UniverSR Online:
Powerful AI Audio Restoration

UniverSR is a more powerful audio super-resolution model for restoring foley, sound effects, music, and other degraded audio. Neural Analog lets you run it online and export restored WAV files.

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Supported links: suno.com, udio.com, producer.ai, topmediai.com, mureka.ai, sonauto.ai (songs, playlists, creators where available)
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See UniverSR in Action

How UniverSR Works

Import Degraded Audio

Upload music, archival recordings, retro game sounds, foley, or sound effects.

Run UniverSR

The model reconstructs missing high-frequency and transient detail from low-bandwidth or damaged sources.

Download Restored WAV

Export a cleaner 48kHz result ready for editing, mixing, archiving, or sound design.

What Is UniverSR?

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.

UniverSR Example: Restoring Retro Foley and SFX

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.

Original Spectrogram

Example: Sword2.wav restored with UniverSR

More UniverSR Audio Examples

These examples come from the restored RPG Maker 2000 pack and show the model on impacts, bells, creature sounds, and other game audio.

Jump1.wav

Original RTP

Restored

Absorption1.wav

Original RTP

Restored

Bite.wav

Original RTP

Restored

Bell.wav

Original RTP

Restored

Explosion2.wav

Original RTP

Restored

Sheep.wav

Original RTP

Restored

Trusted by 6000+ music lovers

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Jordi

Audio Super Resolution

I've been loving the app. The audio restoration works amazing on my suno songs

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AristA

Acapella extraction

Neural Analog makes me feel like a monkey with an AK-47, in the best way possible

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Vicki (People Like Us)

2600+ songs saved

It worked! Well done :) Many thanks :))))

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Henry

Crowd removal with SAM Audio

Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd

Listen to tracks made by our users

AI audio enhanced with Neural Analog

Why Use UniverSR Online?

More Powerful Restoration Model

UniverSR handles more than old music. It can restore foley, sound effects, damaged recordings, and other hard-to-reconstruct audio.

Built for Tough Low-Bandwidth Sources

It reconstructs believable upper-band detail on narrowband and degraded material where ordinary upscaling or EQ usually falls apart.

Run UniverSR Online

Use the high-compute model directly in Neural Analog with upload, configuration, preview, and WAV export in one workflow.

Frequently Asked Questions

UniverSR is a heavier and more capable restoration model. It is better suited to difficult degraded audio, including foley, sound effects, music, voice, and other narrowband material. AudioSR is lighter and still useful for classic high-frequency regeneration workflows, but UniverSR generally gives stronger results on harder inputs at a much higher compute cost.
UniverSR works on more than music. It can help with foley, retro game sounds, sound effects, voice, archival recordings, and other degraded or low-bandwidth audio. Results still depend on the source, so the best way to evaluate a difficult file is to try a representative excerpt.
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.
UniverSR is the most compute-heavy restoration model in Neural Analog. It uses much more GPU time than the standard upscalers, so it is reserved to Pro users and above for longer music, foley, and sound-effect restoration jobs.
That depends on processing, but most tracks take about a minute. For longer tracks, despite using fast GPUs, the processing time can take longer. You can leave the page and come back later.
Yes, it can work on old codecs and low bit-depth audio. Processing is based on raw signal rather than a specific codec, so trying a sample is the best way to evaluate performance.
Yes. Support depends on the model. UniverSR restores audio to 48Khz. The 'Music Upscaler' restoration algorithm keeps 48Khz sources at 48Khz, and restores 44.1Khz-or-lower sources at 44.1Khz.
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.

Run UniverSR on Your Audio

Use Neural Analog to restore foley, sound effects, music, and other degraded audio with UniverSR.

Import audio