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What is EPIK?
EPIK - AI Photo Editor is an advanced application that harnesses artificial intelligence to enhance and transform images. Offering a wide range of tools, it empowers users to improve, refine, embellish, and significantly alter their photographs. For example, users can:
・ Modify the color balance of their images
・ Sculpt the facial features of subjects in their photos
・ Create full-body portraits
・ Try out different hairstyles
・ Add fashionable filters and effects for unique lighting
・ Boost image quality by enhancing clarity and resolution
・ Use AI technology to smooth skin by removing blemishes
・ Take advantage of intelligent AI cutout features to precisely isolate individuals, objects, and animals
・ Effortlessly eliminate unwanted elements from their pictures
・ Craft custom characters using innovative AI filters
・ Alter hairstyles and expressions for a refreshed look
The application has become quite popular, particularly due to its AI Yearbook feature, which compiles a set of eight to twelve selfies to generate sixty unique images of the same person. These AI-created pictures showcase a diverse array of hairstyles, outfits, and poses, providing users with a fun way to experiment with their appearance. Furthermore, the app's adaptability ensures it caters to both everyday users and professional photographers, making it a valuable tool for anyone looking to enhance their images. Its broad functionality allows users to unleash their creativity like never before.
What is Doppl?
Doppl is a cutting-edge experimental application created by Google Labs that invites users to explore various fashion styles by uploading their own full-body photos or selecting from an array of AI-generated models. This innovative app facilitates virtual try-ons of different clothing pieces, such as tops, bottoms, and dresses, which can be sourced from images saved on social media or screenshots from the camera roll, while also integrating engaging video animations to enrich the overall experience. The app features a straightforward setup guide and provides tips for achieving the best photo quality, highlighting the importance of using high-resolution, form-fitting images taken in bright, even lighting. To assist users further, Doppl also includes recommendations on how to capture the most flattering outfit photos. Users might find that the generated outputs can carry subtle digital watermarks and may occasionally misrepresent fit, body shape, or garment details, and there is no guarantee regarding size availability or fit suggestions. Furthermore, users can easily download or share both animated and static fashion styles, manage their Looks gallery by removing items, and offer feedback through the app's menu. In situations where outfit images are incomplete or unsupported, Doppl creatively compensates by filling in the gaps or reverting to a basic appearance, ensuring a smooth and intuitive user journey. Ultimately, this application not only enhances personal expression but also encourages a deeper exploration of fashion possibilities, making it a valuable tool for style enthusiasts.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Snow
Date Founded
2015
Company Location
South Korea
Company Website
epik.snow.me/
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
labs.google/doppl