Pixyz

The very latest CAD data preparation and optimisation software. Export your optimised models for all your uses and real-time 3D visualisation scenarios.

Caracteristics and functions of Pixyz

Optimise your CAD data for real-time 3D Pixyz Studio's cutting-edge algorithms allow you to create ultra-light meshes for your real-time and visualisation needs. Take advantage of a UI and Python API to streamline complex tasks and boost your workflows.

Reap the benefits of 3D data

Thanks to Pixyz Studio, CAD experts, engineers, interactive 3D developers, 3D artists, architecture firms or agencies and communication and marketing departments can make optimal use of their 3D and CAD data.

Key benefits

  • CAD format compatibility
  • Import and combine files from the most widely used CAD and 3D solutions.
  • Native hierarchy
  • Access the original product hierarchy (full scene tree), including metadata, and dedicated optimisation functions.
  • High-performance algorithms
  • Make the most of your CAD data and optimisation processes with powerful algorithms, including tessellation, CAD topology correction, decimation, repair, etc.
  • History management
  • Perfect the quality of your meshing on specific parts of your model, using the Re-tesselate functionality and the Undo-Redo history.
  • Automate your tasks
  • Use the built-in Python API and Plugin Editor to create and save your own automated processes as plug-ins.
  • Adapt your data preparation
  • Publish your data preparation scenarios as plug-ins and deploy them in the Pixyz scenario processor for automatic batch processing of 3D files.

Pixyz Studio workflow

  • Import a native CAD file into Pixyz Studio
  • Assemble large CAD files at scale
  • Tessellate CAD models and transform them into small 3D meshes
  • Work interactively on 3D meshes using an easy-to-use interface
  • Optimise 3D models using a set of powerful algorithms
  • Export tessellated and optimised models to preparation tools
  • Save optimised 3D models in Pixyz's native format
  • Repeat data preparation tasks using Python scripts and plug-ins
  • Publish specific data preparation scenarios as binarised plug-ins

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