nXtRender – for AutoCAD (formerly AccuRender nXt for AutoCAD)
A better Renderer for AutoCAD™ at an affordable price
Create photo-realistic, still, panorama, and animation image files from 3D models using raytracing and radiosity technologies
A fast, easy to use and physically-based rendering engine for AutoCAD™
“Rendering quality above all expectations. Amazing and
realistic render results from the first attempt just shocked me.
I was ready to buy this program instantly. Few days later, I did.”
New Dwelling Branksome Road, Norwich by Henry James-Allison of DFAL
MartinTerrasse Proche Lite by Marc Chaumier
Office interior by Mesh-3D
car5-3 by Christopher Alan Krupp
evening arrival by Christopher Alan Krupp
cessna 177 Cardinal by Vali Popescu
Sala TV 040412 by Jorge Javier Lara Domínguez
Office block concept desig by mike makki
Joshua Slocum's 'Spray' by Mesh-3D
Patio night shot By mesh-3D
white base 02a by Peter Milner
6500 SF Residence - Chris Fox
Medieval Plaza - Urbe Auriense (Ourense-Galicia) by Carlos Sieiro
by kingjin
Video tutorials, rendering wizards, and a responsive support team make it easy to add nXtRender to your design process today.
Quick and Easy to use Whether designing for work or fun, nXtRender’s seamless integration into AutoCAD makes it quick and easy to create photo-realistic renderings that show your designs at their best.
Image by Gary Giacci
Time-Saving Features
nXtRender optimizes your design-time by saving your settings together with the 3D model and allowing post-render processing. Update your design and update your render, without starting over again.
Image by Mark Bauer
Great Results
With the nXtRender Engine you can create great results. Save time with an efficient workflow that makes changes easy. Create stunning images that wow your client and help you win business.
Image by Nick Norman
nXtRender is a new AccuRender rendering engine.
Technical Specifications
Core
Physically-based luminance calculation
Choice of Packet Tracer or Path Tracer engines
Progressive refinement algorithm
64-bit version for massive data sets
Multiprocessing
Parallel algorithms efficiently use all available cores
Near-linear performance increase WRT number of cores
Image by Gary Giacci
