Shap-e
A GitHub repository to generate 3D objects from text or images.
At a glance
Free · Source review 2026-11-02- Price & billing
Official repository reviewed 2026-11-02: Shap-E is open source under the MIT license; no paid tier price appears on the reviewed page.
- Free allowance
Not separately confirmed. Check the current plan before relying on a free allowance.
- Best suited to
Developers and researchers generating 3D objects from text or images
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Developers and researchers generating 3D objects from text or images
Limits and trade-offs
The repository page is a code project, not a hosted product; generation quality and requirements must be checked in the repository, and no authenticated product test was run.
Plans and free allowances
Official repository reviewed 2026-11-02: Shap-E is open source under the MIT license; no paid tier price appears on the reviewed page.
Evidence
Official repository ↗ (reviewed 2026-11-02)
Official published page review; no authenticated product test
Dates: Last reviewed 2026-11-02. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Shap-e
Shap-E is an OpenAI open-source project that generates 3D objects conditioned on text or images. It is published as a GitHub repository for developers and researchers working on text-to-3D and image-to-3D generation, with code, documentation, and an MIT license, and it is used as a building block inside larger 3D pipelines rather than as a hosted app.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Shap-e
- Developers building text-to-3D or image-to-3D features
- Researchers studying generative 3D models
- Teams needing an open-source 3D generation building block
When to choose something else
- Users who need a hosted no-code 3D generator with no setup
- Buyers who need commercial support guarantees
A practical starting workflow
- Open the Shap-E repository on GitHub and read the documentation
- Install the project following the repository setup guide
- Provide a text prompt or an image as the conditioning input
- Run generation to produce a 3D object from the input
- Use the generated 3D object in a downstream pipeline or viewer
Check before committing
- Vendor claims on the official page are not guarantees; actual results, quality and availability must be tested in the product.
- Prices and features may change after this review; recheck the official site before purchase or signup.
Common questions
What is Shap-E?
An OpenAI open-source project that generates 3D objects conditioned on text or images.
Is Shap-E free?
Yes, the repository is published under the MIT license, and no paid tier appears on the reviewed page.
Who should use Shap-E?
Developers and researchers who can run code and want a 3D generation building block, rather than users needing a hosted app.
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Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.