The Microsoft Selfie app helps you take great self-portraits -- on your iPhone. Developed for their competitor's devices, this iOS app goes beyond Windows to appeal to a broader audience in an increasingly mobile-first market and smartphone-carrying world.
It is designed to help you take high quality selfies by taking your age, gender, lighting, skin tone and other variables into account. Unlike other selfie apps that might just give you a variety of filters to work with, Microsoft Selfie "applies different models automatically and finishes enhancements with just a single click." This enables users to improve photos in seconds, taking up much less time if you're only taking pictures of yourself as a procrastination method. Other features include automatic exposure, color theme, intelligent enhancement and noise reduction.
Competitor Selfie Apps
The Microsoft Selfie App is Developed for iOS Devices Instead of Windows
Trend Themes
1. Competitor Selfie Apps - Developing an app for a competitor's device allows businesses to expand their market reach and capitalize on the increasing mobile-first market trend.
2. Automated Photo Enhancement - Automatically enhancing photos with custom models and filters reduces the time and effort required for editing, creating a disruptive innovation opportunity for photo editing apps.
3. Personalized Photo Editing - Using variables such as age, gender, lighting, and skin tone to personalize photo editing creates new opportunities for selfie apps to enhance their users' experience.
Industry Implications
1. Smartphone App Development - Developing smartphone apps that range beyond a company's own device operating systems opens up new marketing possibilities and fosters a competitive edge over others in the smartphone market.
2. Photography and Photo Editing - Customizable and personalized photo editing features can be disruptive innovation opportunities for companies that focus on photography and photo editing, enhancing the user's experience by minimizing the time and effort required.
3. AI and Machine Learning - Using artificial intelligence and machine learning to automatically enhance photos with personalized variables can disrupt the traditional photo editing industry.