About
SmileTune is a cutting-edge face editing application that leverages advanced AI technology to allow users to reshape expressions and enhance facial features in photos easily and precisely. It offers tools to add various expressions, adjust head positions, and refine facial details while maintaining a natural appearance. The app supports diverse input types, including real photographs, AI-generated portraits, and even anime, processed locally to ensure user privacy. Key features include expression transfer with over 100 templates across different moods, 3D face rotation for multi-directional adjustments, and customizable facial enhancements. Users can save edits with the app's logo for free or remove the logo by purchasing credits, ensuring versatile sharing options.
Competitive Advantage
Offers realistic and privacy-centric editing with extensive expression options processed locally.
Use Cases
Pros
- Localized processing for privacy
- Realistic natural results
- Versatile editing capabilities
- Extensive expression templates
Cons
- High RAM requirement
- Limited to iPhone/iPad
- Extra cost for logo-free saves
- In-app purchase for credits
Tags
Pricing
Who uses SmileTune?
Features and Benefits
Expression Transfer
Transfer facial expressions using over 100 templates across various moods, allowing users to change expressions effortlessly.
3D Face Rotation
Offers precise 3D rotation in pitch, yaw, and roll directions to adjust and align faces perfectly in photos.
Face Enhancement
Automatically enhances facial features while preserving a natural look, with customizable intensity.
Target Audience
Frequently Asked Questions
SmileTune processes all edits locally on your device to ensure your photos remain private.
SmileTune is available for iPhone and iPad devices with at least 5GB of RAM.
Yes, SmileTune supports editing various input types, including AI-generated portraits and anime images.
Logo-free saves require purchasing credits through in-app purchases.
Over 100 expression templates across 10 moods, from happy to angry, are available for transferring facial expressions.
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