
About
Enhance your product photography with an AI-powered camera. Visualize attention-grabbing areas in real-time and predict image captivation to boost sales for e-commerce and social media sellers.
What's New in PhotoScore AI
2.0
September 23, 2025
We constantly work to improve the app. The new version has a more comfortable UX and an enhanced AI model.
User reviews
FAQ
What is PhotoScore AI?
PhotoScore AI is an AI-powered camera application designed to help e-commerce sellers and social media vendors improve their product photography. It provides features like real-time attention heatmaps and an attention score to predict image captivation.
How does PhotoScore AI help boost sales?
By visualizing attention heatmaps and predicting how captivating an image will be, PhotoScore AI helps users create professional-quality photos that stand out. This increased visual appeal is intended to drive engagement and ultimately boost product sales on platforms like Amazon, Etsy, and Instagram.
Can I analyze photos I've already taken with PhotoScore AI?
Yes, PhotoScore AI allows you to upload your existing photos for analysis. This feature helps you enhance the appeal of current product images and improve their visibility in online marketplaces.
What platforms is PhotoScore AI available on?
PhotoScore AI is currently available on iPhone. The app supports iOS devices and was last updated on September 23, 2025.
Is PhotoScore AI free to use?
Yes, PhotoScore AI is available for free. There are no in-app purchases or advertisements mentioned for this application.
What is the age rating for PhotoScore AI?
PhotoScore AI has an age rating of 4+. This indicates it is suitable for users of all ages.
How often is PhotoScore AI updated?
The latest version of PhotoScore AI is 2.0, and it was last updated on September 23, 2025. This suggests regular updates to improve functionality and performance.
What do users think of PhotoScore AI?
PhotoScore AI has received a perfect rating of 5.0 stars from one review. This indicates a highly positive user sentiment based on available feedback.




