NAM Loader Pedal: AUv3 Plugin

Neural Amp Modeler (NAM) Loader brings the power of neural network-based amp modeling to your iOS device. Load any .nam model captured from real guitar amplifiers and cabinets, and play through them with the authentic feel and response of the original gear. Whether you're practicing with headphones, recording in GarageBand or AUM, or playing live through your favorite AUv3 host, NAM Loader delivers studio-quality amp simulation with the warmth and character of classic tube amps, the punch of solid-state, or the high-gain tones of modern metal — all from a single neural network model. Tone3000 Community Integration: • Browse thousands of community-created NAM models • Sign in with your Tone3000 account to access your saved tones • Download and load models directly within the app • Search by amp, pedal, or artist to find your perfect sound Key Features: • Load any standard .nam neural amp model • Built-in noise gate to keep your signal clean • Tone stack EQ (Bass, Middle, Treble) to shape your sound • Impulse Response (IR) support for cabinet simulation • AUv3 plugin — works with GarageBand, AUM, Cubasis, and more • Standalone mode with built-in audio input • MIDI CC mapping for hands-free parameter control • Low-latency processing for real-time performance • Perfect companion for Studio Camera and other music apps Note: This app requires an AUv3-compatible host app (such as GarageBand, AUM, or Cubasis) to function as a plugin. In standalone mode, it operates as an audio effects processor with full MIDI control. Download NAM Loader today and unlock the world's largest collection of neural amp models on your iPhone or iPad.

Added Stereo IR (Impulse Response) support for enhanced stereo processing and wider guitar tones. Bug fixes.

Developer

Rafael Guilherme Bertholdo

Main Category

Music

Version

1.15

Version Release

2026-06-11

Initial Release

2026-06-08

Size

14 MB

Age Rating

4+

Price

USD 4.99

Languages

EN

Bundle ID

br.com.rafabertholdo.studiocam.nam

Version Rating

★ 4.00 (1)

First Seen

2026-06-09

Metadata updated 2026-06-15

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