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Best Open-Source AI 3D Tools

Text-to-3D, NeRF, and 3D generation pipelines.

77 tools · 💎 55 hidden gems

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Start here

The most-starred projects in this category, plus a rotating pick of three more from deeper in the list — refreshed so the whole catalogue gets its turn in the window.

AI 3D

mcp-for-blender

Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D

★ 30.2k starsMIT
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AI 3D

editor

Pascal Editor: an open-source 3D architectural editor with MCP tools for humans and AI agents

★ 24.7k starsMIT
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AI 3D

text-to-cad

Give your AI agent CAD superpowers - generate real STEP/STL models from text

★ 18.4k starsMIT
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AI 3D

Awesome-Text-to-3D

A growing curation of Text-to-3D, Diffusion-to-3D works.

★ 607 starsUnknown
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AI 3D

3dgsconverter

Python command-line utility designed for converting and processing 3D Gaussian.

★ 599 starsMIT
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AI 3D

supersplat-viewer

A fast, friendly viewer for 3D Gaussian splat scenes.

★ 580 starsMIT
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About Best Open-Source AI 3D Tools

Text-to-3D and image-to-3D tools turn prompts or single photos into models, scenes, and Gaussian splats you can drop into games, product viewers, and AR. The category also covers NeRF tooling and pipelines that clean up, convert, and optimise generated geometry.

This is the youngest tooling in the collection: outputs often need a cleanup pass in a conventional 3D editor before they are production-ready. The honest way to judge a tool here is by the mesh it exports — topology and UVs matter more than a pretty turntable render.

How to choose

  • Decide your target format first (game engine, web viewer, 3D printing) and pick tools that export it natively.
  • Expect to budget time for mesh cleanup; treat these tools as a fast first draft, not the final asset.
  • Single-image reconstruction works best with clean, well-lit photos on plain backgrounds.
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Questions, answered

Which open-source AI 3D tools are listed here?

This page collects 77 open-source AI 3D projects curated by LibreAI — Text-to-3D, NeRF, and 3D generation pipelines. Each one is verified on GitHub and has its own guide page with an overview, install steps, use cases, and an FAQ, so you can judge fit, requirements, and licensing before you download anything.

Are these AI 3D tools free to use?

Yes. Every tool here is open source and free to download and use under its own license — most use MIT, Apache-2.0, or GPL-3.0, and any custom source-available license is flagged on the tool's page. Check the LICENSE file before commercial use.

Does LibreAI host these tools?

No. LibreAI publishes guides only — no downloads are served from this site, and no tool here is mirrored or repackaged by us. Every install comes from the project's official GitHub repository, which each guide links to directly, so you always get the genuine, current release from the people who build and maintain the tool.

How do I install a AI 3D tool from this page?

Open the tool's guide and follow its 'Run it yourself' section — the steps come from the project's own documentation — or use the 'View on GitHub' button to go straight to the official repository. Each guide also states the tool's requirements first, so you can check your machine qualifies before downloading anything.

How were these tools chosen?

Every project is verified live through the GitHub API — stars, forks, license, and recent activity — and listed only if it has real momentum and an active community. Projects are re-checked as the catalogue is refreshed, and any project that goes quiet or changes its licensing terms has that noted on its page.

Are generated 3D models ready for games or printing?

Usually they are a strong first draft: expect to clean topology, fix UVs, or retopologise before production use. The tools save hours of blocking-out work even when a finishing pass in a 3D editor is still needed. For prototypes, concept work, and background assets, that first draft is often close enough to use with only light cleanup.

What is a Gaussian splat?

A way of representing a scene as millions of soft 3D points that render photorealistically from new viewpoints. Several tools here create or convert splats from photos and video; game engines increasingly support them alongside meshes. Splats capture real places especially well, which is why they show up in virtual tours, film previsualisation, and location scouting.