ScanTo3D | OpalAi vs Text-To-4D
Compare ScanTo3D | OpalAi vs Text-To-4D and see which AI 3D Generation tool is better when we compare features, reviews, pricing, alternatives, upvotes, etc.
Which one is better? ScanTo3D | OpalAi or Text-To-4D?
When we compare ScanTo3D | OpalAi with Text-To-4D, which are both AI-powered 3d generation tools, The community has spoken, Text-To-4D leads with more upvotes. Text-To-4D has been upvoted 26 times by aitools.fyi users, and ScanTo3D | OpalAi has been upvoted 6 times.
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ScanTo3D | OpalAi
What is ScanTo3D | OpalAi?
ScanTo3D by OpalAi is a 3D generation app for iPhone Pro and iPad Pro that turns LiDAR walkthrough scans into floor plans, point clouds, and BIM-ready models. You walk through a space with your phone, capture geometry in InstaCAD or LiDAR mode, and export digital twins in formats like OBJ, GLTF, STL, and USDZ. It targets property owners, contractors, and facility teams who need as-built documentation without hauling a dedicated scanner.
Compared to renting tripod LiDAR hardware, ScanTo3D trades equipment cost for device requirements and optional cloud processing. InstaCAD mode builds 2D floor plans and 3D CAD models in real time for spaces under 2,000 square feet, while LiDAR mode handles larger environments with no hard size cap though OpalAi recommends keeping each scan under about 5,000 square feet.
Site managers, real estate teams, and construction sales staff use it for quick floor plans, ANSI-compliant gross living area calculations, and textured 3D exports. OpalAi claims less than 1 inch of error per 30 feet and about 98% accuracy on generated floor plans and BIM objects.
Text-To-4D
What is Text-To-4D?
Text-To-4D is a Meta AI research project (MAV3D) that generates three-dimensional dynamic scenes from text descriptions. The method uses a 4D dynamic Neural Radiance Field optimized for appearance, density, and motion consistency by querying a text-to-video diffusion model.
Unlike static 3D generators that output a single mesh, Text-To-4D produces scenes you can view from any camera angle and composite into other 3D environments. The approach needs no 3D or 4D training data; the underlying text-to-video model trains only on text-image pairs and unlabeled videos.
The project page hosts demo samples for text-to-4D prompts like "a corgi playing with a ball" and image-to-4D conversions from still photos. It is a research showcase, not a commercial product with a public API or signup. Researchers and 3D artists interested in NeRF-based dynamic scene generation can explore the paper and sample outputs on the site.
ScanTo3D | OpalAi Upvotes
Text-To-4D Upvotes
ScanTo3D | OpalAi Top Features
InstaCAD mode builds 2D floor plans and 3D CAD models in real time while you scan
LiDAR mode captures point clouds with no property size limit on supported devices
Exports OBJ, GLTF, GLB, STL, FBX, USDZ, PCD, PLY, LAS, and e57 formats on Pro
Accuracy under 1 inch per 30 feet with about 98% floor plan accuracy claimed
Works on iPhone Pro and iPad Pro devices with built-in LiDAR cameras
Cloud upload delivers processed 2D and 3D floor plans in 1 to 2 business days
ANSI-compliant gross living area calculations included with uploaded scans
Text-To-4D Top Features
Generates 3D dynamic scenes from text prompts via MAV3D (Make-A-Video3D)
4D dynamic NeRF optimized for appearance, density, and motion consistency
View generated scenes from any camera location and angle
Image-to-4D mode converts still photos into dynamic video scenes
Trained only on text-image pairs and unlabeled videos, no 3D/4D data required
Published research paper on arXiv (2301.11280) with interactive demo samples
ScanTo3D | OpalAi Category
- 3D Generation
Text-To-4D Category
- 3D Generation
ScanTo3D | OpalAi Pricing Type
- Freemium
Text-To-4D Pricing Type
- Free