Neural Amp Modeler is an innovative open-source software that uses deep learning technology to emulate the sound characteristics of guitar amplifiers and pedals. By analyzing and replicating the tonal qualities of various hardware units, it delivers highly accurate amp and effects modeling that can enhance your guitar tracks with authentic tone.

This software offers a dedicated plug-in version compatible with VST3 and AudioUnit formats, making it easy to integrate into most digital audio workstations. The plug-in is developed using iPlug2, ensuring efficient performance and streamlined workflow for musicians and producers seeking high-quality amp simulations within their projects.

Neural Amp Modeler combines advanced machine learning with accessible plug-in design, providing guitarists and producers a powerful tool for creating realistic amp sounds without the need for expensive hardware. Its open-source nature encourages continuous development, allowing users to benefit from ongoing improvements and community contributions.