Voxel2GCode is a specialized Python toolkit for Rhino and Grasshopper that transforms complex 3D geometry into voxel-based data and G-code. This technical toolkit operates as a computational bridge between NURBS-based CAD environments and additive manufacturing hardware. It specifically enables the voxelization of Rhino and Grasshopper geometry, allowing users to discretize continuous surfaces into volumetric data structures. The script facilitates the conversion of these voxel arrays into machine-readable G-code toolpaths, essential for custom 3D printing workflows. By leveraging the RhinoCommon framework, it provides a robust interface for algorithmic design, ensuring that complex spatial forms can be translated directly into layered fabrication instructions without requiring intermediate third-party slicing software for basic geometry processing tasks.

The download is a 1.8 MB file containing .ZIP files.

To implement this tool, users must load the Python script directly into the Rhino or Grasshopper environment. Once integrated, the script functions as a node or command-line utility, requiring input geometry as a base for the voxelization process. Users define resolution parameters to determine the voxel density, which directly impacts the output G-code precision. Final toolpaths are exported as standard machine files, ready for direct communication with CNC-controlled additive manufacturing equipment through typical controller interfaces.

This asset is essential for research-led architectural practices, industrial designers, and digital fabrication labs focused on non-standard manufacturing. It is primarily used during the prototyping and fabrication stages of complex geometry, such as lattice structures, organic forms, or bespoke components produced via FDM or robotic deposition. Professionals searching for algorithmic fabrication, voxel-based additive manufacturing, or custom G-code generation for Rhino will find this toolkit a critical component for streamlining the transition from computational design to physical reality in high-tech manufacturing projects.