If you haven’t looked at these two products yet, or have been put off by the oft-repeated (but, in our view, completely inaccurate) idea of the machine learning aspects of Neutron “making my music for me”, I encourage you to look closer and give them a spin. Here I’ve highlighted a few key aspects of both Neutron and Ozone that I feel can really help novices and more experienced creators alike achieve better results, faster. Over the last few years I’ve become a fan of Ozone and then Neutron. Or, at the very least, make those necessary technical aspects of production more engaging and intuitive, leading to better, more consistent and reliably translatable sonic results in a shorter time and with less effort.

It wasn’t that long ago (less than two years, if my calculations are correct) that we were discussing the previous versions of Ozone and Neutron, but here we are again with new improved versions of both over the last few weeks.īoth products are designed to take much of the (sometimes) dry and technical heavy lifting or “rocket science” of music production and mastering off the shoulders of artists and producers, and essentially enable us to focus on the more creative aspects of our music, confident that our productions are balanced and enhanced enough to translate well on the broadest range of listening devices and environments. IZotope clearly believe very strongly in the core machine-learning technology at the hearts of their flagship mixing and mastering plugin tools, Neutron 3 and Ozone 9, since the rate of new versions featuring excellent enhancements and whole new features has increased over the last few years.

Ozone master rebalance