R.
Audio restoration and stem separation
It can bring back clarity without making everything sound too artificial or overprocessed. Stem separation is also surprisingly clean.
UniverSR is a more powerful audio super-resolution model designed to restore missing bandwidth and detail in a wide range of audio types. It works on foley, sound effects, music, voice, and other degraded material, making it a better fit for difficult restoration jobs than narrower upscalers.
Unlike simple EQ or resampling, UniverSR reconstructs plausible upper-band content from the source itself. Neural Analog runs the model online so you can restore audio without local GPU setup, Python environments, or batch scripts.
For a concrete case study, listen to the restored RPG Maker 2000 RTP sound effects in the full UniverSR article.
This RPG Maker 2000 Sword2 effect shows how UniverSR can reconstruct bandwidth and brighten old game audio without changing the underlying timing of the sound.








These generations were shared by Neural Analog users
These examples come from the restored RPG Maker 2000 pack and show the model on impacts, bells, creature sounds, and other game audio.
Original RTP
Restored
Original RTP
Restored
Original RTP
Restored
Original RTP
Restored
Original RTP
Restored
Original RTP
Restored
R.
Audio restoration and stem separation
It can bring back clarity without making everything sound too artificial or overprocessed. Stem separation is also surprisingly clean.
N.
MP3 and CD audio restoration
Does amazing job in restoring Audio from bad quality MP3s and badly extracted audio from CDs. Always my go to for audio restoration.
Amazing tool for audio. Clean, simple, and effective. I would spend hours in RX to get the same results. Give it a try. I can save you hours of production time.
M.
Restoration and mastering
The flash upscaler mixed with the composite mix system makes it super easy to get closer to a song master that I'm happy with
I've been loving the app. The audio restoration works amazing on my suno songs
IMDK
I love the interface. I love the bulk upload/download features. They're a life saver! Also I just realized that Apollo is magic and I don't even need to use denoise. Apollo somehow removes noise much more naturally. So I'm actually spending way less credits than I expected.
Eve St. Jude
Production workflow
Neural Analog has been a godsend to me and my workflow, such a game changer. I'm more thankful than words can express, I don't know what I would have done without it.
Eve
amazing!!!! love this! THANK YOU! I just discovered batch dl, this feature SAVED ME
Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd
It worked! Well done :) Many thanks :))))
Bjark
Easy to use and high quality results.
AI audio enhanced with Neural Analog
UniverSR is a heavier restoration model designed for difficult degraded audio, including sound effects, music, voice, and narrowband material. AudioSR is lighter and still useful for classic high-frequency regeneration pipelines.
Use AudioSR Online for faster high-frequency regeneration, and UniverSR Online when the source is harder and the extra compute is worth it.
UniverSR is useful for degraded, compressed, narrowband, or old-sounding audio. It can help rebuild high-frequency detail and reduce harsh high-frequency artifacts such as hiss, brittle cymbals, sibilance, or missing brilliance.
It works on more than music: foley, retro game sounds, sound effects, voice, archival recordings, and other degraded audio can benefit.
However, it is not the best tool for every problem. Bass stems and low-end muddiness often need Neural Remix, EQ, or stem-level editing instead of high-frequency restoration.
Start from UniverSR Online, or compare restoration models in the restoration docs.
No, it does not just add noise. Unlike enhancers that layer white noise, the generative model reconstructs the clean signal that should be there by separating useful harmonic and transient structure from compression artifacts and other degradations.
Quick restoration audio example
Original compressed clip
Restored output
For more examples, open Audio Restoration.
UniverSR is one of the most compute-heavy restoration models in Neural Analog. It uses more GPU time than standard upscalers, so longer UniverSR jobs are reserved for Pro users and above.
Use UniverSR Online for difficult music, voice, archival, and sound-effect restoration jobs, and see the UniverSR model card for technical details.
Processing time depends on the operation, selected model, input length, and queue load. Short jobs often finish in about a minute, while long tracks, batch jobs, and heavier models such as SAM Audio Large or UniverSR can take several minutes or more.
You can leave the page and come back later. Finished imports, restorations, masters, and stems stay in Studio, where you can reopen the project and download the result.
Yes, restoration can work on old codecs and low bit-depth audio after the file is decoded into an audio signal. Results depend on how much usable information remains in the source.
Try a short sample with Audio Restoration. For retro game and sound-effect material, see the UniverSR sound effects guide.
Yes. Support depends on the model. UniverSR, AudioSR, and FlashSR upscale low resolution audio to 48 kHz (super resolution). The 'Music Upscaler' restoration algorithm keeps 48 kHz sources at 48 kHz, and restores 44.1 kHz-or-lower sources at 44.1 kHz.
For the model-level details, read the UniverSR sample-rate guide or compare models in the restoration docs.
Yes, you can run restoration more than once. You can change the selected Source to run another pass on already restored audio, and batch imports support an 'Iterative restoration' toggle that selects the latest restored version of each file.
Do this in Studio by selecting the restored version as the source before running another restoration. Stop when the result improves less than the artifacts it introduces.
Use Neural Analog to restore foley, sound effects, music, and other degraded audio with UniverSR.