About Depthify.ai
Transform standard videos/photos into immersive 3D spatial content using AI-powered depth estimation. Compatible with Apple Vision Pro and Meta Quest for VR/AR applications. Offers cloud conversion and desktop tools with HEIC/MV-HEVC output.

Overview
- 3D Spatial Conversion Tool: Depthify.ai transforms standard RGB images and videos into 3D spatial formats compatible with devices like Apple Vision Pro and Meta Quest using monocular depth estimation networks.
- Depth Mapping Technology: Leverages neural networks to generate metric depth maps from 2D inputs, enabling stereo image creation for immersive 3D visualization.
- Cross-Platform Compatibility: Supports output in .HEIC images and MV-HEVC video formats optimized for VR/AR headsets and 3D modeling workflows.
Use Cases
- VR Content Enhancement: Converts existing 2D media libraries into spatial formats for immersive virtual reality exhibitions or product demos.
- Computer Vision Development: Generates training data with depth maps for machine learning models requiring 3D spatial understanding.
- Archival 3D Conversion: Preserves historical photos/videos in future-proof spatial formats compatible with next-gen display technologies.
Key Features
- File Format Flexibility: Accepts .jpg, .png (images) and .mp4, .mov (videos) inputs for conversion into spatial media outputs.
- Real-Time Mesh Visualization: Provides interactive 3D mesh previews via three.js browser integration for quality control during processing.
- Device-Optimized Encoding: Automatically configures output settings for Apple Vision Pro and Meta Quest displays to ensure optimal viewing experiences.
Final Recommendation
- Essential for VR Developers: Streamlines creation of device-specific spatial content without requiring specialized 3D modeling expertise.
- Valuable for Digital Archivists: Provides cost-effective solution for upgrading legacy media collections to emerging 3D standards.
- Recommended for Cross-Platform Creators: Ideal solution unifying content production pipelines for both Meta and Apple ecosystems.
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