Orikealn - AI Q-Portraits
家国 田
Orikealn helps you turn a personal photo into a Q-version figurine image with an AI model. All information is handled locally on your device, and information is kept only on your device. When you actively delete your content, it is deleted. Orikealn does not collect any facial data and does not use facial recognition. The experience is simple and focused. Open Home and move directly to Create. Choose a photo from your gallery or take a new photo with the camera, then select one of three built-in visual styles: Cute, Cool, or Retro. Orikealn creates one figurine image for each generation request. Your generated results are organized in Works for easy review. You can open each image in detail view, switch to full-screen viewing, zoom for closer inspection, save to your photo library, share with system share options, or remove items you no longer need. Privacy is treated as a core part of the product design. Information is handled locally on your device, and information remains on your device until you decide to remove it. If you delete a work, that image is removed from local storage. Orikealn does not collect, store, or build facial profiles. Settings includes a clear privacy commitment section and quick access to the Privacy Policy and Terms of Service. This helps you understand how Orikealn handles information while keeping the app workflow straightforward and transparent. Orikealn is designed for people who want a clean figurine creation flow without unnecessary steps: choose a photo, pick a style, generate, review, save, share, or delete. Throughout this process, information handling remains local to your device, and Orikealn does not collect any face information. Subscription Plans: 1 Month, Price: $20.99 /Monthly, 6 Months, Price: $99.99 /6-Month, 1 Year, Price: $160.99 /Yearly User Agreement https://orionevry.com/contract/UserAgreement.html Privacy Policy https://orionevry.com/contract/PrivacyPolicy.html Subscription Terms https://orionevry.com/contract/SubscriptionAgreement.html