About Neural Analog
What's Neural Analog?
Neural Analog pushes your music to its best version thanks to GPU-enabled audio production techniques.
Restore that compressed MP3 to pristine 20kHz WAV. Extract stems and clean up noise. Master audio quickly and precisely. Do with audio what you could never do before.
- Fix the AI sound. Remove hissing, noise, artifacts, ringing, and other AI-music tell. Instead of critics asking "is this AI?" or "what's your prompt?", have listeners enjoy your music for what it is.
- Stop prompting. Start producing. Upload your AI track and get clean stems and MIDI that drop straight into your DAW.
- Finish the damn song. Sound like a pro with mastering.
Who Made This?
Hi, I'm Nicov, the creator of this website! I'm an AI engineer and I've been a musician for 10+ years. I've built Neural Analog to help me salvage my old recordings and push the limits of what computers can do with audio.
My goal is simple: bring more beauty to the world. I'm always looking out for new research, techniques, and models to chisel your productions quality with intuitive, performant tools. Join Discord to follow my journey.
What does Neural Analog mean?
The name Neural Analog is inspired from the first neural network built by scientists in 1951, the SNARC, an analog computer that used continuous electrical signals to learn like a brain. Notably, SNARC learned to navigate a maze like a rat. For the first time, a machine was learning. This is the experimental, avant-guarde mindset I'm bringing to audio production.
The Vision
The future is analog AI hardware. My dream is to build an analog neural networks that run audio workflows 1000x more efficiently. Sub-millisecond latency. Complex models running on dedicated analog chips. MIT, IBM, and Intel are already experimenting there. Let's bring it to audio synthesis.
From your brain to sounds, in a glimpse.