4.1
5,709 則評分
★★★★☆
2025年11月3日
2022年6月13日
更新內容
v1.3.4- Improve app performance for smoother user experience.
應用資訊
- 開發者
- Manh Nguyen hong
- 分類
- Photo & Video
- 價格
- 免費
- 版本
- 1.3.4
- App ID
- 1628951981
簡介
Do you wonder what you will look like when you're older? Now you can find out with our app ! Choose one of our fun functions and create your own funny pictures. TIME MACHINE Take a selfie from your phone camera or select a photo from your gallery. Choose the desired age and see the amazing results. The application will recognize your face and turn it into your desired age. This will be a surprise and fun worth waiting for! GENDER SWAP Have you ever wondered what it would be like if you converted to the other gender? Transform into a beautiful woman with long hair or a man with a cool beard in seconds! Take a photo or upload it wait a few seconds and you will be surprised with the results. YOUNG EFFECT With AI-powered technology, you can go back to your childhood again. You can easily look younger with smooth skin or go back to your childhood to see how lovely you already are. CELEBRITY LOOK ALIKE CELEBRITY LOOK ALIKE will show you which celebrity or historical figure resembles you! Try it now to see if the results surprise you! How Will I Look When Im Older Premium Subscription auto-renew at the end of subscription period, unless cancelled 24-hours in advance prior to the end of the current period. The subscription fee is charged to your iTunes account at confirmation of purchase. You may manage your subscription and turn off auto-renewal by going to your Account Settings after purchase. Per Apple policy, no cancellation of the current subscription is allowed during active subscription period. Once purchased, refunds will not be provided for any unused portion of the term. Terms of use: https://sites.google.com/view/what-i-look-like-when-i-am-old/terms-of-use Privacy policy: https://sites.google.com/view/what-i-look-like-when-i-am-old/privacy-policy
下載量預測
預估總下載量
6K
低 / 月
8K
預估 / 月
15K
高 / 月
基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。
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