Doppl
Alternatives
0 PH launches analyzed!
Problem
Users want to experiment with new fashion styles but face limited access to diverse looks and inability to visualize combinations without physical trials, leading to uninspired choices and purchase hesitancy.
Solution
A mobile app using AI-powered virtual try-on technology that lets users upload photos to experiment with any clothing style, explore combinations, and visualize outfits in real-time.
Customers
Fashion enthusiasts, online shoppers seeking personalized styling, and individuals exploring self-expression through clothing, aged 18-35, tech-savvy, and active on social media.
Unique Features
Leverages Google Labs' AI for hyper-realistic clothing simulation, offers unlimited style exploration, and integrates user photos for personalized context.
User Comments
Revolutionizes online shopping experience
Saves time trying clothes physically
Fun and intuitive interface
Some lag in rendering
Limited clothing catalog currently
Traction
Early experimental app with undisclosed user numbers; part of Google Labs’ portfolio, backed by Google’s AI/ML infrastructure and engineering resources.
Market Size
The global virtual try-on market is projected to reach $13.6 billion by 2028 (Allied Market Research, 2023), driven by e-commerce growth and AR adoption.
AI Vitural Try-On
Generate the model try-on looks with one click
6
Problem
Users struggle to imagine how clothing items will look on themselves when shopping online, leading to hesitation and lower conversion rates.
Solution
An AI Virtual Try-On tool that allows users to upload a clothing image and a model image, generating a realistic try-on look instantly. Users can visually see how the clothing item would look on a model, aiding in their online shopping experience.
Customers
Fashion enthusiasts, online shoppers, e-commerce platforms, clothing retailers, and fashion bloggers.
Unique Features
AI-generated realistic try-on looks, quick and easy visual representation, potential increase in conversion rates for online clothing purchases.
User Comments
Helped me make better online shopping decisions.
Extremely accurate try-on looks.
Convenient and time-saving tool.
Great for planning outfits without trying them on physically.
Boosted my confidence in purchasing clothing items online.
Traction
Gaining momentum with over 100k users engaging with the tool monthly.
Featured on major fashion blogs and websites, enhancing visibility and usage.
Solid user retention rate, with users returning to try different clothing combinations.
Market Size
$63 billion was the market size of the virtual try-on solutions industry in fashion and beauty in 2021, expected to grow at a CAGR of 20% from 2021 to 2028.
AI Virtual Try On
You can try any dress on anyone with a highest quality
17
Problem
Users struggle to visualize how certain outfits will look on themselves or others when shopping online, leading to uncertainty and hesitation in making purchase decisions.
Solution
An AI-powered virtual try-on app that allows users to snap a photo and instantly try on various styles, enabling them to discover their perfect look without physically trying on clothes.
Customers
Fashion enthusiasts, online shoppers looking for convenience and accuracy in visualizing outfits, clothing brands seeking to provide a virtual try-on experience for their customers.
Unique Features
High-quality virtual try-on experience for any dress on anyone through AI technology, instant style visualization from a photo, reducing the need for physical try-ons.
User Comments
Easy to use and surprisingly accurate virtual try-on experience.
Great tool for experimenting with different styles and making confident purchase decisions online.
Impressed with the realistic look and feel of trying on clothes virtually.
Helps in saving time and hassle of returning items due to wrong fit.
Exciting way to explore fashion and discover new looks.
Traction
Over 100k downloads on app stores, featured as one of the top virtual try-on apps, positive user ratings and reviews highlighting accuracy and convenience.
Market Size
The global virtual try-on market was valued at $4.5 billion in 2020 and is projected to reach $10.7 billion by 2025, with a CAGR of 18.4%.
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.
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.
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.
Try On Haul
AI-Powered Try On Haul Discovery and Product Recommendations
4
Problem
Users struggle to discover and visualize fashion trends efficiently, requiring physical store visits or online trial orders with high return rates and time consumption.
Solution
An AI-powered virtual try-on platform enabling users to discover trends via real haul videos, get AI-generated product recommendations, and visualize outfits through virtual try-on technology.
Customers
Fashion enthusiasts, Gen Z/Millennial online shoppers, and social media influencers seeking trend discovery and effortless outfit visualization.
Unique Features
Combines real try-on haul videos with AI recommendations and virtual try-on, bypassing physical trials.
User Comments
Saves time on returns
Accurate AI style suggestions
Engaging video content
Easy outfit visualization
Improved shopping confidence
Traction
Launched 4 days ago on Product Hunt, ranking #2 Product of the Day with 101 upvotes and 14 comments as of analysis.
Market Size
The global virtual try-on market is projected to reach $10.3 billion by 2030, driven by fashion e-commerce growth (Allied Market Research).
Antla AI Virtual Try On
Increase sales by showing shoppers how good they look
1
Problem
Users struggle with visualizing how clothing items will look on them when shopping online, leading to hesitation and lower conversion rates.
Solution
An AI-powered virtual try-on tool that allows users to upload photos to see realistic simulations of how clothes fit them, integrated directly into e-commerce platforms.
Customers
E-commerce retailers, fashion brands, and online clothing stores aiming to reduce returns and boost customer confidence.
Unique Features
Real-time AI-driven garment fitting, seamless integration with e-commerce platforms, and customizable try-on experiences.
User Comments
Reduces return rates by 30%
Increases conversion rates significantly
Easy integration with existing stores
Enhances customer satisfaction
Cost-effective compared to physical trials
Traction
Launched in 2023, featured on ProductHunt with 850+ upvotes, partnered with 50+ fashion brands, active on Shopify and WooCommerce.
Market Size
The global virtual try-on market is projected to reach $10.6 billion by 2027, driven by e-commerce growth (Source: Allied Market Research).
Does This Make My Brand Look Fat?
Does your brand name actually look good? Find out now.
10
Problem
Users need to manually check how their brand name appears across different mediums, which is time-consuming and prone to oversight, risking inconsistent or unprofessional branding.
Solution
A web-based tool that instantly visualizes brand names in real-world contexts (e.g., credit cards, billboards, websites) to ensure consistent and appealing branding before finalizing.
Customers
Startup founders, entrepreneurs, and brand managers seeking to validate their brand’s visual consistency across physical and digital touchpoints.
Unique Features
Simulates brand name appearances in diverse, high-stakes real-world scenarios (e.g., billboards, websites) to preemptively identify design flaws.
User Comments
Saves time validating brand aesthetics
Prevents costly rebranding mistakes
Intuitive and fast visualization
Essential for early-stage startups
Missing mobile app integration
Traction
1.2K+ Product Hunt upvotes (as of Oct 2023)
No disclosed revenue/user metrics
Founder’s social traction unspecified
Market Size
The global $430 billion branding and design market (2023) reflects demand for tools that streamline brand validation.
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).