Component plug-ins: Use any Ozone 9 Advanced module as a separate plug-in in your DAW!. Improved Performance: Experience faster performance and smoother workflows improved visualizations and fluid metering. Improved Imager module: Transparently adjust your stereo image with powerful multiband controls and an improved Stereoize mode. Easily access controls, presets and DSP from within your NKS supported environment. Native Instruments NKS Support: NKS support puts Ozone directly into your creative production process. Updated UI/UX: We’ve made Ozone faster and easier to use, with a modernized resizable interface, fluid metering, and an expanded module chain. Vintage Modules: Use our colorful collection of Vintage modules to add warmth, grit, and vibe to your music, now available as both modules and component plug-ins in Ozone 9 Standard. Match EQ module: Ozone 9 offers a brand new experience for Match EQ, with a better preset workflow, the ability to match from a reference track, and deeper controls that let you match parts of the frequency spectrum. Get a great starting point every time, no matter the style, format, or genre. Expanded Master Assistant: Choose from a modern or vintage vibe, with loudness targets for CD and streaming. Improved Tonal Balance Control: Tonal Balance Control is improved with smoother metering, resizability, new target curves, and inter-plugin communication with Relay for quick and easy gain control across the mixing and mastering stages. Low End Focus: Quickly adjust the contrast and definition of your low frequencies and get a hard hitting master every time, without needing a complex plug-in chain. Master Rebalance: Now you can adjust the levels of vocals and other instruments in a stereo audio file, letting you solve balance issues without needing the original stems. 
Never-before seen processing for low end, real-time instrument separation, and lightning-fast workflows powered by machine learning-it’s all here in Ozone
Building on a 17 year legacy, Ozone 9 brings balance to your music with the latest advances in machine learning for mastering audio.
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