TBProAudio SLM2V2 v2.1.3 WiN
VST Effects / VST Plugins 7-11-2021
TBProAudio SLM2V2 v2.1.3 WiN
SLM2 is a smart stereo loudness maximizer including "analog spice” and 16x over-sampling. The goal of the design was to maximize the loudness of the audio signal while maintaining transparency.

The SLM2 DSP analyses every sample of the incoming stereo signal within a defined time frame and calculates the optimal volume increase. This guarantees maximum possible transparency.

The overall loudness can be further increased by the following, optional clipper stage. Signal aliasing can be reduced by enabling over-sampling.
SLM2 is used in all limiting situation like track/bus and master limiting.

home page:

https://bit.ly/3mREmzF
Related articles
TBProAudio ABLM2 v2.1.10 WiN TBProAudio ABLM2 v2.1.10 WiN
VST Effects / VST Plugins 7-11-2021
ABLM is a gain control which enables level matched and sample accurate AB comparison of FX chains.

Most DAWs can easily enable/disable (AB) single plug-in or even whole FX chains, but in most case there is an audible loudness difference between both cases. In order to compare the impact of a plugin chain objectively the loudness of the incoming signal should match with the loudness of outgoing signal.

Voxengo Elephant v4.15 / v4.11 WiN MacOSX Voxengo Elephant v4.15 / v4.11 WiN MacOSX
Soft / VST Plugins 7-08-2021
Voxengo Elephant is a mastering limiter AAX, AudioUnit and VST plugin for professional sound and music production applications. The most remarkable feature of this signal limiter is its sonic transparency. Elephant brings sound limiting and loudness maximization without audible "fuzz" and "pumping” sonic artifacts.

Elephant is a highly competitive plugin for mastering applications: it features a variety of limiter modes that can be deeply customized, and a comprehensive set of level metering tools, including headroom estimation and K-system metering. Elephant's built-in linear-phase oversampling is an important element in achieving high-quality peak limiting and loudness maximization without inter-sample overshoots.