True Audio Restoration for Music:
Restore Signal, Not Noise.

Reconstruct missing audio information removed by lossy codecs in music with Generative Neural Networks.

SELECT RESTORATION TYPE
Supported links: suno.com, udio.com, producer.ai (songs, playlists, creators)
Or

How It Works

Import Audio

Upload music or enter the link to a AI-generated track (SUNO, Udio, Producer.ai...)

Neural Reconstruction

The model predicts the most likely high-resolution signal that could have produced the audio.

Download WAV

Export a restored high quality WAV with reduced artifacts and improved temporal detail.

See Neural Analog in Action

Restore missing high frequencies

Low sample rate musics, such as old recordings or AI generated tracks, miss high frequencies.

Use Neural Analog to restore high frequencies.

Spectrogram

Example: Music Upscaler on low quality mp3 recording

Remove clipping from poor recordings

Clipping is what happens when the audio is too loud to be encoded.

Use Neural Analog to remove clipping artifacts while maintaining high volume.

Spectrogram

Example: Remove Clipping + DACVAE upscaling on old mp3 file

Upscale English speech and improve audio quality

Use Neural Analog to upscale voice tracks, singing, and speech thanks to the NovaSR model.

Spectrogram

Example: Upscaled speech with NovaSR (mono)

Trusted by 2000+ producers

AI audio restored with Neural Analog

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

— Jordi

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

— AristA

How does the Restoration model work?

Learned Signal Statistics

The model is trained on pairs of clean, high-resolution audio and their degraded counterparts. It learns the statistical structure of real harmonic content, transients, and phase.

Time-Domain Consistency

Reconstruction is constrained in the time domain. Added detail must remain phase-coherent and temporally stable.

Objective Quality Metrics

Outputs are optimized against perceptual and signal-based metrics. The result? Clearer high ends, less wobbles, and larger sound.

Note: The restoration algorithm focuses on artifact removal and resolution enhancement. It will not fix fundamental mixing issues like reverb balance, delay, or bass levels. It is a restoration tool, not a mixing engineer.

Frequently Asked Questions

Methodology Comparison Table

FeatureInterpolationMastering (EQ/Comp)Neural Analog
MethodMathematical curve fittingFrequency/Dynamic adjustmentGenerative AI Reconstruction
Bandwidth Extension Yes (Restored)
Artifact Removal Yes (De-quantization)
ProcessUpsamplingPolishingRestoration

Don't settle for subpar audio quality.

Restore your audio files today and improve your audience's experience.

Import Your First Track