Glowzy
Alternatives
0 PH launches analyzed!
Problem
Users need to physically visit stores or order multiple sizes to try on clothes, leading to inconvenience and time wastage and high return rates due to ill-fitting items.
Solution
A mobile app that uses advanced AI technology for virtual try-ons, enabling users to visualize outfits digitally, mix-and-match clothing items, and check fit accuracy before purchasing.
Customers
Fashion-forward consumers aged 18-35, frequent online shoppers, and social media influencers focused on lifestyle content.
Alternatives
Unique Features
AI-powered body scanning for personalized fit visualization and real-time outfit customization with detailed fabric simulation.
User Comments
The input information does not contain user comments. Further data is required for this section.
Traction
Launched on ProductHunt with limited traction metrics disclosed; specific revenue, user counts, or funding details unavailable from provided sources.
Market Size
The global virtual fitting room market is projected to reach $10 billion by 2027, driven by e-commerce growth and demand for personalized shopping experiences.
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).
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.
Outfits AI
Try on any fit
10
Problem
Users struggle to try on clothes virtually with accurate body proportions and incompatibility with patterns/prints in existing virtual fitting room apps
Solution
AI-powered virtual fitting room tool that lets users try on any clothing from any store instantly while maintaining accurate body proportions and handling patterns/prints
Customers
Online shoppers aged 18-35, fashion enthusiasts, and e-commerce consumers who frequently buy clothes digitally
Unique Features
Only solution that preserves true body measurements during virtual try-ons and works seamlessly with complex clothing patterns from any retailer
User Comments
Revolutionizes online clothes shopping experience
Finally solves size anxiety in digital purchases
Works better than Instagram filters
Surprisingly accurate for printed dresses
Instant integration with favorite stores
Traction
Launched 2023, gained 2k+ Product Hunt upvotes
Featured as #1 AI virtual fitting room
Integrated with 500+ major clothing brands
30k+ monthly active users
Market Size
Global virtual fitting room market projected to reach $6.46 billion by 2026 (MarketsandMarkets)
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.
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).
Virtual Try-On Pro
Virtually try on clothes: website + chrome extension
47
Problem
Users struggle to visualize how clothes will look on them before making a purchase, leading to uncertainty and potential returns.
Solution
A website and chrome extension that utilizes advanced AI for virtual try-ons, allowing users to preview how clothes will look on themselves or their loved ones before buying.
Customers
Fashion enthusiasts, online shoppers, individuals looking for convenient and accurate ways to try on clothes virtually.
Unique Features
Advanced AI technology for accurate virtual try-on experiences, compatibility with popular stores offering a wide range of clothing options for mix and match.
User Comments
Accurate and fun way to try on clothes virtually before making a purchase.
Helps in making confident clothing choices online.
Saves time and reduces the hassle of returning ill-fitting clothes.
Traction
Growing user base with positive reviews and increasing popularity in the online shopping community.
Market Size
The global online clothing market was valued at approximately $759 billion in 2021, indicating a huge potential market for virtual try-on solutions in the fashion industry.
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.
Change Clothes AI
AI Clothes Changer Online, Change Clothes With AI
6
Problem
Users struggle to visualize themselves in different outfits before making a clothing purchase or styling decision.
Solution
An online outfit changer powered by AI that allows users to easily swap clothes in their photos by uploading a portrait and garment image, generating a new image to experiment with different looks.
Customers
Fashion enthusiasts, online shoppers, stylists, and social media influencers
Alternatives
View all Change Clothes AI alternatives →
Unique Features
AI-powered outfit swapping between portrait and garment images
User Comments
Easy to use and fun tool to try out different outfits virtually
Accurate clothing swaps that look realistic in the images
Saves time and effort in deciding on outfits for various occasions
Great for online shopping to see how clothes would look before buying
Traction
This product has gained significant traction with over 20,000 users actively using the AI outfit changer feature.
Market Size
The global virtual try-on market for fashion was valued at approximately $3.1 billion in 2020, with a projected compound annual growth rate of 22.3% from 2021 to 2028.
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.