Tripo

Converts free-form natural language text prompts into complete 3D mesh models with geometry and topology in seconds. The system processes text input through an undisclosed neural model (likely diffusion or transformer-based) that generates volumetric 3D representations, which are then converted into optimized mesh geometry with clean topology suitable for downstream processing. Generation happens asynchronously server-side with queue-based processing, returning downloadable mesh files once complete.

Converts 2D images (JPG, PNG, WEBP format, max 5MB) into 3D mesh models by analyzing visual content and inferring 3D geometry, likely using multi-view synthesis or neural radiance field techniques. The system extracts shape, proportions, and spatial relationships from the 2D input and reconstructs a volumetric 3D representation, then converts to optimized mesh with topology. Supports sketch-based input (mentioned on homepage but technical details undocumented).

Enables 'one-click generation of part models' to complete missing or incomplete sections of existing 3D models. The system analyzes partial geometry and infers missing components based on context and learned patterns, generating new geometry that seamlessly integrates with existing parts. Useful for completing models with missing limbs, accessories, or structural elements without full regeneration.

Enables bulk export of multiple 3D models in a single operation, with support for batch downloading and format selection. The system packages multiple models (with textures, rigging, animation) into downloadable archives, reducing manual export overhead. Export formats and compression options unknown, but feature suggests support for multiple standard 3D formats (likely .obj, .fbx, .gltf).

Provides cloud-based storage for generated 3D models with configurable retention policies and history tracking. Storage capacity varies by tier (20 models Basic, Unlimited Premium), with history retention from 1 day (Basic) to permanent (Premium). The system maintains version history and enables model recovery, though specific versioning mechanics and rollback capabilities are undocumented.

Implements a credit-based billing system where users purchase monthly credit allowances (300 Basic to 25,000 Premium) and consume credits per generation, refinement, or feature use. The system tracks credit consumption server-side and enforces limits based on subscription tier. Specific credit costs per operation are undocumented, creating opacity in actual cost-per-model calculations. Monthly credits reset automatically, with unused credits expiring (rollover policy unknown).

Provides a web-based 3D editor and viewer for inspecting, editing, and customizing generated models directly in the browser without requiring desktop 3D software. The editor includes tools for texture editing (Magic Brush), model segmentation, and refinement, with real-time 3D visualization. The system uses WebGL or similar web graphics technology for client-side rendering, enabling interactive model manipulation without server round-trips for basic operations.

Automatically generates 4K Physically Based Rendering (PBR) materials and textures for generated 3D meshes, including albedo, normal, roughness, and metallic maps. The system applies learned material properties based on the original input (text description or image) and generates texture maps that are compatible with standard game engines and 3D software. Textures are generated at 4K resolution and are immediately export-ready without manual material authoring.

Automatically generates skeletal rigs (bone hierarchies) and applies smooth skin weights to 3D meshes, enabling animation-ready models without manual rigging. The system infers anatomical structure from mesh geometry (for character-like models) or creates functional rigs for object-like models, then computes smooth skin weight deformation. Generated rigs include 'clean skeletons' and 'smooth skin weights' according to product claims, though specific bone count, joint accuracy, and deformation quality are undocumented.

Automatically generates animations for rigged 3D models, producing movement sequences without manual keyframing or animation authoring. The system applies learned animation patterns (likely locomotion cycles, idle poses, or generic actions) to the skeletal rig based on the model type. Animation types and complexity are undocumented, but the feature suggests basic motion generation rather than complex choreography.

Automatically segments complex 3D models into semantically meaningful parts with clean edges and structured decomposition. The system analyzes mesh geometry and topology to identify distinct components (e.g., head, torso, limbs for characters; wheels, chassis, cabin for vehicles) and separates them into editable sub-meshes. Segmentation enables independent manipulation, material assignment, and animation of individual parts without affecting the whole model.

Provides a 'Magic Brush' tool for local texture modification and repainting of specific regions on 3D models. The system uses inpainting techniques to regenerate texture in user-selected areas while preserving surrounding context, enabling targeted material and color adjustments without regenerating the entire model. Operates on the 4K PBR textures generated by the automatic texturing system.

Automatically reduces polygon count and optimizes mesh topology for performance-critical applications through 'Smart Low Poly' feature. The system applies mesh simplification algorithms (likely quadric error metrics or similar) to reduce vertex and triangle count while preserving visual fidelity and silhouette. Optimized meshes are suitable for real-time rendering in game engines with reduced memory footprint and faster rendering.

Enables generation of multiple 3D models in a single batch operation, with support for concurrent task processing up to 20 simultaneous generations depending on subscription tier. The system queues multiple generation requests and processes them in parallel on server infrastructure, returning all completed models together. Batch processing reduces per-model overhead and enables bulk asset creation workflows.

Provides 'Pro Refine' tool for iterative improvement of generated models through targeted regeneration. Users can request refinement of specific aspects (geometry, textures, details) without regenerating the entire model from scratch. The system applies learned refinement patterns to enhance quality based on user feedback or specific improvement requests. Free refines are limited (1-3 per month depending on tier) with additional refines available at unknown cost.