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Description
Doppl is an innovative experimental application developed by Google Labs that allows users to experiment with various styles by either uploading a full-body photograph or choosing from an AI-generated model. This app enables virtual fittings of different clothing items, including tops, bottoms, and dresses sourced from users' saved images on social media or camera roll screenshots, while also incorporating dynamic video animations to enhance the user experience. It provides a step-by-step setup process and offers recommendations for achieving optimal photo quality to ensure accurate style representation, emphasizing the need for high-resolution, full-body, form-fitting images captured in bright, uniform lighting. Additionally, the app includes helpful suggestions for capturing the best outfit photos. The outputs generated may include subtle digital watermarks and can sometimes feature inaccuracies regarding fit, body shape, or garment specifics, without guaranteeing size availability or fit recommendations. Users have the capability to download or share both static and animated styles, as well as manage their Looks gallery by deleting items and providing feedback through the in-app menu. In cases where outfit images are either incomplete or not supported, Doppl creatively fills in the missing pieces or defaults to a basic look, allowing for a seamless user experience. Overall, this app opens up new avenues for personal expression and fashion exploration.
Description
Zeekit introduces an innovative and engaging shopping experience tailored for fashion brands. With our unique technology, users can virtually try on any clothing item available online. Established by Yael Vizel, Nir Appleboim, and Alon Kristal, Zeekit merges fashion with technology to create the first ever dynamic virtual fitting room, allowing individuals to visualize themselves in various outfits found on the internet. Utilizing advanced real-time image processing, our patented system segments a person's image into thousands of parts. Similarly, clothing items undergo a comparable segmentation process, and these corresponding points are then re-mapped to create a complete simulation that showcases an individual fully dressed, taking into account their body measurements, fit, and the characteristics of the fabric. This cutting-edge approach not only enhances the shopping experience but also empowers customers to make informed purchasing decisions.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
labs.google/doppl
Vendor Details
Company Name
Zeekit
Founded
2014
Country
Israel
Website
zeekit.me/
