I've been loving the app. The audio restoration works amazing on my suno songs
Fix muffled Suno songs
and export streaming-ready WAVs.
Import a Suno link, restore missing high frequencies, reduce metallic hiss, master the result, and export a cleaner file for the tracks you own.
SELECT PIPELINE
Or
Upload audio files
Drag & drop or click to browse (multiple files supported)
Supports: MP3, MPEG, MP2, MPGA, WAV, WAV, AIFF, AIF, AIFF, AIF, FLAC, AAC, OGG, OPUS, M4A, MP4, WEBM, WMA, ALAC, AMRMax size: 50MB.
How it works
Import Your Track
Paste a Suno link or upload the file.
Restore Missing Frequencies
Reduce metallic artifacts, harsh highs, and encoding damage with specialized AI models that regenerate high frequencies.
Export a Cleaner WAV
Use reference-based mastering for a cleaner tonal balance and export a streaming-ready file.
Watch the Suno Hiss Fix Demo
Fix the Source Before You Master It
If the track already has hiss, metallic tone, or smeared highs, normal mastering usually makes it worse. This example uses AudioSR with a 4kHz cutoff in mono to regenerate high frequencies before mastering.
Example: AudioSR restoration before mastering (4kHz cutoff, mono)
Example: Remove clipping texture and recover punch
What People Mean by "Suno Hiss"
It is usually not just hiss. What you hear is often a mix of metallic tone, AI shimmer, squeaky quality, high-pitched sound, weak transients, and a boxed-in midrange.
- Metallic or hollow vocals
- Shimmery highs and AI shimmer texture
- Squeaky quality on sustained notes
- "Aluminum can being rubbed" type top-end resonance
- High-pitched sound that feels detached from the mix
- Grainy highs and smeared reverb tails
- Boxed-in mids
- Weak drum transients
- Busy sections that collapse together
What You Can Do About It
Restore the damaged parts first, then master the cleaner file. That gives you a better chance of getting smoother highs, more natural vocals, and a mix that opens up instead of getting harsher.
Trusted by 15,000+ music lovers
Neural Analog makes me feel like a monkey with an AK-47, in the best way possible
It worked! Well done :) Many thanks :))))
Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd
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.
H
Hasina
4 out of 5 stars
Useful app besides AudioSR that needs improvement for AI vocals high frequencies restoration. It sometimes adds a straight line at 10kHz or reduces the 5-10kHz volume. I only got the right correction on my 5th restoration of the same vocal.
TG
The Grim Tower
5 out of 5 stars
Love it! Makes everything crisp!
SH
Shrunken Head
5 out of 5 stars
IT'S GREAT
F
Francisco
5 out of 5 stars
Sensacional
TS
Tommi, Studionet
5 out of 5 stars
Highend services!
Listen to tracks made by our users
AI audio enhanced with Neural Analog
Built for AI-Generated Audio
Artifact Reduction
Target the common problems in generated music, including metallic tone, smeared highs, and weak transients.
Audio Restoration
Rebuild missing detail thanks to specialized AI model instead of only boosting EQ.
Reference Mastering
Shape the cleaned track toward a more natural tonal balance.
Better Translation
Help the track hold up better on headphones, speakers, and phones.
Frequently Asked Questions
For most songs, use this order:
- Split the song into stems with the Universal AI Stem Splitter if you need to fix individual parts.
- Restore or enhance the stems that need work with Audio Restoration.
- Use EQ, volume, or Match EQ to balance the stems together.
- Export the finished stem mix.
- Import the exported mix again and use Master as the final loudness step with Automatic Mastering.
In other words: restore and mix first, then master the final mix.
No. They solve different problems.
- Audio restoration tries to rebuild missing frequencies, reduce compression artifacts, and improve the source quality.
- Mastering changes loudness, dynamics, and tone so the track is more polished and playback-ready.
If your file sounds compressed, old, muffled, or artifacted, restore it first with Audio Restoration. Then master the restored file with Automatic Mastering.
For a deeper explanation, see the restoration versus mastering FAQ.
Restoration and mastering solve different problems. Many mastering services rely on multiband compression to boost or compress existing frequencies, so mastering without restoration can amplify artifacts instead of fixing the root quality issue.
Once your audio is restored, Automatic Mastering can polish it for professional release, with intelligent loudness optimization tailored to your track.
Audio restoration analyzes spectral content and removes lossy-compression "chirps" and "warbles", replacing them with coherent harmonic content.
If you are deciding what to run first, restore compressed or damaged sources before mastering. If the source already sounds clean and only needs loudness, go straight to Automatic Mastering.
Yes. However, for AI-generated MP3s, you can achieve even better results by first using Neural Analog's Audio Restoration service to rebuild missing frequencies, then mastering the restored file. This two-step process gives you the highest possible quality.
The mastering process preserves your original creative intent. Your track will sound clearer, more present, and competitively loud without sounding squashed or distorted.
A basic volume boost turns everything up together. If the peaks hit 0 dBFS, the file clips, dynamic range collapses, and harsh frequencies can become more obvious. That is different from mastering.
Neural Analog mastering uses limiting, loudness targeting, and tonal balance controls so the track can get louder without simply clipping. If the source is a compressed AI-generated MP3, restore it first with Audio Restoration, then master the restored file.
A single restoration model may not fix every problem. If the track sounds flat or weak in the low end, try a stem-based workflow:
- Split the song using the 4-stem preset.
- Select the bass stem.
- Enhance it with Neural Remix.
- Use EQ to boost or clean the low end if needed.
- Blend the processed version with the original if the result is too strong.
UniverSR is better for missing high frequencies. Neural Remix and EQ are often better starting points for bass, muddiness, or low-end problems.
Use stem splitting when one part of the song is the problem, and use mastering only after the mix balance is already close.
If your Suno track sounds muffled, fix the source first.
Paste the link, restore missing frequencies, master the result, and export a cleaner WAV.