MatchBest Group's Xelta platform introduces AI-powered Virtual Try-On that places garments and accessories onto models or user-uploaded reference photos with photorealistic accuracy — instantly, at scale, and without a single physical shoot.
Xelta, the AI Creative Studio from MatchBest Group, today announced the launch of AI Virtual Try-On — a feature that enables fashion brands, e-commerce retailers, content creators, and product designers to digitally place clothing, accessories, and complete outfits onto models or reference photos, generating photorealistic results that are visually indistinguishable from professionally produced studio photography — instantly, and at a fraction of the cost.
The feature represents a fundamental shift in how fashion and retail content is produced. On-model product photography has historically been one of the most expensive, time-consuming, and logistically complex stages of fashion commerce. Virtual Try-On makes it instant, scalable, and accessible to any brand or creator — regardless of budget, location, or team size.
The Problem Virtual Try-On Solves
On-model photography sits at the intersection of fashion's two most pressing operational challenges: cost and speed. A single on-model photography session — covering model fees, photographer fees, studio hire, lighting, styling, makeup, and post-production — can cost thousands of dollars and require days of planning, coordination, and execution. For brands with large catalogues, the cumulative cost of on-model photography across all SKUs represents one of the largest line items in their creative production budget.
The speed problem compounds the cost problem. Fashion moves on seasonal cycles that are becoming shorter, not longer. Trend-driven categories move on cycles measured in weeks. Social commerce requires new visual content daily. A photography pipeline that takes two weeks from brief to published asset is fundamentally incompatible with the pace at which modern fashion commerce operates.
AI Virtual Try-On on Xelta eliminates both constraints simultaneously. A brand can upload a new garment image, select or upload a model reference, and have a photorealistic on-model product image in minutes — not days. The same process that previously required a team of ten can now be completed by a single team member with an internet connection.
How AI Virtual Try-On Works
Xelta's Virtual Try-On feature uses a combination of advanced diffusion-based inpainting, garment warping models, and body-aware fitting algorithms to produce results of exceptional visual quality:
- Garment upload — the user uploads a product image of the clothing item or accessory in any standard format
- Model selection or upload — the user selects from Xelta's library of model assets or uploads a custom reference photo
- AI rendering — the system places the garment onto the model using advanced inpainting that respects the model's body geometry
- Fabric drape simulation — the AI models natural fabric behaviour, including drape, fold, crease, and movement appropriate to the garment's material properties
- Body-aware fitting — the garment is proportionally fitted to the model's specific body shape and pose, avoiding the artificial flattening common in earlier virtual try-on systems
- Lighting consistency — the generated output matches the ambient lighting conditions of the reference image, ensuring the garment appears naturally lit rather than composited
- Background preservation — the original model background is preserved or replaced according to the user's preference
- Batch generation — multiple garment and model combinations can be processed simultaneously, enabling full catalogue photography in a single session
Industry Applications
-
Fashion E-Commerce Brands
On-model product photography directly influences purchase confidence, conversion rates, and product return rates in fashion e-commerce. Shoppers who can see a garment worn on a model — particularly one that reflects their own body type — are significantly more likely to purchase and significantly less likely to return the item. Xelta's Virtual Try-On enables brands to produce on-model imagery for every product in their catalogue, regardless of production budget, and to update those images rapidly as product lines evolve. -
Content Creators and Influencers
Fashion content creators and influencers face a constant demand for fresh style content — lookbooks, outfit inspiration posts, seasonal edits, and brand collaboration visuals. Physical sample sourcing, styling, shooting, and editing create significant time and cost pressure for creators operating at commercial scale. Virtual Try-On enables creators to produce style content and outfit combinations without physical samples, dramatically accelerating their content output and enabling experimentation across a far broader range of brands and products than physical logistics would allow. -
Fashion Designers and Design Studios
Design studios typically invest significant time and cost in physical sample production before they can evaluate a new collection on-model. Virtual Try-On enables design teams to visualise every piece in a new collection on realistic model representations before any physical sample is produced — accelerating the creative review cycle, reducing sample production waste, and enabling faster go-to-market timelines. Design iterations that previously required new samples can be completed digitally in minutes.
Retailers and Multi-Brand Platforms
Retailers and multi-brand e-commerce platforms that aggregate products from multiple vendors face an acute challenge: not all vendor-supplied product images are on-model, and on-model images rarely use consistent model types, styling approaches, or photographic standards. Xelta's Virtual Try-On enables retailers to standardise the visual presentation of their entire catalogue — regenerating consistent on-model imagery for all products, from any vendor, using a cohesive set of model references — creating a unified, professional shopping experience regardless of the diversity of the underlying product base.
"Virtual Try-On addresses one of the most persistent and expensive pain points in fashion commerce — the cost and complexity of producing on-model photography at scale. With Xelta, any brand, regardless of size or budget, can generate a complete catalogue of photorealistic product visuals in the time it previously took to book a model for a single shoot. This is not an incremental improvement in fashion content production. It is a structural change in how the industry operates." — Vishal Arya, CEO, MatchBest Group
Platform Access
AI Virtual Try-On is available on Xelta at: xelta.ai/dashboard/ai-tool/virtual-try-on
About Xelta
Xelta (xelta.ai) is an all-in-one AI Creative Studio powered by 90+ AI models. Built on a proprietary engine called Content Flow™, the platform enables creators, marketers, agencies, product teams, and businesses to generate images, videos, microdramas, comics, voiceovers, ads, micro-courses, and fashion visuals — all from a single unified workspace. Xelta is available on web, iOS (App Store), and Android (Google Play).
About MatchBest Group
MatchBest Group (matchbest.ai) is a leading AI and digital innovation company headquartered in Gurugram, India, with a presence in the USA and UAE. The group specialises in AI product development, custom software, cloud infrastructure, and cybersecurity solutions. MatchBest Group is ISO certified and serves clients across India, the United States, and the Middle East. The company is committed to making advanced AI capabilities accessible to businesses of every size through intelligent, scalable, and production-ready platforms.
MatchBest Group's Xelta platform introduces AI-powered Virtual Try-On that places garments and accessories onto models or user-uploaded reference photos with photorealistic accuracy — instantly, at scale, and without a single physical shoot.
Xelta, the AI Creative Studio from MatchBest Group, today announced the launch of AI Virtual Try-On — a feature that enables fashion brands, e-commerce retailers, content creators, and product designers to digitally place clothing, accessories, and complete outfits onto models or reference photos, generating photorealistic results that are visually indistinguishable from professionally produced studio photography — instantly, and at a fraction of the cost.
The feature represents a fundamental shift in how fashion and retail content is produced. On-model product photography has historically been one of the most expensive, time-consuming, and logistically complex stages of fashion commerce. Virtual Try-On makes it instant, scalable, and accessible to any brand or creator — regardless of budget, location, or team size.
The Problem Virtual Try-On Solves
On-model photography sits at the intersection of fashion's two most pressing operational challenges: cost and speed. A single on-model photography session — covering model fees, photographer fees, studio hire, lighting, styling, makeup, and post-production — can cost thousands of dollars and require days of planning, coordination, and execution. For brands with large catalogues, the cumulative cost of on-model photography across all SKUs represents one of the largest line items in their creative production budget.
The speed problem compounds the cost problem. Fashion moves on seasonal cycles that are becoming shorter, not longer. Trend-driven categories move on cycles measured in weeks. Social commerce requires new visual content daily. A photography pipeline that takes two weeks from brief to published asset is fundamentally incompatible with the pace at which modern fashion commerce operates.
AI Virtual Try-On on Xelta eliminates both constraints simultaneously. A brand can upload a new garment image, select or upload a model reference, and have a photorealistic on-model product image in minutes — not days. The same process that previously required a team of ten can now be completed by a single team member with an internet connection.
How AI Virtual Try-On Works
Xelta's Virtual Try-On feature uses a combination of advanced diffusion-based inpainting, garment warping models, and body-aware fitting algorithms to produce results of exceptional visual quality:
- Garment upload — the user uploads a product image of the clothing item or accessory in any standard format
- Model selection or upload — the user selects from Xelta's library of model assets or uploads a custom reference photo
- AI rendering — the system places the garment onto the model using advanced inpainting that respects the model's body geometry
- Fabric drape simulation — the AI models natural fabric behaviour, including drape, fold, crease, and movement appropriate to the garment's material properties
- Body-aware fitting — the garment is proportionally fitted to the model's specific body shape and pose, avoiding the artificial flattening common in earlier virtual try-on systems
- Lighting consistency — the generated output matches the ambient lighting conditions of the reference image, ensuring the garment appears naturally lit rather than composited
- Background preservation — the original model background is preserved or replaced according to the user's preference
- Batch generation — multiple garment and model combinations can be processed simultaneously, enabling full catalogue photography in a single session
Industry Applications
-
Fashion E-Commerce Brands
On-model product photography directly influences purchase confidence, conversion rates, and product return rates in fashion e-commerce. Shoppers who can see a garment worn on a model — particularly one that reflects their own body type — are significantly more likely to purchase and significantly less likely to return the item. Xelta's Virtual Try-On enables brands to produce on-model imagery for every product in their catalogue, regardless of production budget, and to update those images rapidly as product lines evolve. -
Content Creators and Influencers
Fashion content creators and influencers face a constant demand for fresh style content — lookbooks, outfit inspiration posts, seasonal edits, and brand collaboration visuals. Physical sample sourcing, styling, shooting, and editing create significant time and cost pressure for creators operating at commercial scale. Virtual Try-On enables creators to produce style content and outfit combinations without physical samples, dramatically accelerating their content output and enabling experimentation across a far broader range of brands and products than physical logistics would allow. -
Fashion Designers and Design Studios
Design studios typically invest significant time and cost in physical sample production before they can evaluate a new collection on-model. Virtual Try-On enables design teams to visualise every piece in a new collection on realistic model representations before any physical sample is produced — accelerating the creative review cycle, reducing sample production waste, and enabling faster go-to-market timelines. Design iterations that previously required new samples can be completed digitally in minutes.
Retailers and Multi-Brand Platforms
Retailers and multi-brand e-commerce platforms that aggregate products from multiple vendors face an acute challenge: not all vendor-supplied product images are on-model, and on-model images rarely use consistent model types, styling approaches, or photographic standards. Xelta's Virtual Try-On enables retailers to standardise the visual presentation of their entire catalogue — regenerating consistent on-model imagery for all products, from any vendor, using a cohesive set of model references — creating a unified, professional shopping experience regardless of the diversity of the underlying product base.
"Virtual Try-On addresses one of the most persistent and expensive pain points in fashion commerce — the cost and complexity of producing on-model photography at scale. With Xelta, any brand, regardless of size or budget, can generate a complete catalogue of photorealistic product visuals in the time it previously took to book a model for a single shoot. This is not an incremental improvement in fashion content production. It is a structural change in how the industry operates." — Vishal Arya, CEO, MatchBest Group
Platform Access
AI Virtual Try-On is available on Xelta at: xelta.ai/dashboard/ai-tool/virtual-try-on
About Xelta
Xelta (xelta.ai) is an all-in-one AI Creative Studio powered by 90+ AI models. Built on a proprietary engine called Content Flow™, the platform enables creators, marketers, agencies, product teams, and businesses to generate images, videos, microdramas, comics, voiceovers, ads, micro-courses, and fashion visuals — all from a single unified workspace. Xelta is available on web, iOS (App Store), and Android (Google Play).
About MatchBest Group
MatchBest Group (matchbest.ai) is a leading AI and digital innovation company headquartered in Gurugram, India, with a presence in the USA and UAE. The group specialises in AI product development, custom software, cloud infrastructure, and cybersecurity solutions. MatchBest Group is ISO certified and serves clients across India, the United States, and the Middle East. The company is committed to making advanced AI capabilities accessible to businesses of every size through intelligent, scalable, and production-ready platforms.