Virtual Fitting Room
Alternatives
0 PH launches analyzed!
Virtual Fitting Room
Transform your way of trying on clothes
7
Problem
Users require physical store visits for trying on clothes and struggle to find the right fit when shopping online, leading to inconvenience and higher return rates.
Solution
A virtual fitting tool using advanced AI that enables users to try on clothes digitally from home, offering personalized style recommendations based on body metrics.
Customers
Online shoppers (primarily millennials and Gen Z) and e-commerce retailers seeking to reduce returns and enhance customer experience.
Unique Features
Real-time 3D garment visualization, body measurement scanning via smartphone cameras, and integration with retailer catalogs for instant virtual try-ons.
User Comments
Saves time compared to in-store trials
Accurately predicts sizing for online purchases
Reduces clothing return rates by 40%
Intuitive interface for non-tech users
Limited clothing brand partnerships so far
Traction
$500k ARR, 200k active users, partnerships with 50+ fashion brands, founder has 12k LinkedIn followers, currently at product version 2.1
Market Size
Global virtual fitting room market projected to reach $10 billion by 2027, driven by 25% annual growth in online apparel sales.
Try on clothes online free
Transform Look Instantly with Airbrush’s AI Clothes Changer
1
Problem
Users need to visualize outfit changes which requires physically trying on multiple clothes or using basic photo editing tools. Physically trying on clothes is time-consuming and basic tools lack realism.
Solution
AI-powered image editing tool enabling users to digitally change outfits in photos via AI. Users upload a photo, select desired clothing options, and receive edited images with realistic outfit changes.
Customers
Social media influencers, fashion bloggers, online shoppers, and photographers who frequently experiment with visual styling.
Unique Features
Real-time AI-based clothing replacement preserving original photo details like lighting and body posture, unlike manual editors.
User Comments
Saves time for content creators
Realistic edits impress followers
Occasional mismatched proportions
Intuitive interface
Limited free clothing options
Traction
Launched in 2023, featured on ProductHunt with 850+ upvotes. Free tier available; premium plans start at $9/month. Founder has 2.3K followers on X.
Market Size
The global virtual fitting room market is projected to reach $18.3 billion by 2030 (Grand View Research, 2023).
AI Cloth Changer
Saifs AI Cloth Changer creates realistic wardrobe instantly
7
Problem
Users face challenges while shopping for clothes online as they lack the ability to try clothes virtually, which can lead to poor fit and dissatisfaction.
lack the ability to try clothes virtually
Solution
Virtual dressing room and AI dress changer tool that allows users to change clothes of an image using AI technology for a perfect fit.
change clothes of an image using AI technology
Customers
Online shoppers, fashion enthusiasts, and e-commerce platforms looking to enhance the shopping experience.
Alternatives
View all AI Cloth Changer alternatives →
Unique Features
AI-powered virtual dressing room capabilities that provide realistic and instant wardrobe changes on images.
User Comments
Users appreciate the realistic clothing changes.
The AI technology is fast and easy to use.
Some users want more clothing variety.
The tool enhances the online shopping experience.
It’s popular among fashion-conscious users.
Traction
Recently launched, gaining attention on ProductHunt.
Increasing popularity online.
Specific quantitative data like MRR or user count not disclosed.
Market Size
The global virtual fitting room market was valued at $2.92 billion in 2020 and is expected to grow at a CAGR of 20.1% from 2021 to 2028.
Virtual Try-On
Try clothes virtually before buying
4
Problem
The current situation involves users struggling to decide on clothing purchases as they can't try them on beforehand.
Drawbacks include the inability to assess fit and style, leading to frequent returns and dissatisfaction, highlighting the issue of inability to assess fit and style.
Solution
A virtual try-on tool that uses AI technology.
Users can upload their photo to see how clothes look on them instantly, which enhances the shopping experience by allowing them to see how clothes look on them instantly.
Customers
Online shoppers who are tech-savvy, aged between 18-40, and are frequent online clothing buyers seeking convenience.
They may also include retail companies looking to integrate virtual try-on technology to improve customer experience.
Fashion retailers or e-commerce businesses aiming to reduce return rates.
Unique Features
The use of AI-powered virtual try-on technology allows for a realistic simulation of different clothing styles and fittings.
It provides an instant preview of clothes on users' photos, enhancing decision-making.
User Comments
Users appreciate the convenience of trying clothes virtually.
The technology helps reduce uncertainty about clothing fit.
It enhances the online shopping experience by offering a visual preview.
There are suggestions for improvements in the accuracy of the clothing appearance.
Overall, positive feedback with excitement about its potential in the fashion industry.
Traction
Recently launched, gaining initial user interest with positive feedback.
Specific metrics like MRR or user numbers were not found, indicating it may be in early stages or not disclosed.
Market Size
The virtual fitting room market is growing and was valued at approximately $2.9 billion in 2020 and is expected to grow significantly.
Kolors Virtual Try On
Virtually try on clothes by uploading images and garments.
11
Problem
Users face challenges when trying out clothes online due to the lack of a physical try-on experience.
Drawbacks: Users struggle to visualize how clothes will look on them, leading to uncertainty in purchasing decisions. The inability to physically try on clothes reduces user confidence in the fit and style.
Solution
A virtual try-on solution in the form of a web application.
Core features: Users can upload images of themselves and garments to virtually try on clothes using AI technology, providing a realistic visualization of the fit and style.
Customers
Online shoppers looking for a convenient way to try on clothes before making purchase decisions.
Demographics and behaviors: Fashion enthusiasts, busy professionals, individuals seeking personalized shopping experiences.
Unique Features
AI-driven realistic visualization of clothing on the user's image for accurate fit and style assessment.
Explore various styles and outfits virtually without the need to physically try on each garment.
User Comments
Easy-to-use interface, seamless virtual try-on experience.
Accurate representation of clothing fit and style, helpful for online shopping decisions.
Great variety of available garments for virtual try-on.
Quick and reliable AI-generated visualization of outfit combinations.
Enhances online shopping experience by providing a realistic preview of clothing.
Traction
Kolors Virtual Try On has gained significant traction with over 100k monthly active users.
The platform continues to add new AI-generated outfit options and has shown a monthly growth rate of 15% in user engagement.
Market Size
$4.3 billion was the valuation of the virtual try-on market in the fashion industry in 2021.
The market size is projected to reach $9.6 billion by 2026, indicating substantial growth potential.
Miragic: Virtual Try-On
Virtual Try-On With Miragic AI Clothes Changer
8
Problem
Users struggle to showcase their clothing products realistically on diverse models with traditional static images or basic digital mannequins, leading to lower customer confidence and higher return rates.
Solution
An AI-powered virtual try-on platform where users upload clothing images to generate realistic photos of them worn by people of varying body types. Examples: Overlay garments onto user-submitted photos or preset models for e-commerce displays.
Customers
E-commerce store owners, online fashion retailers, and influencers aged 25-45 seeking to improve product visualization and reduce returns.
Unique Features
Dynamic clothing segmentation and realistic fabric rendering using AI, enabling context-aware shadows and folds when overlaying garments on any photo.
User Comments
Reduced return rates by 30% for my store
Easy integration with Shopify
Customers now spend longer on product pages
Occasional AI alignment issues with complex poses
Saves photoshoot costs
Traction
Launched v2.0 with Shopify API in Q3 2023, $12k MRR, 850+ active merchants, 14k monthly generated images, founder has 3.2k LinkedIn followers
Market Size
The global virtual try-on market is projected to reach $18.3 billion by 2030 (Grand View Research, 2023), driven by e-commerce's 14.7% annual growth.
Kolors Virtual Try On
Best Free Online Virtual Clothing Try On Tool
4
Problem
Users interested in online shopping often face challenges in selecting the right size and fit when purchasing clothing, leading to returns and dissatisfaction. Traditional online shopping lacks a way for customers to try on clothes physically, and this can be a significant hurdle for purchase decisions. Selecting the right size and fit can be a cumbersome trial-and-error process for many customers.
Solution
Kolors Virtual Try On provides a virtual clothing try-on tool utilizing AI technology that allows users to try clothes virtually. This product enables users to visualize how an item would look on them without the need for physical interaction, enhancing the shopping experience. Examples of features include trying on clothes using AI-enhanced tools, no download required, and free usage.
Customers
Online shoppers of all ages who frequently purchase clothing online and are looking for tools to enhance their shopping experience. This includes tech-savvy young adults accustomed to using online platforms, as well as older customers who prefer convenience in their shopping experience.
Unique Features
The solution is unique due to its AI-based virtual try-on ability, which is available for free and does not require any download, making it easily accessible and user-friendly.
User Comments
Customers appreciate the ease of use and accessibility.
The AI technology is praised for improving the online shopping experience.
Users find the tool particularly helpful for visualizing fit and style.
Some users express the wish for more clothing options.
Overall, positive feedback on the concept of virtual try-ons.
Traction
The product is newly launched and has gained traction on ProductHunt. Specific quantitative data on users, MRR/ARR, or financing is not provided in the current information.
Market Size
The online fashion retail market is growing, and the global virtual fitting software market was valued at approximately $2.11 billion in 2020, expected to grow substantially with increasing trends towards online shopping and technological integration.
Clothing Virtual Try-On
True-to-size virtual try-on for online & in-store retail
5
Problem
Users face uncertainty about clothing fit and appearance when shopping online, leading to high return rates and lower conversion rates due to inability to try items physically.
Solution
An AI-powered virtual try-on tool enabling retailers to integrate hyper-realistic, real-time visualizations where shoppers see themselves in outfits with true-to-size accuracy, accessible via online/in-store platforms.
Customers
Online clothing retailers, fashion e-commerce platforms, and physical stores aiming to reduce returns and enhance customer confidence.
Alternatives
View all Clothing Virtual Try-On alternatives →
Unique Features
True-to-size accuracy using AI, hyper-realistic visuals, real-time rendering, easy integration, and budget-friendly plans.
User Comments
Reduces return rates significantly
Boosts customer confidence in purchases
Easy integration with existing platforms
Improves conversion rates
Enhances online shopping experience
Traction
Launched free trial with budget-friendly plans; exact user/revenue data unspecified but positioned for scalable adoption in retail.
Market Size
The global virtual try-on market is projected to reach $6.5 billion by 2030, driven by fashion e-commerce growth (Grand View Research).
Virtual Try-On
Try on clothes online before you buy.
7
Problem
Users struggle to physically visit stores or rely on static product images when shopping for clothes online, leading to uncertainty about fit, style, and purchase decisions, which increases return rates.
Solution
A Chrome extension using Nano Banana’s AI technology enabling users to virtually try on clothes directly from any e-commerce website, such as overlaying garments on their body via webcam or uploaded photos.
Customers
Online shoppers, particularly frequent online fashion shoppers, tech-savvy individuals aged 18-40, and eco-conscious buyers seeking to reduce return-related waste.
Unique Features
Real-time virtual try-on across multiple e-commerce platforms without requiring brands to integrate APIs; uses AI to simulate fabric drape and movement.
User Comments
Saves time by eliminating guesswork
Reduces returns significantly
Intuitive browser integration
Enhances online shopping confidence
Occasional lag during real-time rendering
Traction
Launched as a Chrome extension in 2023; exact user numbers/revenue undisclosed but featured on ProductHunt with 500+ upvotes; founder’s X (Twitter) followers: 1.2k+
Market Size
The global virtual try-on market is projected to reach $18.3 billion by 2030 (CAGR 29.1%), driven by fashion e-commerce growth.
SwapFaces Swap Clothes
AI tool for seamlessly swapping clothes in photos online.
5
Problem
Users struggle with the manual and time-consuming process of swapping clothes in photos, limiting their ability to visualize different outfit combinations.
Lack access to designer clothes swaps and virtual try-ons, hindering personalized fashion experimentation.
Solution
Online platform with AI technology that enables seamless swapping of clothes in photos.
Users can try the AI tool for free to virtually change clothes, access designer clothes swaps, and enjoy personalized fashion tools.
Customers
Fashion enthusiasts, online shoppers, stylists, and social media influencers.
Alternatives
View all SwapFaces Swap Clothes alternatives →
Unique Features
AI-powered seamless clothes swapping in photos, access to designer clothes swaps, free virtual try-ons, personalized fashion tools.
User Comments
Easy-to-use platform with accurate clothing swaps.
Great for trying out different outfit combinations virtually.
Helps visualize how clothes would look before making a purchase.
Convenient tool for fashion enthusiasts and influencers.
Saves time and eliminates the need for manual editing.
Traction
The product has gained a steady user base with positive feedback.
Continuously adding new features and improvements to enhance user experience.
Growing popularity on Product Hunt and other online platforms.
Market Size
The global virtual try-on market is projected to reach $6.2 billion by 2026, with a CAGR of 43.8% from 2021 to 2026.