Neural Analog
Improve audio quality in one click with GPU-based models
What is Neural Analog?
Neural Analog is an online audio processing studio that enhances audio quality using GPU-based models. It offers tools for upscaling AI-generated audio, restoring missing frequencies, extracting stems, mastering for loudness and Atmos, and importing tracks from platforms like Suno and Udio. Users can upload files or paste links, and the platform automatically fetches metadata, measures LUFS, and computes spectrograms. It supports batch processing for playlists and multiple files, and includes features like prompt-based stem separation and Match EQ mastering.
What can Neural Analog do?
Audio Upscaling
Upscale AI audio with GPU-based models, restoring missing frequencies.
Stem Splitting
Isolate any instrument with precision using prompt-based SAM Audio separation.
Mastering
Master for loudness and Atmos, targeting streaming-friendly LUFS levels.
Import from AI Platforms
Paste Suno or Udio links, or upload files; auto-fetch metadata and cover art.
Batch Processing
Process whole playlists or multiple files at once, ideal for albums and DJs.
Audio Restoration
Remove compression artifacts, background noise, and muffled sounds.
Who is Neural Analog for?
- Music producers
- Improving the audio quality of songs generated by AI platforms like Suno, using restoration and upscaling features.
- Podcasters
- Restoring podcast recordings to studio-level clarity by removing compression artifacts and background noise.
- Video editors
- Upscaling video audio and removing crowd noise from live recordings to improve the listening experience.
- Musicians
- Extracting acapella stems from existing tracks for remixing or sampling purposes.
Neural Analog has a free plan, with paid upgrades for more usage or features.
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