You can try Standard separation without an account. Cloud saving and some generation or paid features require login.
Neural Amp Modeler (NAM) Online — Free Browser Amp Sim
Neural amp modeling — real amp tones, right in your browser
Try guitar tones with NAM models. Check input and model before raising output volume.
An additional IR can dull a model that already includes a cabinet. Latency also depends on the device and interface.
Standard separation, noise removal, and BPM analysis run in your browser. HQ separation, music/loop generation, reference mastering, OCR, and cloud saving send inputs or audio to servers according to the feature you choose.
Standard separation, noise removal, and BPM analysis are free. Autotune and some other tools have free-use limits; HQ and generation features have plan or credit conditions. Check the price shown before running and the pricing page.
Desktop Chrome or Edge is recommended. Features depend on GPU, memory, and browser. Test a short file first, including on mobile devices.
Detailed steps and result checks →
This workflow example uses short synthetic plucks: E2–A2–B2–E3–B2–A2–E2–E2. It is not a recorded guitar DI. The deployed NAM AudioWorklet processed the JCM2000 Crunch model at 0 dB input and −12 dB output.
Synthetic input (8 seconds)
Synthetic input (8 seconds) — WAVNAM model only
NAM model only — WAVNAM + 1x12 American IR
NAM + 1x12 American IR — WAVOutputs include one extra second for decay. The cabinet version uses the built-in 1x12 American IR. No loudness matching was applied afterwards; volume differences alone do not establish quality. This is an offline engine render, not a measurement of microphone latency.
Detailed NAM input, model, and IR workflow
Created September 7, 2026. These limited teaching examples are not accuracy or sound-quality benchmarks for all inputs.