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.
Upload audio
Drag & drop or click to browse (multiple files supported)
This is the SUNO hiss and how you fix it.
Listen for restored brightness, cleaner transients, controlled hats, and less boxed-in tone. The spectrograms show how AI restoration can stabilize and rebuild upper-band content before mixing or mastering.




These generations were shared by Neural Analog users
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
What is AI music upscaling? It is the restoration step that rebuilds missing audio detail before you make a song louder or more polished. If you make music with AI, you have probably heard the "AI sound". A hodgepodge of splashy hi-hats, capped highs, smeared cymbals, metallic vocals, messy reverb, weak bass, weak transients, and compressed MP3 texture.
There is no secret to fix your AI songs: use more compute. To fix all the small details that make a difference to your listeners, you need the computer to spend more time adjusting them.
Traditional online upscalers and mastering platforms don't do that. They were built for studio recordings or simple file conversion. When you feed them an AI song, they often amplify the flaws.
Neural Analog is built around powerful automated GPU-accelerated pipelines and a suite of tools for AI musicians: restoration, stem splitting, Match EQ, mastering, and export in one platform.
Yes. If the source is MP3 or otherwise degraded, upscale or restore the sample before time-stretching, pitch-shifting, saturation, or heavy effects. That reduces artifact amplification later in production.
Start with MP3 to WAV upscaling, then download the restored file from Studio for use in your DAW.
Upscaling and mastering do different jobs. Upscaling reconstructs missing data and reduces MP3 artifacts, while mastering applies EQ, compression, and loudness optimization.
Always upscale MP3 files first, then master the restored WAV for professional release.
Once your audio is restored, the Automatic Mastering tool can polish it for professional release, with intelligent loudness optimization tailored to your track.
Neural MP3 upscaling reconstructs coherent signal, not random noise. It can reduce compression artifacts while rebuilding harmonic content above the damaged bandwidth of the source.
Start with MP3 to WAV upscaling for general music cleanup, or use Audio Restoration to compare multiple restoration models.
Many AI-generated tracks sound capped or artifacted because training data and platform exports often include lossy compression. The model can learn bandwidth limits, swirly highs, brittle cymbals, and other MP3 artifacts.
Use MP3 to WAV upscaling or Audio Restoration to reduce artifacts and rebuild missing high-frequency detail before mastering.
It can help when the stem sounds muffled because it lost high-frequency detail during compression or separation. Run restoration on the stem before heavy effects, pitch shifting, or layering.
If the problem is low-end muddiness, masking, or a bad stem balance, use EQ, volume, or another stem split in Studio instead of expecting upscaling to fix the mix.
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.
Export a high-quality WAV that make the difference to your audience.