IK Multimedia TONEX | AI Machine-Learning Guitar Tone Modeling and Amp Simulation Software
IK Multimedia TONEX uses machine-learning technology to faithfully model real amplifiers and pedals, delivering studio-quality guitar and bass tones. It supports standalone and plugin modes, allowing fast creation, sharing, and adjustment of tones to meet the diverse needs of writing, recording, and live performance.
Key Features
- AI machine-learning tone modeling that reproduces real amplifier cabinets and pedal characteristics such as drive/distortion
- Guided capture workflow to create custom tone models using an audio interface and microphone
- Built-in tone library with cloud sharing and downloads, supporting tags, keywords, and favorites management
- Operates as a standalone app or DAW plugin, suitable for recording, mixing, and live performance
- Includes common tools like EQ, noise gate, and dynamics/space processing for quick fine-tuning
- Low-latency playing experience with adjustable sample rate and buffer settings
- Presets and models can be imported/exported for easy sharing across computers or teams
- Supports MIDI mapping and foot controller control (actual functionality depends on hardware and host)
System Requirements
- Operating System: Windows 10/11 (64-bit), recent macOS (Intel and Apple Silicon)
- Recommended Hardware: multi-core CPU, 8 GB RAM or more, reliable SSD storage
- Storage: additional free space required for the installer and tone library
- Audio Interface: ASIO/Core Audio compatible; cabinet capture is recommended with DI/reamp gear and a microphone
- Internet: required for license activation, content downloads, and cloud tone library synchronization
- Display: recommended resolution 1280×800 or higher
Plugin Formats
- VST3 (Windows/macOS)
- AU (macOS)
- AAX (for compatible versions of Pro Tools)
Supported Applications and Host Integration
Can be used as a plugin inserted on guitar/bass tracks or buses in major DAWs, leveraging host automation and MIDI mapping for tone switching and parameter control; the standalone mode can connect to an audio interface for real-time playing and playback processing. Tones and models can be synchronized, downloaded, and backed up with the cloud library for quick recall in writing, recording, and live workflows.
