iZotope RX vs Neural Analog for stem separation and repair
iZotope RX runs its stem model on the local computer. Neural Analog runs larger, more flexible models on cloud GPUs—without asking your CPU to do the heavy inference.
Our benchmark compared iZotope RX 12 Advanced running locally with Neural Analog cloud GPU stem models. Results vary by computer and source.
Immediate verdict
In our RX 12 benchmark, Neural Analog returned stems faster and with cleaner separation. iZotope RX remains stronger for surgical spectrogram repair; Neural Analog is stronger when stem quality, model flexibility, and processing time matter.
Neural Analog and iZotope RX at a glance
Shared capabilities come first; the final rows show the meaningful differences. A red X marks a limitation, an unavailable feature, or something not found in the cited official documentation.
Documented capabilityLimitation, unavailable, or not documented
| Criterion | Neural Analog | iZotope RX |
|---|---|---|
| Audio repair | Automated whole-song and stem restoration | Spectral editor and specialist repair modules |
| Stem separation | Fixed stems plus prompt-based separation | Music Rebalance and Stems View with four stem categories |
| Batch processing | Apply one operation to up to 100 saved tracks | Run a module chain across a batch of local files |
| API | Public audio-processing API | No public processing API documented |
| Offline or online | Online: large models run on cloud GPUs | Offline: inference runs locally on the computer's CPU |
| Stem model performance | Larger models with SAM Audio; faster and cleaner in our benchmark | Four fixed categories; slower with more artifacts in our benchmark |
| Business model and updates | Subscription access with continuous model and tool updates | Perpetual license with paid major-version upgrades |
Local CPU inference is the bottleneck
RX 12 must fit stem inference onto the local computer. That keeps audio offline, but processing time depends on the user's CPU and constrains how large the bundled model can be. Neural Analog requires an internet connection and sends the job to cloud GPUs built for heavier inference, so the local machine is not the speed limit.
Larger models produced cleaner stems in our benchmark
The quality difference comes from model capacity, not a generic cloud claim. Neural Analog can deploy larger separation models and choose between fixed, high-stem-count, and prompt-based targets. In our RX 12 comparison, that produced cleaner stems with less bleed while also finishing faster than local Music Rebalance processing.
RX is still the better surgical editor
Faster, cleaner stem splitting does not make RX obsolete. RX 12 remains the stronger tool for painting out a click, rustle, hum, or damaged spectral region by hand. Neural Analog targets the larger workflow: split or restore the song, keep every version, then mix the stems with real-time EQ, dynamic EQ, stereo, and effects.
Frequently asked questions
Why was Neural Analog faster than iZotope RX 12?
RX 12 ran its stem inference locally, so processing depended on the test computer's CPU. Neural Analog ran larger models on cloud GPUs designed for this workload. The exact speed difference varies by computer, source duration, and selected model.
Is Neural Analog or iZotope RX better for restoring a full song?
Neural Analog is usually the simpler path when a complete song needs automated restoration followed by splitting, mixing, or mastering. iZotope RX is usually better when identifiable defects need different manual treatments. This comparison uses RX 12 Advanced as its benchmark.
Can you use Neural Analog without installing software?
Yes. Neural Analog includes a browser Studio, a desktop app, and a VST, but its model processing requires an internet connection. iZotope RX 12 runs locally as desktop software and in compatible plug-in hosts.