Nerfstudio

6.7easy start · #11 of 24
in AI 3D Scanning Software

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on api, Linux, self-hosted, Web, Windows.

Nerfstudio is ranked #11 of 24 in AI 3D scanning software on The Geeks Club. It runs on API, Linux, Self-hosted, Web, Windows.

Compared on AI 3D scanning software

Free plan: Yes
Capture input: both
Mobile platforms: both
Export formats: PLY, OBJ, PNG, JPEG
Textured mesh output: Yes
Measurement tools: No
Web app: Yes
API access: Yes

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The record

Purpose: Nerfstudio provides an API for creating, training, and testing NeRFs through modular components.
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.
Included methods: Included methods are Nerfacto, Instant-NGP, NeRF, Mip-NeRF, TensoRF, and Splatfacto.
Training tools: Its command line includes tools to process data, train and evaluate models, render videos, view trained NeRFs, and export models.
Web viewer: The viewer displays training in real time and can create content videos from trained models.
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.
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.
Data workflows: The project documents full pipeline support with COLMAP, Polycam, or Record3D for turning phone video into a 3D render.
Logging and debugging: The project describes support for Tensorboard and Wandb logging interfaces, code profiling, and built-in debugging tools.
Installation: The documentation provides pip, source, and Docker installation options; Docker requires NVIDIA GPU drivers capable of CUDA 11.8.
Platform limits: The documentation says Windows installation is less tested and more fragile, and recommends Linux when available.
Support: The project directs users with questions to its Discord community and provides tutorials, documentation, and a feedback form.
Methods: Included methods include Nerfacto, Instant-NGP, NeRF, Mip-NeRF, TensoRF, and Splatfacto.
Viewer: Its web-based visualizer can show training in real time, let users interact with scenes, and render custom camera trajectories.

Where it ranks on The Geeks Club

Best AI 3D Scanning Software in 2026#11 of 24

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Sources

docs.nerf.studio· checked 29 Sept 2026
docs.nerf.studio/reference/cli/index.html· checked 29 Sept 2026
docs.nerf.studio/quickstart/viewer_quickstart.html· checked 29 Sept 2026
docs.nerf.studio/developer_guides/viewer/index.html· checked 29 Sept 2026
github.com/nerfstudio-project/nerfstudio· checked 29 Sept 2026
docs.nerf.studio/quickstart/installation.html· checked 29 Sept 2026
nerf.studio· checked 28 Sept 2026