Frequently Asked Questions

ToneCast is a polished, fast Neural Amp Modeler (NAM) player for Windows. It lets you load and play custom amplifier captures and cabinet impulse responses (IRs) in real time with minimal latency, either as a standalone application or a VST3 plugin.

A Neural Amp Modeler (NAM) model is a highly accurate, machine-learning-based representation of a guitar amplifier or pedal. Created using the open-source Neural Amp Modeler training software, these models capture the real physical dynamics and compression of analog circuits.

No, ToneCast is optimized strictly as a player and loader. It does not train new models. Training models requires intensive GPU computation and is handled separately using the upstream Python neural-amp-modeler project.

ToneCast supports standard .nam files. These models can be loaded directly from your local drive without requiring conversion.

ToneCast supports standard audio .wav impulse response files. You can load 24-bit or 16-bit mono or stereo WAV files at any common sample rate (44.1kHz, 48kHz, 88.2kHz, 96kHz).

Yes! The Windows standalone application includes an integrated audio device manager that supports low-latency ASIO drivers. You can plug in your audio interface, adjust your inputs/outputs, and play guitar directly without launching a DAW.

ToneCast supports the VST3 format on Windows. VST3 is fully compatible with modern DAWs such as Cubase, Reaper, Studio One, Ableton Live, FL Studio, and Bitwig Studio.

Yes. ToneCast is local-first. All core features — loading models, loading cabinet WAVs, presets, and audio signal processing — run completely offline on your computer. An internet connection is only needed for the planned TONE3000 online library browser.

Currently, ToneCast is Windows-first, targeting the Windows standalone application and VST3 format. Investigation for a macOS version is listed on our roadmap under planned long-term items.

Android support is a long-term roadmap goal. The core DSP engine is separated to allow potential integration into mobile app containers in the future.

TONE3000 is an upcoming online library browser integrated directly into the ToneCast standalone application. It will allow you to browse, search, download, and test community-created amp models and IRs directly in your signal chain.

Yes. ToneCast builds on the open-source Neural Amp Modeler ecosystem. The core parts are developed openly, and the source code is hosted on GitHub.

ToneCast is currently in active development. We are running an Early Access program for guitarists, producers, and developers. Register your interest below to receive testing access and updates.

Direct downloads will be available as soon as stable build installers are compiled. For now, you can sign up for early access, or view and build the source code directly from the GitHub repository.