Text-to-3D generation
Creates 3D assets from natural-language descriptions.
AI 3D workspace and API for generating, texturing, segmenting, rigging, and exporting models from text or images.
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Creates 3D assets from natural-language descriptions.
Builds models from single-image or supported multi-view references.
Generates and edits surface appearance for created assets.
Splits complex models into more manageable parts.
Provides workflows for improving geometry and topology.
Prepares supported character models with a skeletal rig.
Exposes asynchronous model-generation endpoints for applications.
Supports downloadable formats for common modeling and production tools.
Generate draft props and characters for concept testing and later cleanup.
Turn sketches or references into editable 3D presentation assets.
Create a starting mesh, then validate wall thickness, geometry, scale, and supports.
Produce draft assets for mixed-reality scenes and interactive prototypes.
Add text- or image-driven 3D creation through the Tripo API.
Tripo AI generates 3D assets from text prompts, single images, or multi-view references. Its current workspace also includes texturing, segmentation, mesh refinement, rigging, animation-oriented preparation, common export formats, and a developer API.
Game teams, 3D artists, product designers, animation and XR creators, ecommerce visualization, 3D printing prototypes, and developers adding 3D generation to applications.
Generated geometry usually needs inspection and cleanup before production. Check topology, scale, texture seams, rigging, physical printability, output licensing, and rights to every reference image before publishing or manufacturing.