Sparse Neural FX Modeler
Sparse Neural FX Modeler is made and published by Eli Silverstein. AppBrain is an independent app data site and isn't affiliated with Eli Silverstein. The app name, icon, screenshots and description belong to Eli Silverstein and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- September 1, 2026
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Releases
Updates seen on the App Store- Version
- 1.0
- Launched
- September 2026
No changelog data
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 4.60 MB
- Content rating
- Everyone
Technologies used by Sparse Neural FX Modeler
About the app and developer
About Sparse Neural FX Modeler
Sparse Neural FX Modeler is a music app developed by Eli Silverstein.
What is the rating of Sparse Neural FX Modeler?
Sparse Neural FX Modeler has no ratings yet.
Is Sparse Neural FX Modeler free?
Sparse Neural FX Modeler is free. The app size is 4.60 MB. The latest version available is 1.0. The last update was on September 1, 2026.
What are the requirements for Sparse Neural FX Modeler?
The app has a content rating of Everyone. The app has been available on the App Store since September 2026.
Developer information for Eli Silverstein
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Store listing
By Eli Silverstein, from the App StoreDescription by Eli Silverstein Written by the developer, not by AppBrain. Click to read.
Amber Neural FX Modeler models the sound of tube amps sample by sample. Pick from 25 captures — chiming Vox, clean Fender, cranked Deluxe Reverb, vintage fuzz — and play them in real time with latency low enough to feel like the amp is in the room.
THE PEDALBOARD
Twenty blocks you arrange in any order: up to four neural amps in one chain, drive, tape echo with wow and flutter, shimmer reverb, compressor, gate, wah, phaser, flanger, chorus, tremolo, EQ, octave, delay, and a convolution reverb. Drag blocks to reorder the signal path. Save and load your rigs as presets.
RECORD YOUR TAKES
One tap records both a dry and a processed track straight into the Files app.
BUILT ON RESEARCH
The engine comes from a published paper on efficient real-time neural amp modeling — the same models, running entirely on your device.
No ads. No accounts. No data collected. Plug in a guitar through any audio interface, or just use the mic.
Capture names identify the amplifiers the models were measured from; no affiliation or endorsement is implied.