Solaya vs RadianceCap

Solaya transforms your iPhone Pro into a professional-grade 3D studio. Designed for brands, creators, and developers, Solaya is the ultimate tool to turn physical objects into photorealistic 3D models in minutes. By leveraging state-of-the-art reconstruction technology, we deliver the unrivaled realism required for high-end marketing campaigns and digital storefronts. PROFESSIONAL 3D CAPTURE Forget expensive rigs and complex hardware. Solaya allows you to capture any object in 360° simply by walking around it. Our AI-driven pipeline automatically handles lighting, depth, and geometry, ensuring every scan meets professional standards without requiring technical expertise. BUILT FOR COMMERCE & WEB Stop settling for heavy, low-quality scans that slow down your site. Solaya produces lightweight, web-ready 3D models optimized for the modern web. High Fidelity: Capture intricate details and textures that standard LiDAR scans miss. Smart Compression: Create high-performance assets (30MB–60MB) that load instantly on mobile browsers. Seamless Integration: Perfectly optimized for AR, digital twin workflows, and embedding into your existing product pages. PRO FEATURES & WORKFLOW Next-Gen Reconstruction: Experience the superior visual quality of Gaussian Splatting technology. Industry Standard Exports: High-quality .ply support for professional post-production. Creative Pipeline: Effortlessly move your models into your favorite design and rendering software. Enterprise Ready: Commercial usage rights are included, with dedicated solutions for PIM and DAM workflows. WHY SOLAYA? While other apps focus on casual scanning, Solaya is engineered for quality. Our proprietary pipeline ensures your products look exactly like the real thing, making it the ideal choice for retail, architectural visualization, and digital archiving. Note: Solaya requires an iPhone Pro model for high-fidelity capture. Solaya offers a variety of ways to explore our AI features. While you can use the app for free with limited access, advanced features and additional usage require a purchase. Choose the path that works best for you: - Monthly Subscription: A month-to-month membership that begins at sign-up. You can easily cancel at any time, online, 24 hours a day. There are no long-term contracts or cancellation fees. - Credit Packs: If you prefer not to have a monthly commitment, you can purchase individual credit packs as needed to unlock specific features and content. Please note that the App Privacy information applies to information collected through the Solaya iOS app. See the Solaya Privacy Statement (link below) to learn more about information we collect in other contexts, including account registration. Privacy policy: https://solaya.ai/privacy Terms of use: https://www.solaya.ai/terms Email: contact@solaya.ai

RadianceCap is the iPhone capture app for sensor-rich 3D scenes. It stores the known camera pose, optics, and LiDAR depth information with every photo, creating a reliable foundation for processing in RadianceKit on the Mac. GUIDED CAPTURE • Single-frame or automatic capture based on time and movement • Live camera-path and photograph-supported LiDAR surface display • Profiles for details, rooms, and larger subjects • Sound, haptic, or visual-only capture feedback UNDERSTAND QUALITY • Warning for images that are clearly at risk of blur • A red prohibition symbol identifies safely stored images excluded from training • Exposure guidance and transparent capture statistics MANAGE YOUR OWN SCENES • Review, name, annotate, and share captures • Include or exclude images before training • Transfer with AirDrop, Share, or Files • Optional sync through the private iCloud storage of your own Apple account • Optional Apple Watch controls for start, pause, and feedback PRIVATE BY DEFAULT New scenes stay on the iPhone first. RadianceCap requires no account, contains no advertising, and does not track you. iCloud becomes active only after explicit consent. New captures require a LiDAR-capable iPhone running iOS 17 or later. Gaussian Splatting training takes place in RadianceKit for Mac, available separately.