FASHN
FASHN is a self-funded, AI-first company that develops cutting-edge virtual try-on technology and image-based generative models tailored specifically for the fashion industry.
https://fashn.ai/

Product Information
Updated:Jul 16, 2025
FASHN Monthly Traffic Trends
FASHN achieved 124.4K visits with a 29.5% growth in July. The release of FASHN v1.6 in June, which introduced improved resolution and performance, likely contributed to the increased user engagement. The enhanced accuracy and visual detail of the virtual try-on technology may have attracted more users and improved the overall user experience.
What is FASHN
FASHN is an innovative AI photography platform designed specifically for fashion brands and creative professionals. Founded by Aya Bochman and Dan Bochman, this self-funded company focuses on researching and developing advanced image-based generative AI models for the fashion industry. Their core offering is a sophisticated virtual try-on solution that allows users to generate or modify fashion photoshoots with any model or outfit of their choice.
Key Features of FASHN
FASHN is an AI-first company that provides advanced virtual try-on and fashion image generation technology. Their platform enables fashion brands and creative professionals to generate or modify fashion photoshoots with any model or outfit, utilizing image-based generative models specifically tailored for the fashion industry. The solution focuses on maintaining perfect garment resemblance while offering customization options through both a web app and API access.
Virtual Try-On Technology: Advanced AI-powered system that allows users to visualize clothing on different models with high accuracy and realism
Image Generation Capabilities: Ability to create and modify fashion photoshoots using AI, enabling brands to produce campaign imagery without traditional photoshoots
Multi-Platform Access: Available through both web application and API integration, providing flexibility for different business needs
Garment Accuracy Focus: Specialized attention to maintaining perfect resemblance to reference garments, ensuring brand integrity in virtual presentations
Use Cases of FASHN
Fashion E-commerce: Online retailers can create diverse product presentations with various models without physical photoshoots
Marketing Campaigns: Brands can generate campaign visuals quickly and cost-effectively using AI-generated fashion imagery
Dropshipping Business: Dropshippers can create custom lookbooks and product presentations without holding physical inventory
Fashion Design Preview: Designers can visualize their creations on different models before production
Pros
Cost-effective alternative to traditional photoshoots
Scalable solution for creating diverse fashion content
High accuracy in garment representation
Cons
Requires initial setup and learning curve
Limited to available AI model capabilities
How to Use FASHN
Access FASHN Platform: Visit FASHN's platform through either their web app (fashn.ai/products/web-app) or API (fashn.ai/products/api) depending on your needs
Upload Reference Images: Upload images of your garments/clothing items that you want to use for virtual try-on
Select Model: Choose from available AI-generated or real fashion models to showcase your clothing
Generate Virtual Try-On: Use FASHN's AI technology to generate virtual try-on images that show your selected garments on the chosen models
Review and Download: Review the generated images to ensure they meet your standards and download the final results for your use
Contact Support: For any inquiries or assistance, reach out to FASHN's team through their contact channels ([email protected] or Discord)
FASHN FAQs
FASHN is a self-funded, AI-first company focused on researching image-based generative models tailored for the fashion industry. They develop virtual try-on solutions for fashion brands.
Official Posts
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Analytics of FASHN Website
FASHN Traffic & Rankings
124.4K
Monthly Visits
#268527
Global Rank
#319
Category Rank
Traffic Trends: Sep 2024-Jun 2025
FASHN User Insights
00:02:11
Avg. Visit Duration
4
Pages Per Visit
40.21%
User Bounce Rate
Top Regions of FASHN
US: 69.55%
IN: 5.17%
GB: 3.01%
ID: 2.48%
EG: 1.4%
Others: 18.39%