Meshy vs TripoSR

Meshy creates 3D assets from text, images, or creative concepts for users to preview, edit, and export. Text-to-3D generates textured models from written descriptions, while Image-to-3D works from photos, sketches, or concept art. It can auto-rig humanoid and quadruped characters and offers more than 600 motion presets. For 3D printing, Meshy says its models are watertight and manifold; its printability check scans exports and can repair some edge cases. Integrations include Blender, Unity, Unreal Engine, Godot, Roblox Studio, Bambu Studio, OrcaSlicer, and Creality Print, along with a REST API and MCP server. The Android and iOS app syncs with the web app and exports formats including STL, GLB, FBX, OBJ, USDZ, and 3MF. The web app has a 100 MB upload limit for AI texturing and accepts one model at a time. Meshy has a free plan; Pro starts at $20 a month. Free-plan assets use CC BY 4.0 and require attribution for commercial use.

TripoSR is a free, MIT-licensed open-source model that reconstructs a 3D object from one image. Tripo AI and Stability AI developed it collaboratively for researchers, developers, and creatives working in 3D generative AI and content creation. The project states that generation can take less than 0.5 seconds on an NVIDIA A100 GPU. Its repository provides command-line inference and a local Gradio app launched with Python. The app offers background removal, foreground-ratio and marching-cubes-resolution controls, and OBJ or GLB output. Inference accepts one or more image paths and can bake textures instead of vertex colors, with configurable texture resolution. Default settings use about 6 GB of VRAM for one image. Local setup lists Python 3.8 or newer, PyTorch, and requirements.txt dependencies; CUDA is optional when available. TripoSR supports image-to-3D and AI texturing, but not text-to-3D. Its listed platforms are Linux, self-hosted, and web.