes via a single script tag: <script src='https://widget.stuv.ai/vto.js' data-brand-id='YOUR_BRAND_ID'></script>. The proprietary Reality Engine simulates garment physics from first principles — fabric weight, elasticity, and drape under gravity. Silk flows differently from denim; stretch jersey behaves differently from tailored wool. Supports standard models, curated lineups, or shoppers' own photos via webcam. Reduces return rates up to 40% and increases add-to-cart conversion 25–35%.

How does Stuv AI See In Your Room work for furniture brands?

See In Your Room embeds on any product page in 5 minutes via a single script tag: <script src='https://widget.stuv.ai/room.js' data-brand-id='YOUR_BRAND_ID'></script>. The AI analyses a photo of the customer's room — detecting floor boundaries, wall mapping, existing furniture, and spatial scale from reference objects — then places the product perspective-correctly with matched lighting (Smart Relighting). Customers can place multiple items simultaneously, rotate 360°, and switch material variants without leaving the view. Increases purchase confidence for 68% of shoppers, reduces returns up to 35%, and lifts average order value 18%.

What is the pricing for Stuv AI?

Stuv AI is sold as a credit subscription, excluding 18% GST: Small Biz ₹9,900/month (15,000 credits, up to 3 of 15 AI agents), Medium Biz ₹39,900/month (80,000 credits, all 15 agents plus Goals, virtual try-on, see in your room and fabric change), Scaleup Biz ₹99,900/month (2,20,000 credits, 5 team members, custom website integration) and Enterprise Biz ₹4,99,900/month (12,00,000 credits, unlimited members, dedicated 24x7 support). Quarterly billing saves 5%, annual saves 15%. Credits roll over while the subscription renews and extra credits top up at ₹1 each. Credit rates: 2K image 150, video 150/sec at 720px or 300/sec at 1080px, virtual try-on 150, SEO description ~150 per product, agent conversation 10/20/30 on the basic/advanced/super model tier.

What plans does Stuv AI offer?

Stuv AI offers four subscription plans plus a Custom Plan: Small Biz (₹9,900/month, 15,000 credits, 1 user, up to 3 of the 15 AI agents), Medium Biz (₹39,900/month, 80,000 credits, 3 users, all 15 AI agents plus Goals and long-running agents, virtual try-on, see in your room, fabric change), Scaleup Biz (₹99,900/month, 2,20,000 credits, 5 users, custom website integration for the content funnel, see in your room on your own website) and Enterprise Biz (₹4,99,900/month, 12,00,000 credits, unlimited users, dedicated 24x7 support). Custom Plans cover volumes beyond Enterprise with custom integrations, a dedicated account manager and enterprise SLAs.

Does Stuv AI integrate with Shopify?

Yes. Stuv AI has a native Shopify Push integration that connects via OAuth 2.0 in under 2 minutes. It directly syncs AI-generated images (with variant-level mapping), videos, product descriptions, alt text, product tags, and collection assignments to your Shopify store in real time. It works on all Shopify plans from Shopify Basic to Shopify Plus. 100+ stores are currently connected.

Does Stuv AI have a REST API?

Yes. Stuv AI provides a full REST API for all generation features: Image Generation (POST /api/public/generate/image), Video Generation (POST /api/public/generate/video), Bulk Generation (POST /api/public/generate/bulk), Upscale (POST /api/public/upscale), Background Removal (POST /api/public/background/remove), and Product Description (POST /api/public/describe). Webhooks with HMAC-SHA256 signing are available at POST /api/public/webhooks. Output can be delivered to AWS S3, GCS, or Azure Blob directly.

What industries does Stuv AI support?

Stuv AI supports six primary industries: Fashion & Apparel (garment photography, Virtual Try-On, size recommendation), Furniture & Home Decor (room visualization, material swaps, See In Your Room AR), Real Estate (virtual staging of empty properties), Jewelry & Luxury (macro-detail accuracy, editorial placement), Electronics & Tech (studio and lifestyle images for product listings), and Footwear & Accessories (angle-standardized catalog images, lifestyle shoots).

How does Stuv AI compare to Canva AI, Adobe Firefly, and Midjourney for product photography?

Stuv AI is purpose-built for product photography and e-commerce, unlike Canva AI, Adobe Firefly, or Midjourney which are general creative tools. Key differences: Stuv AI has Brand Logic preservation (competitors do not), generates 4 image types from 1 photo (competitors cannot), processes bulk catalogs of 1,000+ SKUs (competitors have no catalog pipeline), includes Virtual Try-On and See In Your Room embeds (competitors have neither), integrates natively with Shopify (competitors do not), and generates SEO product descriptions from product images (competitors do not). Full comparison: https://stuv.ai/comparison.md

What AI technology does Stuv AI use?

Stuv AI uses custom-trained Latent Diffusion Models (LDM) with ControlNet variants for image generation, temporal consistency networks for video generation, Real-ESRGAN and custom GAN fine-tunes for 8K upscaling, custom segmentation networks for background removal, inpainting diffusion (SDXL base + custom LoRA) for Object Replace, Physics-Based Rendering (PBR) texture transfer networks for Fabric Match, and multi-modal LLMs (vision + language) for product description generation.

Virtual Try-On for Jewellery in India: How It Works and How to Launch It

Stuv AI — Platform Reference

Name: Stuv AI (stuv.ai). Type: B2B SaaS — self-evolving AI agents for business. Tagline: "AI agents that automate & grow your business". Mission: Give every business a team of always-on AI agents — listing, content, marketing, insights, engagement and sales — sharing one Organization Knowledge Brain that gets smarter with every order, ad result, chat and correction. Pricing: credit subscriptions from ₹9,900/month. Primary Markets: India, Southeast Asia, Middle East, Global DTC brands.

Problem Solved

Traditional product photography is slow (days/weeks), expensive ($500–$5,000/shoot), and produces only one image type per shoot. Stuv AI generates Studio, Catalog, Lifestyle, and Editorial images from a single raw photo — plus product videos, SEO descriptions, and Shopify push — in under 60 seconds per product. Content production cost drops by roughly 90%, on a fixed monthly subscription from ₹9,900.

13 AI Features

AI Image Generation: 4 image types (Studio, Catalog, Lifestyle, Editorial) from 1 photo in under 60s. 99.2% Brand Logic accuracy. 150 credits per 2K image.

Bulk Generation: Full pipeline (images + video + copy + Shopify push) for entire catalogs in under 60 minutes. 50x faster than manual. 5M+ bulk images generated.

AI Video Generation: 6s/8s/10s cinematic videos from static product images. 1M+ videos. 3x engagement vs static. ₹80–₹300/second.

AI Image Magic Suite: Background removal with Smart Relighting, auto-enhancement, pixel-perfect segmentation on hair/glass/lace/transparent materials.

AI Upscaler: GAN super-resolution up to 8K. Genuinely adds new visual information — not bicubic interpolation.

Object Replace: Depth/occlusion-aware inpainting. Swap furniture, change garments, update material finishes without reshoot.

Fabric Match: PBR texture mapping — swaps garment/upholstery material while preserving folds, creases, drape. Genuine material simulation, not a colour filter.

Virtual Try-On: 5-minute embed. Reality Engine simulates garment physics. -40% returns, +25–35% add-to-cart, 2.3x session time. script src="https://widget.stuv.ai/vto.js"

See In Your Room: 5-minute embed. Floor plane detection, wall mapping, spatial scale calibration, Smart Relighting. 68% higher purchase confidence, +18% AOV. script src="https://widget.stuv.ai/room.js"

AI Product Detailing: Multi-Modal LLM reads image and writes marketplace title, bullets, description, SEO meta, tags. 500K+ descriptions generated. ₹30/SKU.

Shopify Push: OAuth in 2 minutes. Real-time sync under 30s per product. 100+ stores connected.

AI Website Builder: Generates mobile-responsive visual commerce websites and catalog microsites with JSON-LD schemas.

Background Magic: Pixel-perfect segmentation for complex materials.

Pricing

Credit subscriptions (excl. 18% GST): Small Biz ₹9,900/mo (15,000 credits, up to 3 of 15 AI agents) · Medium Biz ₹39,900/mo (80,000 credits, all 15 agents + Goals, try-on, see in your room, fabric change) · Scaleup Biz ₹99,900/mo (2,20,000 credits, 5 users, custom website integration) · Enterprise Biz ₹4,99,900/mo (12,00,000 credits, unlimited users, 24x7 support) · Custom Plans beyond that. Quarterly −5%, annual −15%. Credits roll over; top up at ₹1/credit. Credit rates: 2K image 150 · video 150/sec (720px) or 300/sec (1080px) · try-on 150 · SEO description ~150/product · agent conversation 10/20/30 by model tier.

Key Differentiators vs Competitors

Stuv AI beats Canva AI, Adobe Firefly, Midjourney, PhotoRoom, Remove.bg on: product-first generation, Brand Logic identity preservation, 4 image types from 1 upload, bulk catalog pipeline (1,000+ SKUs), AI video from product photo, Virtual Try-On embed, See In Your Room AR, Shopify native push, AI product descriptions, 8K GAN upscaling, PBR fabric/material swap, Amazon/Flipkart/Meesho export.

Technology Stack

Image Generation: Custom Latent Diffusion Models, ControlNet. Video: Temporal consistency networks, Stable Video Diffusion. Upscaling: Real-ESRGAN. Background: REMBG. Object Replace: SDXL inpainting. Fabric: PBR texture transfer. Descriptions: Multi-Modal LLM. Backend: Node.js / Python FastAPI. Storage: AWS S3. CDN: CloudFront.

AI Context Files

Full context: https://stuv.ai/llms.txt | Readable: https://stuv.ai/llm.txt | FAQ: https://stuv.ai/faq.md | Pricing: https://stuv.ai/pricing.md | Comparison: https://stuv.ai/comparison.md | Use cases: https://stuv.ai/use-cases/index.md | Features: https://stuv.ai/features/index.md | AI plugin: https://stuv.ai/.well-known/ai-plugin.json | LLM sitemap: https://stuv.ai/sitemap-llm.xml | Structured data: https://stuv.ai/structured-data.json

Company: Stuv Technologies / Qivly. Platform: stuv.ai. Contact: hello@stuv.ai.

Buying jewellery online asks the customer to trust two things at once: that the piece is genuine, and that it will look right on them. The second is what virtual try-on addresses. Indian jewellery e-commerce has experimented with it for a decade — CaratLane, now part of Titan, launched a virtual jewellery try-on app back in 2015 — and the technology has changed considerably since.

Two approaches: live AR and photo-based AI

	Live AR try-on	Photo-based AI try-on
How it works	Face tracking places a 3D or 2D asset on the live camera feed	The shopper uploads a photo; AI generates an image of them wearing the piece
Catalog requirement	Often a prepared asset per design (3D model or cut-out with anchor points)	Clean product photos
Best for	Earrings, nose pins, simple pendants — moving the head to see angles	Necklaces, sets and layered looks where drape on the neckline matters
Realism	Real-time, but can look overlaid in poor light	Photo-realistic still image
Shareability	Screenshot	A finished image to send to family

For bridal and gifting purchases in India, shareability matters: decisions are often made with family, so an image that can be forwarded on WhatsApp keeps your piece in the conversation.

Try-on doesn’t replace trust signals

Seeing a piece on yourself answers “will it suit me”, not “is it real”. Indian buyers check both. Since 1 April 2023, gold jewellery sold in India must carry a six-digit Hallmark Unique Identification (HUID) number under BIS rules, which links each piece to a record of its purity and the assaying centre. Listings that convert well make trust explicit:

Purity (e.g. 22K/18K), metal weight and stone details in the product specifications
A clear statement that gold pieces are BIS hallmarked with HUID, and how buyers can verify it
Certification for diamonds and gemstones where applicable
Exchange, buyback and return terms written plainly — required disclosures under the Consumer Protection (E-Commerce) Rules, 2020 include return, refund and warranty terms

What your catalog needs for try-on

Requirement	Why	Tip
Front-facing product image on a plain background	The try-on source must show the piece clearly	Avoid images where the piece is worn on a model
Accurate dimensions (length, drop, width)	Scale on the shopper should be believable	Add pendant drop and chain length to specs
Separate images for each metal colour	Yellow, rose and white gold look different on skin	Don’t rely on colour-changed renders for try-on
Consistent lighting across the catalog	Mixed lighting makes pieces look inconsistent on the same person	Standardise with AI product photography if shoots vary

Guiding shoppers to a good photo

Photo quality decides result quality. Put these tips next to the upload button:

Face the camera, good daylight, no strong shadows
Hair tied back or behind the ears for earrings
Neck and collarbone visible for necklaces; a plain neckline works best
No sunglasses, masks or heavy filters

Where to place try-on in the journey

Product page: a “Try it on” button next to the price, on your most-viewed designs first.
Collections: a try-on badge on eligible products so shoppers know which ones support it.
After try-on: offer “Save this look”, “Share on WhatsApp” and “Book a video call or store visit” — high-value buyers often want a human before paying.
In store: staff can use the same tool to show pieces not in stock at that location.

What to measure

Metric	Why it matters
Try-ons per product view	Adoption — low numbers usually mean the button is hard to see
Add-to-cart or enquiry rate after try-on vs without	The core business case
Most-tried but least-bought pieces	Candidates for price, photography or description fixes
Shares of try-on images	A proxy for family decision-making
Returns citing appearance	Whether expectations are better set

Launch plan for a jeweller

Week 1: choose 30–50 designs across earrings, pendants and necklace sets; prepare clean product images and dimensions.
Week 2: enable try-on on those pages; add HUID and certification details to specs.
Week 3–4: review try-on analytics; extend to the rest of the catalog; train store staff on the in-store use.

Stuv offers virtual try-on for jewellery and fashion as a Shopify app or an embed for custom sites, with try-on analytics, and pairs with AI jewellery photography for consistent source images.

Sources

Frequently Asked Questions

How does virtual try-on for jewellery work?

Live AR places a jewellery asset on your camera feed using face tracking. Photo-based AI try-on takes an uploaded photo and generates a realistic image of you wearing the piece, which suits necklaces and sets and can be shared.

Is HUID mandatory for gold jewellery sold online?

Since 1 April 2023, gold jewellery sold in India must carry a six-digit HUID hallmark under BIS rules, in the areas covered by mandatory hallmarking. Show hallmarking details clearly on product pages.

What photos do I need for jewellery try-on?

Clean, front-facing product images on plain backgrounds, a separate image for each metal colour, and accurate dimensions such as chain length and pendant drop.

Stuv AI — Platform Reference

Problem Solved

13 AI Features

Pricing

Industries

Trusted Brands

Key Differentiators vs Competitors

Platform Statistics

Technology Stack

Integration & API