Description
TripoSR is an AI 3D reconstruction platform that turns 2D images into high-quality 3D models using deep learning. It supports both image-to-3D and text-to-3D generation, using neural surface reconstruction and diffusion-based modeling to produce accurate results for creators, developers, and researchers building digital assets.
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Model generation typically takes 30 seconds to two minutes depending on image complexity and server load. The platform runs on a credit system, with each plan including a set number of credits and each generation consuming a fixed amount, and a free tier lets users try the service with limited credits before upgrading.
TripoSR is built on the open-source VAST-AI-Research/TripoSR project, released under the MIT License and maintained by contributors on GitHub. It is applied in architecture, game development, virtual reality, product design, and education, and works best with clear, well-lit input images; highly complex or occluded scenes and low-quality photos can reduce accuracy.
- Category3D Model Generators
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
TripoSR's Core Features
Image-to-3D reconstruction from a single 2D image
Text-to-3D generation from written prompts
Neural surface reconstruction with diffusion-based modeling
Fast generation, typically 30 seconds to 2 minutes
Credit-based plans with a free tier to try the tool
Downloadable models with full user ownership
Built on the open-source, MIT-licensed TripoSR project
How to use TripoSR?
Choose a mode: Pick image-to-3D or text-to-3D generation.
Provide input: Upload a clear, well-lit 2D image or enter a text prompt.
Generate: Run the AI engine and wait roughly 30 seconds to two minutes for the model.
Download and use: Save your 3D model and use it in personal or commercial projects per your plan's terms.
TripoSR's Use Cases
- Game development
- Product design
- AR and VR
- Education and research
