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Clothsy AI Talk to us
Clothsy AI Talk to us

Chapter 2The landscape4 min readPublic overview · October 2026

The landscape

Search platforms, retailers, cloud providers, live-video engines and creative tools all want try-on. None yet covers every garment, every body and every channel.

2.1Who is building try-on

Try-on has attracted search platforms, retailers, cloud providers, live-video engines and creative tools. Each group solves part of the problem for its own purposes.

Table 5 The landscape of virtual try-on, October 2026
GroupWhoWhat they do
Search and shopping platformsGooglePhoto try-on in Search for US, UK and Indian shoppers; the Doppl app closed and moved into Search [6, 7, 13]
Retailers and marketplacesInditex (Zara), Alibaba (Taobao)Try-on inside their own apps, at large scale in many markets [8, 9]
Cloud platformsGoogle CloudA dedicated try-on model sold to enterprises [10]
Live-video enginesDecartLive camera try-on on a closed engine [11, 12]
Video and creative toolsFASHN, Luma, RunwayVideo try-on and wardrobe editing for creators and developers [14, 15, 16]
Research communityUniversities and labsFast-moving research, mostly released for research use only

2.2Where the gaps are

  • Coverage of garments. Layered outfits, draped garments and cultural clothing are poorly served.
  • Coverage of bodies. No published audit of try-on by skin tone or body shape was found.
  • Closed engines. Live try-on exists, but on closed engines under terms that most businesses cannot build a product on.
  • Reach. Platforms serve their own shoppers. Independent stores, marketplaces and retailers in most markets have no neutral, ready-to-use option.
  • Affordability. Live and video try-on are not yet within reach of most businesses.

2.3Where FabricVTON fits

We do not need to win every dimension. We aim to be the try-on platform that works for the garments and shoppers the field neglects, that any business can adopt, and that brings live try-on within reach of the world. We expect the largest platforms to stay strong in their own ecosystems and the leading live engines to stay strong in general live video. Our opportunity is fashion, in every market, for every business.

Sources in this chapter

  1. [6]TechCrunch. Google's new AI feature lets you virtually try on clothes. 24 July 2025. techcrunch.com/2025/07/24/googles-new-ai-feature-lets-you-virtually-try-on-clothes
  2. [7]Google. Virtual apparel try-on in the UK and India. Google Shopping blog, December 2025. blog.google/products-and-platforms/products/shopping/virtual-apparel-try-on-uk-india
  3. [8]Inditex. FY2025 Results. 2026. www.inditex.com/itxcomweb/us/en/press/news-detail/b870d5ec-6b7e-491d-b38e-340cd69036df/fy2025-results
  4. [9]Alibaba Taobao. Tstars-Tryon 1.0. arXiv:2604.19748, April 2026. arxiv.org/abs/2604.19748
  5. [10]Google Cloud. Virtual Try-On on Vertex AI. Documentation. docs.cloud.google.com/vertex-ai/generative-ai/docs/models/imagen/virtual-try-on-preview-08-04
  6. [11]Decart. Realtime virtual try-on documentation, 2026. docs.platform.decart.ai/models/realtime/virtual-try-on
  7. [12]Decart. Decart raises USD 300M; over USD 450 million raised to date. May 2026. decart.ai/publications/decart-raises-300m-tech-leaders-back-the-company-as-both-customers-and-investors
  8. [13]Google Labs. Doppl help centre: the app closed on 30 April 2026 and try-on moved into Search. support.google.com/labs/answer/16537062?hl=en
  9. [14]FASHN AI. Image-to-Video API reference. docs.fashn.ai/api-reference/image-to-video
  10. [15]Luma AI. Ray 3.2 video-to-video, May 2026. lumalabs.ai/learning-center/articles/ray-3-2-video-to-video
  11. [16]Runway. Aleph 2.0 video editing. runway.com/product/aleph-2