Sushidentify
Discover your true self
Archived App (Last seen on 13 May 2026)
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
Identify sushi from your photos with this app. Simply upload an image and let the AI recognize the dish, providing its name. It's designed for both sushi lovers and newcomers to explore the diverse world of sushi.
What's New in Sushidentify
1.0
October 21, 2023
Developer apps
FAQ
What is Sushidentify?
Sushidentify is a mobile application designed to identify sushi dishes from user-submitted photographs. It utilizes machine learning technology to recognize and name various types of sushi.
How does Sushidentify work?
To use Sushidentify, you tap to select a sushi picture from your device. Then, you tap 'Sushi-Chef' to initiate the identification process, and the app will tell you the name of the sushi.
How many types of sushi can Sushidentify identify?
Currently, Sushidentify is capable of identifying 30 different kinds of sushi. The app aims to improve its identification capabilities over time.
Is Sushidentify suitable for beginners?
Yes, Sushidentify is designed for both sushi enthusiasts and beginners. Its user-friendly interface makes it easy for anyone to explore and learn about different sushi types.
What devices does Sushidentify support?
Sushidentify is available for iPhone and iPad devices. It was released on October 21, 2023, and its latest version is 1.0.
What is the age rating for Sushidentify?
Sushidentify has an age rating of 4+, making it suitable for a wide range of users. The app focuses on food identification and learning.
Does Sushidentify have ads?
No, Sushidentify does not contain advertisements. The app is completely free to download and use without any interruptions from ads.
What is the user feedback on Sushidentify?
Based on the available data, Sushidentify has received 1 rating with an average of 1.0 stars. This indicates a very low user satisfaction score at this time.