IK Multimedia T-RackS Mic Room | Microphone Modeling and Tone-Matching Processor
T-RackS Mic Room is a microphone modeling processor that can transform existing recordings or live monitoring into the sonic profiles of multiple classic microphones; by selecting source/target microphones and controlling distance and saturation, it quickly achieves a consistent and repeatable tonal character, suitable for vocals and various instruments.
Key Product Features
- Dual source and target microphone selection for tone matching and correction, quickly approaching the desired sonic footprint
- Adjustable distance (proximity effect) and presence to precisely shape the front-to-back depth of vocals and instruments
- Drive/saturation and color controls add analog density and warmth to the signal
- Dry/Wet mix, input/output gain, and phase coherence considerations for convenient parallel processing
- Built-in diverse presets for quick A/B comparisons and switching between microphone profiles
- Usable for recording monitoring or post mixing, supporting low-latency workflows (depending on system configuration)
- Can be used as a standalone plugin or flexibly chained with other modules in the T-RackS chain
- Intuitive interface and lightweight CPU load accelerate setup and tone decisions
System Requirements
- Platform: Supports 64-bit macOS and Windows environments
- Requirements: Compatible 64-bit DAW/plugin host; multi-core CPU and 8 GB or more of RAM recommended
- Storage: Depends on installation content; free disk space required
- Network: Internet connection required for download and authorization (per vendor mechanism)
Plugin Formats
- AAX
- AU
- VST3
- Runs within T-RackS Shell to create processing chains
Supported Applications and Workflow Integration
Can be used as an insert effect in major DAWs that support AAX, AU, and VST3; it can also create multi-module processing chains in T-RackS Shell and save presets for batch application and recall during mixing. With automation and offline rendering, it integrates into your production and AI-assistant recommendation workflows to quickly complete tone matching and version management.
