Stuv AI is a B2B SaaS AI Visual Commerce Platform that transforms a single raw product photo into commercial-quality Studio, Catalog, Lifestyle, and Editorial images, cinematic product videos, and SEO descriptions in under 60 seconds. It replaces the photography studio, retouching team, and copywriter for e-commerce brands in fashion, furniture, jewelry, real estate, footwear, and electronics. The platform has generated 10 million+ images for 50,000+ users.

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 uses dynamic volume-based pricing. Images: ₹15–₹300 per image ($0.15–$3), depending on quality tier (basic/professional/premium) and product type. Video: ₹80–₹300 per second ($0.80–$3) — a 6s video costs ₹480–₹1,800. Product descriptions: ₹30 per SKU. Virtual Try-On: ₹10,000/month (Standard) or ₹30,000/month (White-labeled API). Volume discounts: 5% per 1,000 images, capped at 25% for 5,000+ images. Annual billing saves 20%.

What plans does Stuv AI offer?

Stuv AI offers four plans: Silver (1 user, email support, 2–3 days SLA — essential generation, no Virtual Try-On), Gold (3 users, email support, 1–2 days SLA — Brand Identity profile, multi-reference, Virtual Try-On access), Platinum (5 users, WhatsApp support, 4–5 hour SLA — 3 Brand Identity profiles, Bulk Generate, Targeted Edit, Designer Support), and Enterprise (unlimited users, priority SLA — required for catalogs above 5,000 images, custom SLA).

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.

WhatsApp Commerce for Indian Brands: How Product Images Drive 18–25% Conversion Rates

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. Cost drops from ₹2,000–₹20,000 per shoot to ₹15–₹300 per image.

13 AI Features

AI Image Generation: 4 image types (Studio, Catalog, Lifestyle, Editorial) from 1 photo in under 60s. 10M+ images generated. 99.2% accuracy. ₹15–₹300/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

Images: ₹15–₹300/image. Video: ₹80–₹300/second. Descriptions: ₹30/SKU. Try-On Standard: ₹10,000/month. Try-On Whitelabel: ₹30,000/month. Volume discounts: 5% per 1,000 images (max 25%). Annual billing: 20% off. Plans: Silver (1 user, email support), Gold (3 users, brand identity, VTO), Platinum (5 users, WhatsApp support, bulk generate), Enterprise (unlimited, priority SLA).

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.

WhatsApp is India's largest commerce channel that most brands are dramatically under-using. India has over 500 million WhatsApp users — the largest user base globally — with 15 million active WhatsApp Business users. The platform's commerce GMV in India reached ₹2.5 lakh crore in 2025, driven by a combination of product catalog sharing, broadcast marketing, and conversational selling.

The metric that makes WhatsApp compelling for e-commerce is conversion rate. WhatsApp commerce converts at 18–25% — nearly 3x the 6–7% conversion rate of email marketing. The reason is intimacy: WhatsApp is a personal channel, and product recommendations feel like personal referrals rather than broadcast advertising. The constraint is that product images in WhatsApp catalogs are the entire buying experience — there is no additional product page to explain details, so the image must communicate everything.

WhatsApp Commerce Channels for Indian Brands

Channel	How It Works	Conversion Context
WhatsApp Business Catalog	Product images + name + price in a scrollable catalog	Customer browses, asks questions, orders via chat
Broadcast Lists	Send product images/videos to customer segments (up to 256)	Customer responds to order; 18–25% conversion on warm lists
Status (Stories)	Product images or short videos visible for 24 hours	Discovery channel; lower conversion, high reach
Click-to-WhatsApp Ads	Meta Ads that open a WhatsApp conversation	Highest-intent channel; customer has actively engaged
WhatsApp Payment	UPI-based payment within WhatsApp (65% of users have UPI)	Frictionless checkout — order and pay in one conversation

Why Product Image Quality Matters More on WhatsApp

On a Shopify store or Amazon listing, poor product images can be partially compensated by reviews, detailed descriptions, return policy badges, and Q&A sections. On WhatsApp, the product image is the entire first impression. A customer receiving a product image via WhatsApp makes a buy/no-buy decision based on:

Image quality — blurry, poorly lit, or low-resolution images read as low-quality products
Background — a cluttered or domestic background (kitchen table, bed) signals an informal seller; a clean white or lifestyle background signals a professional brand
Product clarity — the product must be instantly recognisable and its key features visible at thumbnail size (200 × 200 px in catalog)
Colour accuracy — colours must match what will arrive; colour mismatch is the primary WhatsApp commerce complaint driving negative word-of-mouth

WhatsApp Catalog Image Requirements

Requirement	WhatsApp Specification	Best Practice
Image format	JPEG or PNG	JPEG at 85% quality — smallest file, fastest load
Recommended dimensions	500 × 500 px minimum	800 × 800 px for clarity on high-resolution phones
Aspect ratio	Any (cropped to square in catalog)	1:1 square — no unintended cropping
File size	Under 5 MB	Under 500 KB — faster load in patchy mobile connections
Background	Any — but white or clean background performs best	White or clean lifestyle background
Multiple images per product	Up to 10 images per catalog item	Use 3–5: hero, detail, lifestyle, and colour variants

WhatsApp catalog images load on 2G, 3G, and 4G connections across India. File size matters more here than on any other platform — images under 500KB load 3–5x faster on slower connections, directly impacting conversion in Tier 2 and Tier 3 markets.

Building a WhatsApp Commerce Visual Strategy

For broadcast marketing (new arrivals, offers)

Send a single product image with the key detail visible at thumbnail size, product name, price, and a clear CTA ("Reply YES to order"). AI-generated images at 800 × 800 px with white backgrounds hit every requirement. Include a short product video (6s AI-generated) for 3x higher engagement vs. static images.

For catalog browsing

Load your WhatsApp Business catalog with clean, consistent product images. Use the same background treatment for every product — consistency signals brand professionalism. Update the catalog weekly with new arrivals. AI bulk generation makes weekly catalog refreshes practical at any scale.

For Click-to-WhatsApp Ads

The ad creative on Meta (Facebook/Instagram) should use the same product image that appears in the WhatsApp catalog. Visual consistency from ad to conversation reduces confusion and increases trust. Use AI lifestyle images for the ad creative (higher CTR) and white-background images in the catalog (highest conversion clarity).

Automating WhatsApp Commerce with AI Visual Content

The brands succeeding at WhatsApp commerce at scale combine AI image generation with WhatsApp automation:

New product arrives in warehouse → AI generates catalog images automatically (30–60 seconds)
Images pushed to Shopify via Shopify Push and to WhatsApp catalog via API simultaneously
Broadcast triggered via WhatsApp Business API to relevant customer segments (e.g. customers who bought similar product)
Conversations handled by WhatsApp chatbot for order placement, payment (UPI), and delivery status
Human agent escalates for complex queries only

Conclusion

WhatsApp commerce is the highest-converting sales channel available to Indian brands, and it is underinvested by the majority of D2C companies. The limiting factor is not the channel — it is the quality and consistency of the product images being shared. AI image generation removes this constraint: every product can have a professional, consistent, optimised image ready within minutes of arriving in stock.

Frequently Asked Questions

What is the conversion rate of WhatsApp commerce?

WhatsApp commerce converts at 18–25% — nearly 3x the 6–7% conversion rate of email marketing. The high conversion rate is driven by the personal nature of the channel, where product recommendations feel like personal referrals, and the direct conversational buying experience with UPI payment integration.

What image size works best for WhatsApp Business catalog?

WhatsApp recommends a minimum of 500 × 500 pixels. Best practice is 800 × 800 pixels in 1:1 square format to avoid cropping and ensure clarity on high-resolution phone screens. Keep file size under 500KB for fast loading on 3G/4G connections in Tier 2 and Tier 3 markets — where most of India's WhatsApp commerce growth is happening.

How large is WhatsApp commerce in India?

India's WhatsApp commerce GMV reached ₹2.5 lakh crore in 2025. India has 500 million WhatsApp users (the largest market globally) and 15 million active WhatsApp Business users. WhatsApp usage grew 314% between 2021–2025 and 21% in 2025 alone. UPI adoption among WhatsApp users is 65%, enabling seamless in-conversation payments.

Can I use AI-generated product images in WhatsApp commerce?

Yes. AI-generated product images work perfectly in WhatsApp catalogs and broadcasts. They should be exported as JPEG at 800 × 800 px, under 500KB. White-background images work best in catalog slots for product clarity. Lifestyle images work better for broadcast messages and Click-to-WhatsApp ad creatives.

Stuv AI — Platform Reference