AI CAD copilots: the assist pattern every vendor is chasing
Every major CAD vendor now has an AI copilot, assistant, or companion. The pattern is the same everywhere: an AI that watches you work and tries to help. The results vary wildly.
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Every major CAD vendor now has an AI copilot, assistant, or companion. The pattern is the same everywhere: an AI that watches you work and tries to help. The results vary wildly.
A practical tutorial for the Zoo.dev text-to-CAD API, starting with a curl command and ending with a Python script that generates STEP files in a loop.
The NeurIPS 2024 Text2CAD paper introduced the first end-to-end framework for generating parametric CAD from natural language. Here's what it does, what it proved, and what it doesn't solve.
If you want to run text-to-CAD on your own servers for IP protection or offline use, the options are thin. Here's what exists.
Text-to-CAD tools output STEP, STL, glTF, OBJ, and DXF. Only one of those formats matters for real engineering work, and it's the one most tools handle worst.
Open-source text-to-CAD is early. CADAgent works inside Fusion 360, OpenSCAD pairs naturally with LLMs, and FreeCAD has Python scripting. But there's no fully open alternative to Zoo.dev yet.
If you want to generate CAD models programmatically from text prompts, there's basically one real API right now. Here's what it can do.
A practical walkthrough of calling text-to-CAD APIs from Python, including the Zoo/KittyCAD SDK, handling responses, and saving STEP files.
Most text-to-CAD models learn from the DeepCAD dataset: about 170,000 parametric CAD models. That's not a lot. Here's why that matters.
The KittyCAD Python SDK is how you talk to Zoo.dev's text-to-CAD API from code. Here's how to set it up and what to watch out for.