Neural Analog

What is Neural Analog?

Neural Analog is an audio production platform designed to transform rough or compressed audio into release-ready tracks. Built by AI engineer and musician Nicov, the platform combines GPU-based models for audio restoration, stem splitting, and professional mastering. It serves AI music creators, producers, podcasters, and audio engineers who need to salvage old recordings, enhance AI-generated tracks, or prepare music for streaming platforms. The platform bridges the gap between AI generation and professional production with tools for audio upscaling, surgical stem extraction, and LUFS-targeted mastering.

Key Features

• Audio Restoration & Upscaling

  Restore compressed MP3s and damaged recordings to pristine 20kHz WAV quality by removing artifacts, noise, and muffled sounds using GPU-based AI models.

• Prompt-Based Stem Splitting

  Surgical stem extraction using SAM Audio technology that allows text prompts to isolate any instrument or sound, from 'piano' to 'vintage drum machine' with minimal artifacts.

• Professional Mastering

  Automatic mastering targeting industry-standard loudness levels (e.g., -14 LUFS for Spotify) with Match EQ to capture the tonal balance of reference tracks.

• Bulk Processing Workflow

  Import entire playlists from Suno, Udio, or upload multiple files to restore, master, and download in batch—ideal for albums, labels, and AI creators managing large libraries.

• Direct AI Platform Integration

  Import tracks directly from AI music platforms like Suno and Udio via link, with automatic metadata, cover art, and LUFS analysis before processing.

Use Cases

• AI Music Enhancement : Producers can fix the 'AI sound' in Suno or Udio generations by restoring missing frequencies, removing artifacts, and making tracks radio-ready for release.
• Salvaging Old Recordings : Musicians can recover lost high-quality versions of old tracks from compressed SoundCloud or MP3 sources, restoring them to studio-level clarity.
• Podcast & Voice Restoration : Podcasters and content creators can clean up voice recordings, remove background noise, and enhance speech quality for professional-sounding episodes.
• Stem Extraction for Remixing : DJs and remix artists can isolate vocals, drums, bass, or specific instruments from full mixes using prompt-based separation for creative rework.
• Streaming-Ready Mastering : Independent artists can master tracks to platform-specific LUFS targets without expensive DAW plugins, ensuring releases sound competitive on Spotify and Apple Music.

FAQs