What happened?
Google launched the experimental app 'Doppl,' where users only need one full-body photo to preview how any clothing would look on themselves through AI, even generating animations to make the virtual fitting experience more realistic and lively.
The biggest highlight of Doppl is its support for clothing images from various sources, whether it's street photography, social media screenshots, or clothes worn by friends; AI can instantly simulate them on the user, creating a highly flexible fitting experience.
The virtual try-on market is expected to reach $46.4 billion by 2030, helping to improve purchase conversion rates, reduce return rates, and accelerate the fashion industry's customization and sustainable development pace, becoming a new battleground for technology.
Google launched an experimental app that allows realistic try-ons with just one photo.
Tech giant Google recently launched a brand new experimental app 'Doppl,' which, through AI technology, allows users to instantly preview how they would look in specific clothing with just one full-body photo on their phones, and even generates animated visuals, significantly upgrading the 'virtual try-on' experience.
According to a report by TechCrunch, the operation of Doppl is very intuitive. Users upload a full-body photo of themselves, and the app creates an 'animated version of themselves' to serve as a virtual model. Then, with just any photo of clothing, whether it’s a snapshot of a friend's outfit, an item seen in a thrift store, or even a screenshot of a look from social media, Doppl can simulate how this outfit would look on the user.
Furthermore, Doppl does not just 'stick' clothing onto the model; instead, it uses AI to convert static images into animated visuals, allowing you to see the clothing in motion, presenting the fabric's drape and the three-dimensional effects of the design more realistically.
The highly 'open' fitting mode is Doppl's biggest highlight. Unlike traditional e-commerce platforms that only allow trying on items from their website, Doppl supports images from all sources. As long as you see clothing you like on the street or on Instagram, you can try it on in the app.
Doppl also offers social interaction features, allowing users to save their favorite styles or directly share fitting results with friends.
Currently, this app is available in the United States and supports iOS and Android systems. However, Google has not disclosed whether it plans to expand to other markets.
Image source: X
Doppl is still in the experimental stage
In fact, as early as May of this year, Google Shopping launched the 'virtual try-on' feature, allowing consumers to simulate the wearing effects of different clothing styles on models. However, the feature at that time was still primarily focused on showcasing on other models.
The launch of Doppl shifts the focus back to the 'user,' no longer just about 'seeing others wear' or 'imagining oneself wearing,' but rather through AI technology to 'actually see' the clothing on oneself. Google states that the creation of this application aims to help people 'explore personal style in a novel and interesting way' and to enhance self-expression through technology.
Google admits that this product is still in the experimental stage and that there are still many areas for improvement. For instance, the clothing size, detail presentation, and overall wearing effect may be slightly different from the actual situation. Google is also calling on users to provide feedback on their official website to help the team optimize future user experiences.
What is the charm of the virtual try-on market?
Research reports indicate that the global virtual try-on market was approximately $9.2 billion in 2023, and it is expected to soar to about $46.4 billion by 2030, with a compound annual growth rate of 26.4% from 2024 to 2030. The overall fashion technology industry is also substantial, with a projected market value of about $259.7 billion in 2024, expected to exceed $434 billion by 2033.
Social media platform Snap and fashion brand Zara have previously entered the virtual try-on market using technologies such as filters or smart fitting mirrors. Industry analysis indicates that virtual try-on solutions have the potential to increase clothing e-commerce sales by 10% to 15%, while reducing return rates by 5% to 10%, resulting in a profit increase of 2% to 4%.
For brands and e-commerce, this also means that customer complaints can be relatively reduced and reverse logistics costs lowered, which helps improve operational efficiency and develop in a more sustainable direction. At the same time, virtual try-ons accelerate the digital transformation of the fashion industry, allowing businesses to provide more accurate personalized recommendations and customized services that cater to consumer preferences and needs.
This article is reproduced with permission from Web3+.
Original title: (Try on all clothes with just one photo! Google launches AI fitting app 'Doppl,' how big is the virtual try-on business opportunity?)
Original author: Li Pengrui
'Google AI Fitting App 'Doppl' is so powerful! Try on all clothes with just one photo' was first published in 'Crypto City.'