Chart standing · US
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What's new in this version: • Improved sound accuracy • Tone controls now use a 0-10 scale • Clean model resampling on sustained notes • Noise gate timing corrected • Knobs respond immediately without scrolling the page • IR playback level and low-end response corrected • Improved stability with buffer size changes and long sessions
Price & rating history · US
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Price · USD
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About
NAM brings the power of Neural Amp Modeling to iOS. Load real amplifier captures (.nam files) and impulse responses (.wav) to create your perfect guitar tone — all running as a low-latency AUv3 effect. Features: • Load any NAM profile (.nam) for authentic amp and pedal sounds • Load custom cabinet IRs (.wav) for speaker/mic simulation • 3-band tone stack (Bass, Mid, Treble) matching the official NAM plugin • Noise gate with adjustable threshold • Input gain and output level controls • Normalized, raw, and calibrated output modes • Works in GarageBand, Logic Pro, AUM, and any AUv3-compatible host Whether you are practicing at home, recording in the studio, or performing live, NAM delivers the sound of real amplifiers right on your iOS device. Where to get models: thousands of free amp captures and cabinet IRs are shared by the community on sites like TONE3000 and ToneHunt. Download any .nam or .wav IR file, open it in NAM, and play. Works great in GarageBand, Logic Pro, AUM, Koala, Cubasis, Loopy Pro, and any AUv3 host. NAM is a player-only implementation — it loads and plays existing model captures but does not perform training or model creation. Neural Amp Modeler (NAM) was created by Steven Atkinson. This app is an independent iOS port of the NAM player and is not affiliated with the official NAM project. The official NAM desktop plugin and source code are available at https://neuralampmodeler.com. EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What's new · 1.5.0
What's new in this version: • Improved sound accuracy • Tone controls now use a 0-10 scale • Clean model resampling on sustained notes • Noise gate timing corrected • Knobs respond immediately without scrolling the page • IR playback level and low-end response corrected • Improved stability with buffer size changes and long sessions
Details