Point·E: Features, Pricing & Alternatives

TL;DR

Point·E at a glance

Synthesize 3D models with point cloud diffusion. Security: Published posture.

Overview

What is Point·E?

OpenAI's Point-E is an AI tool for synthesizing 3D models from point clouds. It uses a diffusion algorithm to transform point clouds into 3D models and is designed to create detailed, realistic models. Point-E is available as an open source project on GitHub and is released under the MIT license. It uses a variety of tools and packages, such as GitHub Actions and Codespaces, to automate workflows and create instant development environments. It also features a variety of features, such as code review and issues tracking, to help ensure high quality and efficient code. Point-E also includes a model-card for describing the model used for synthesis and a setup.py for installing the package. To use Point-E, users can clone the repository via HTTPS, GitHub CLI or SVN, and launch GitHub Desktop, Xcode or Visual Studio Code to get started. It can then be used to generate 3D models from complex point clouds, with the output being highly realistic and detailed.

Trust

Security assessment

Security: Published posture

Published posture scored 12/20 or above. We check HTTPS, a reachable privacy policy, and stated compliance commitments. We do not perform security testing.

Last assessed: 22 August 2026

Methodology

How this score was built

Each scored criterion links to the published page it was derived from. Unscored criteria are marked, not guessed. This listing has not been hands-on tested.

Security & Data Privacy
Final URL uses HTTPS, indicating encryption in transit.
Source: github.com
8/10
Functionality & Features
The GitHub page provides a brief description of the product's purpose.
Source: github.com
5/10
Ease of Use
Requires hands-on use of the product.
Not assessed
Pricing & Value
No citable published evidence in this pass.
Not assessed
Reliability & Performance
Requires hands-on use of the product.
Not assessed
Integration Capabilities
No citable published evidence in this pass.
Not assessed
Customer Support
No citable published evidence in this pass.
Not assessed
Company Stability
The GitHub page indicates the project is not archived and has a significant number of stars.
Source: github.com
6/10
Update Frequency
The last push was on 2024-07-04, indicating recent activity.
Source: github.com
7/10
Startup-Friendliness
No citable published evidence in this pass.
Not assessed

FAQ

Frequently asked questions

What is Point·E and what does it do?

Synthesize 3D models with point cloud diffusion.

What does Point·E cost in India?

Point·E is a paid tool.

Is Point·E safe for startups?

Point·E has a published security posture scoring 12/20 or above (HTTPS, a reachable privacy policy, and/or stated compliance commitments). We do not perform security testing.