BUILT PRODUCTConsumer & CommerceStudio-built
Building
Drapely
Try Before You Buy, Without Trying Anything On. See clothes and jewellery on you, check your size and fit, from one photo.
Fit Accuracy
Single-Photo 3D Mesh
Category Depth
Apparel & Jewellery
Return Reduction
Up to 45% Drop
Product Capabilities & Architecture
10 Production FeaturesExhaustive System Features & Workflow
Single-Photo Garment Draping & Ethnic Wear
Single-photo neural try-on preserving posture, skin tone, hair, and body shape with zero manual calibration
Advanced Indian ethnic drape simulator handling 6-yard saree pleating, pallu placement, and lehenga flare
Fabric texture fidelity engine preserving delicate zari borders, sequins, embroidery, and sheer fabrics
Multi-garment layering allowing users to combine inner tops, jackets, sarees, and dupattas seamlessly
Hyper-Realistic Jewellery & Accessory Try-On
Physically based rendering (PBR) reproducing authentic gold, silver, diamond, and gemstone refraction
Sub-millimeter earlobe, neck, and wrist tracking preventing floating or misaligned jewelry artifacts
Bridal jewelry set coordinator matching choker, earrings, maang tikka, and bangles in a single composition
Size calibration using user face proportions to display accurate, true-to-scale jewelry dimensions
AI Fit Finder & Return Reduction Engine
Computer-vision anthropometric estimator computing bust, waist, hip, and inseam measurements from photo
Smart size converter matching brand-specific size charts across Indian and international sizing standards
Fit tension heatmap indicating where garments will feel tight, comfortable, or loose on the body
Bespoke tailoring spec generator exporting blouse and suit measurements directly to partner tailors
Merchant SDK, WhatsApp Bot & Privacy Guard
Plug-and-play JavaScript SDK for Shopify, WooCommerce, and custom React headless storefronts
WhatsApp Business try-on bot allowing shoppers to text selfies and get instant draped previews in chat
Automated ephemeral storage ensuring uploaded customer photos are purged within 24 hours
Merchant analytics dashboard tracking try-on conversion uplifts, high-fit items, and return rates
All Individual Feature Specifications:
01Single-Photo Virtual Try-On: Upload one casual photo to realistically drape any clothing item with natural folds, lighting, and shadow consistency
02Intricate Indian Ethnic Wear Engine: Specialized cloth physics for sarees, lehengas, dupattas, and sherwanis capturing complex embroidery, pleats, and draping styles
03Hyper-Realistic 3D Jewellery Try-On: Real-time physically based rendering (PBR) for gold, kundan, polki necklaces, earrings, and rings with accurate earlobe and neck anchoring
04AI Fit Finder & Size Recommendation: Measures key body proportions from your photo to recommend exact sizes (S, M, L, XL or custom blouse measurements) reducing returns
05Before & After Side-by-Side Comparison: Compare multiple outfits and jewellery pairings side-by-side with 360° spin simulation
06Shopify & D2C Store Widget: 1-click JavaScript SDK for e-commerce brands to add a 'Try On Me' button directly to their product pages
07WhatsApp Try-On Assistant: Customers send a selfie and a product link on WhatsApp to instantly receive their styled photo without installing any app
08Privacy-First On-Device Body Masking: Automatic background removal and encrypted photo processing with instant 24-hour auto-purge guarantee
09Skin Tone & Lighting Adaptation: Automatically harmonizes garment highlights and reflections to match the ambient lighting of the user's photo
10Merchant B2B Studio Console: Fashion boutiques upload flat garment photos on hangers to auto-generate modeled catalog shoots across diverse Indian body types
Visual Interface Showcase
Screenshots & Interaction Design
High-resolution interface viewports ready to link direct screenshots and walkthrough captures.
https://drapely.app
DESKTOP VIEWActive Production View: Drapely
FEATURE DETAILVIEWPORT 02
Interactive Workspace ViewSlot for modal, editor, or action flow preview.
MOBILE ADAPTIVEVIEWPORT 03
Mobile & Tablet ResponsiveSlot for touch-screen mobile viewport screenshot.
Who experiences this problem?
D2C fashion brands, boutique saree and bridal wear retailers, online jewellery stores, marketplace shoppers, fashion creators, and regional tailors needing digital previews.
Current Workflow Breakdown:High return shipping costs wiping out merchant profits, flat mannequin photos that fail to communicate real drape or fit, and rudimentary 2D AR stickers that look fake and lack realistic lighting and fabric pleating.
How our product addresses it
An AI-powered virtual try-on and 3D fit visualization studio: users upload a single casual photo to realistically drape any garment (sarees, lehengas, western dresses, shirts) and try on intricate jewelry (necklaces, earrings, rings) with true-to-scale physics, accurate skin-tone preservation, and 3D camera-assisted size recommendations.
Technical Stack & Foundations
Next.js 15 & WebGPU Real-Time Canvas
Diffusion Virtual Try-On (VTON) Pipeline
MediaPipe 33-Point 3D Body & Face Mesh
Physics-Based Cloth Deformation & Pleating
Realistic Metal & Gem PBR Ray-Tracing Shader
Camera-Based 3D Anthropometric Fit Finder
Shopify & WooCommerce Embeddable Widget
WhatsApp Catalog 1-Tap Virtual Try-On Bot
Current progress and roadmap
Stage: Building
Training diffusion-based warping models on Indian ethnic fabrics (silk, chiffon, organza pleats) and integrating WebXR face and body landmark tracking for sub-second jewelry placement.
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