AI 3D Modeling

Spline AIVSLuma AI (3D)

We compare web-based 3D design tools: interactive 3D design or AI 3D scanning? See detailed reviews: Spline AI, Luma AI 3D.

Historical result: Spline AI

Historical Analysis

Spline AI and Luma AI 3D both have "3D" in the name but do entirely different jobs. Spline is an interactive 3D design tool that runs in the browser: you build scenes, assign materials, add animation and interactivity, and embed the result directly into websites. Its AI features (text-to-object, texture, and style generation) speed up that design flow. Luma AI 3D focuses on capturing the real world: it turns an object or space you film on your phone into a photorealistic 3D scan via NeRF/Gaussian splatting, and generates assets from text with Genie.

Which when? If you are building interactive 3D visuals for a website, product configurators, or animated scenes, Spline AI is the right tool because its output is a live, embeddable, editable scene. If you want to bring a real product, space, or object into 3D with high realism, Luma AI 3D's capture ability is unmatched.

The concrete difference is in the nature of the output: Spline is vector/parametric, designer-controlled, and web-native; Luma is photo-capture based, realistic but harder-to-edit mesh/splat output. Spline is optimized for design and interaction, Luma for realism and capture.

In short: choose Spline AI for interactive web 3D and design control; choose Luma AI 3D to photorealistically capture real-world objects. The two are complementary rather than rivals — you can drop an asset captured in Luma into a Spline scene.

Tool Overview

Spline AI icon

Spline AI

Freemium

Spline AI is the artificial intelligence component of Spline, a web-based 3D design tool that enables designers and developers to create interactive 3D content directly in the browser. Founded in 2020, Spline uniquely combines 3D design, AI generation, and web publishing in a single platform, replacing code-heavy workflows with a visual editor. Text-to-3D object generation converts natural language descriptions into three-dimensional models, while image-to-3D conversion extracts dimensional models from 2D reference images. Beyond AI generation, Spline provides powerful tools for interactive 3D experiences: physics simulation, mouse and touch interactions, state machines, and animation timelines within the browser. Real-time collaboration enables multiple designers to work simultaneously on the same scene. Professional visuals are supported through a custom shader editor, post-processing effects, and advanced lighting tools. Generated objects can be edited directly with materials, textures, animations, and interaction rules defined without code. Output deploys as embeddable iframes, standalone applications, or exported 3D files, with official libraries for React, Next.js, and vanilla JavaScript ensuring seamless web integration. Spline AI targets web designers, UI/UX professionals, front-end developers, marketing teams adding interactive 3D to product pages, and game prototypers. The free plan offers unlimited projects with basic exports, while Pro provides higher resolution, custom domain publishing, expanded AI quotas, and team collaboration. Spline offers a browser-based alternative to heavy desktop applications like Blender while bridging the gap between design and development for interactive 3D web content.

Stored editorial score23/25
Luma AI (3D) icon

Luma AI (3D)

Freemium

Luma AI is a pioneering platform in AI-powered 3D capture and generation, built on Neural Radiance Fields (NeRF) and Gaussian Splatting technologies. Developed by Luma Labs in San Francisco, the platform creates high-quality 3D scenes and models using only a smartphone camera, eliminating dependence on LiDAR scanners or professional photogrammetry equipment. The NeRF-based capture produces photorealistic 3D reconstructions from video or photo series captured around objects or scenes, while Gaussian Splatting delivers faster render times and higher visual quality than traditional mesh approaches. Advanced algorithms produce impressive results even on reflective and semi-transparent surfaces where traditional photogrammetry fails. Output formats include mesh files, point clouds, and Gaussian Splatting formats. Users capture video around targets with smartphones, then images are processed on cloud servers where AI analyzes color, depth, and reflection information to construct three-dimensional representations. NeRF learns scene light fields, enabling photorealistic renders from any viewing angle. Luma AI serves diverse industries: real estate for virtual tours, e-commerce for 3D product visualization, cultural heritage for artifact digitization, film for location scanning, game development for converting real environments into digital assets, and research for 3D reconstruction. The free plan offers limited captures, Pro plans include higher resolution, priority processing, commercial licensing, and API access, while Enterprise provides dedicated infrastructure. Luma AI maintains technological leadership in smartphone-based 3D capture with scanning quality among the best available.

Stored editorial score19/25

Detailed Comparison

Scores and notes are stored editorial judgements, not user ratings or independently reproduced benchmarks. Verify current provider claims before deciding.

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Feature
Spline AI
Luma AI (3D)
Price

Generous free plan, Pro $9/month

Free plan available, API usage is paid

Ease of Use

Web-based, intuitive 3D editor, Figma-like experience

Record or upload a video, AI automatically creates a 3D model

Output Quality

High-quality real-time rendering, excellent web performance

Good NeRF quality, photorealistic 3D scans

Feature Richness

3D modeling, animation, interaction, physics, AI generation, collaboration

3D scanning, NeRF, API, limited editing tools

Web Integration

Direct web embedding, React/iframe support, interactive 3D

3D model export, limited web embedding

Total
23/25
19/25

Pros & Cons

Spline AI icon

Spline AI

Spline AI is the artificial intelligence component of Spline, a web-based 3D design tool that enables designers and developers to create interactive 3D content directly in the browser. Founded in 2020, Spline uniquely combines 3D design, AI generation, and web publishing in a single platform, replacing code-heavy workflows with a visual editor. Text-to-3D object generation converts natural language descriptions into three-dimensional models, while image-to-3D conversion extracts dimensional models from 2D reference images. Beyond AI generation, Spline provides powerful tools for interactive 3D experiences: physics simulation, mouse and touch interactions, state machines, and animation timelines within the browser. Real-time collaboration enables multiple designers to work simultaneously on the same scene. Professional visuals are supported through a custom shader editor, post-processing effects, and advanced lighting tools. Generated objects can be edited directly with materials, textures, animations, and interaction rules defined without code. Output deploys as embeddable iframes, standalone applications, or exported 3D files, with official libraries for React, Next.js, and vanilla JavaScript ensuring seamless web integration. Spline AI targets web designers, UI/UX professionals, front-end developers, marketing teams adding interactive 3D to product pages, and game prototypers. The free plan offers unlimited projects with basic exports, while Pro provides higher resolution, custom domain publishing, expanded AI quotas, and team collaboration. Spline offers a browser-based alternative to heavy desktop applications like Blender while bridging the gap between design and development for interactive 3D web content.

Pros

  • Much easier to use compared to traditional 3D software
  • 3D model creation from text and 2D images
  • Real-time teamwork — Google Docs-like collaboration
  • Interactive 3D sharing on web, Android, and iOS

Cons

  • Limited customization compared to professional CAD/sculpting software
  • AI 3D features fell short of expectations — inconsistent render results
  • Performance issues with complex scenes on lower-end hardware
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Luma AI (3D) icon

Luma AI (3D)

Luma AI is a pioneering platform in AI-powered 3D capture and generation, built on Neural Radiance Fields (NeRF) and Gaussian Splatting technologies. Developed by Luma Labs in San Francisco, the platform creates high-quality 3D scenes and models using only a smartphone camera, eliminating dependence on LiDAR scanners or professional photogrammetry equipment. The NeRF-based capture produces photorealistic 3D reconstructions from video or photo series captured around objects or scenes, while Gaussian Splatting delivers faster render times and higher visual quality than traditional mesh approaches. Advanced algorithms produce impressive results even on reflective and semi-transparent surfaces where traditional photogrammetry fails. Output formats include mesh files, point clouds, and Gaussian Splatting formats. Users capture video around targets with smartphones, then images are processed on cloud servers where AI analyzes color, depth, and reflection information to construct three-dimensional representations. NeRF learns scene light fields, enabling photorealistic renders from any viewing angle. Luma AI serves diverse industries: real estate for virtual tours, e-commerce for 3D product visualization, cultural heritage for artifact digitization, film for location scanning, game development for converting real environments into digital assets, and research for 3D reconstruction. The free plan offers limited captures, Pro plans include higher resolution, priority processing, commercial licensing, and API access, while Enterprise provides dedicated infrastructure. Luma AI maintains technological leadership in smartphone-based 3D capture with scanning quality among the best available.

Pros

  • Scan quality is overall best on the market - captures all reflections rather than just individual points
  • No additional equipment required - transforms ordinary phone photos or videos into 3D models
  • Background scanning capability makes it much more practical than lidar
  • Advanced algorithms and sensor fusion techniques capture even the finest details with accuracy

Cons

  • App occasionally crashes during scanning, fails to process scans, and scanning process requires practice
  • Gaussian processing not done locally - images and scans uploaded to servers raising privacy concerns
  • Learning curve and unfamiliar workflow for users from traditional video editing or marketing backgrounds
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Editorial note

Historical comparison

This comparison includes a discontinued or inactive product. Its scores, pricing and analysis are historical, not a current buying recommendation.

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