Tech riderRev. 21 Sept 2026

Nerfstudio

Ch 097.0of 24 AI 3D Scanning Software

1Runs onAPI, Linux, self-hosted, Web, Windows
2CostsNot stated by the maker
3Capture inputboth
4Mobile platformsboth
5Export formatsPLY, OBJ, PNG, JPEG
6Textured mesh outputYes
7Measurement toolsNo
8Web appYes

7 lines stated Written from the maker's own pages: nerf.studio

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Overview

Nerfstudio is ranked #9 of 24 in AI 3D scanning software on Specifiction. It runs on API, Linux, Self-hosted, Web, Windows.

Compared on AI 3D scanning software

Free plan: Yesnerf.studio
Capture input: bothnerf.studio
Mobile platforms: bothnerf.studio
Export formats: PLY, OBJ, PNG, JPEGnerf.studio
Textured mesh output: Yesnerf.studio
Measurement tools: Nonerf.studio
Web app: Yesnerf.studio
API access: Yesnerf.studio

Facts

Purpose: Nerfstudio provides an API for creating, training, and testing NeRFs through modular components.docs.nerf.studio · 29 Sept 2026
Project: The documentation describes Nerfstudio as an open-source project launched by Berkeley students in October 2022 and developed by Berkeley students and community contributors.docs.nerf.studio · 29 Sept 2026
Included methods: Included methods are Nerfacto, Instant-NGP, NeRF, Mip-NeRF, TensoRF, and Splatfacto.docs.nerf.studio · 29 Sept 2026
Training tools: Its command line includes tools to process data, train and evaluate models, render videos, view trained NeRFs, and export models.docs.nerf.studio · 29 Sept 2026
Web viewer: The viewer displays training in real time and can create content videos from trained models.docs.nerf.studio · 29 Sept 2026
Remote viewing: The viewer supports share URLs that let others view training progress, and the documentation says these links are publicly accessible and introduce latency.docs.nerf.studio · 29 Sept 2026
Viewer integrations: The web viewer is built using Viser and ThreeJS and packaged as a ReactJS application that connects to a server through a websocket.docs.nerf.studio · 29 Sept 2026
Data workflows: The project documents full pipeline support with COLMAP, Polycam, or Record3D for turning phone video into a 3D render.github.com · 29 Sept 2026
Logging and debugging: The project describes support for Tensorboard and Wandb logging interfaces, code profiling, and built-in debugging tools.github.com · 29 Sept 2026
Installation: The documentation provides pip, source, and Docker installation options; Docker requires NVIDIA GPU drivers capable of CUDA 11.8.docs.nerf.studio · 29 Sept 2026
Platform limits: The documentation says Windows installation is less tested and more fragile, and recommends Linux when available.docs.nerf.studio · 29 Sept 2026
Support: The project directs users with questions to its Discord community and provides tutorials, documentation, and a feedback form.docs.nerf.studio · 29 Sept 2026
Methods: Included methods include Nerfacto, Instant-NGP, NeRF, Mip-NeRF, TensoRF, and Splatfacto.docs.nerf.studio · 30 Sept 2026
Viewer: Its web-based visualizer can show training in real time, let users interact with scenes, and render custom camera trajectories.github.com · 30 Sept 2026
Capture integrations: The project describes a capture-to-render pipeline using Colmap, Polycam, or Record3D.github.com · 30 Sept 2026
Included Gaussian splatting: Splatfacto is Nerfstudio’s Gaussian Splatting implementation.docs.nerf.studio · 30 Sept 2026
GPU requirement: The repository quickstart requires an NVIDIA video card with CUDA installed; it says the library was tested with CUDA 11.8.github.com · 30 Sept 2026
Platform support: The installation guide says Nerfstudio on Windows is less tested and more fragile, and recommends Linux when available.docs.nerf.studio · 30 Sept 2026
License: The project’s GitHub page identifies its license as Apache-2.0.github.com · 30 Sept 2026
Development: Nerfstudio launched as an open-source project by Berkeley students in October 2022 and is developed by Berkeley students and community contributors.docs.nerf.studio · 30 Sept 2026