IK Multimedia T-RackS Classic Compressor
The Workhorse Mastering Compressor
TheT-RackS Classic Compressoremulates that analog, hi-end vintage gear used in mastering applications. This will give you that big, warm sound typical of highly acclaimed hardware devices. This compressor has some unique features on top of standard compressor parameters that make it very flexible but always very musical and creative.
The Sidechain HPF control allows to filter the bass content of the track before it hits the detection circuit; this avoids bass heavy mix elements (like kick or bass) to modulate the compression giving the well known "pumping" effect (unless that's desired).
Also included is a Stereo Enhancement control which works on the stereo field’s width: it practically equals the M/S technique used in mastering applications, or on any stereo tracks; this is a very convenient and quick way to adjust the stereo field width, with a simple control to make it wider or narrow. Conceived as a processor for mastering applications it is equally at home on any stereo source like keys, pianos, drums overheads and such.
- Works within the T-RackS CS Standalone application
- High-quality oversampling
- High-precision and high-transparency digital processors
- Accurately analog-modeled vintage classic devices
- Full-latency compensation support
- Supports sampling rates up to 192 kHz
- DSM and SCC proprietary IK technologies for extremely accurate digital models of analog hardware devices
- Native compatibility with 64-bit applications and operating systems
T-RackS 5 is a 64-bit application and requires a 64 bit CPU and Operating System.
Supported Plug-in formats (64-bit): Audio Units, VST2, VST3, AAX Native
Mac: Minimum Requirements
Intel Core 2 Duo, 4 GB of RAM (8 GB suggested), macOS 10.9 or laterWindows Minimum Requirements
Intel Core 2 Duo or AMD Athlon 64 X2, 4 GB of RAM (8 GB suggested), Windows 7, Windows 8 or Windows 10. Requires an ASIO compatible sound card.
Internet connection is required as all of the Custom Shop operations are web-based.