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Artisse launches new AI photography app

Image Credit: Artisse Interactive

Artisse Interactive, a tech platform has launched its mobile app Artisse. 

The app works as a generative image platform used to create hyper-realistic self-portraits in any setting, posture, or expression.

The unique AI algorithm transforms selfies into high-quality images and allows users to personalise every detail. 

It is crafted to cater to diverse users, meeting the needs of individuals looking to produce professional-grade photos for their social media profiles and providing businesses with refined advertisement images.

Changing lives

Artisse is a bootstrap operation and independent venture built from the ground up with a diverse team. 

It has a strong female presence across the team, including an all-female team in China. 

The team has ensured the app incorporates the personal stories of people from around the world. 

With Artisse, users can be the authors of their personal stories and become the adventurer they have always wanted to be. 

It enables them to visualise themselves in a range of scenarios, outfits, hairstyles, and more. 

For example, users can picture themselves swimming with dolphins or trekking across the arctic circle – all from the comfort of their own homes. 

Use cases like these resonate deeply with the team at Artisse and fuel their desire to enhance lives through the power of AI photography.

Global localisation 

CEO William Wu says: “Personal photos serve as life’s most cherished language – a universal way to preserve moments, express our unique perspectives, and help us stay connected and make friends. 

“Every day, we take more than 2.3 billion photos across the globe. Yet, the process of capturing the perfect shot remains complex, time-consuming, and out of reach for many. We want to make beautiful photography accessible to everyone.”

Artisse has localised language support for 35 languages covering all major geographies including major Asian languages such as Chinese, Japanese, and Korean, areas where AI-powered photo applications have already experienced substantial adoption.