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NAM AUv3: Neural Amp Modeler

NATHAN THOMAS MATHIS · Music · 2mo old

$4.99 · PaidNew
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Rank history — US · Top Paid

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About

Play real amplifier captures on your iPhone or iPad. Load any `.nam` model and `.wav` cabinet IR, and run it as a low-latency AUv3 effect inside GarageBand, Logic Pro, AUM, Loopy Pro, or Cubasis. 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/

Released
Jul 24, 2026
Category
Music
Content rating
4+
Price
$4.99
In-app purchases
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#89latest · best #89 in 90d

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Developer site
nathanmathis.com ↗

Screenshots

7
NAM AUv3: Neural Amp Modeler screenshot 1NAM AUv3: Neural Amp Modeler screenshot 2NAM AUv3: Neural Amp Modeler screenshot 3NAM AUv3: Neural Amp Modeler screenshot 4NAM AUv3: Neural Amp Modeler screenshot 5NAM AUv3: Neural Amp Modeler screenshot 6NAM AUv3: Neural Amp Modeler screenshot 7