I've been loving the app. The audio restoration works amazing on my suno songs
Make Your Suno Songs Louder
With Automatic Mastering
Match the loudness and tonal balance of commercial releases and make your tracks stand out, the smart way.
SELECT TARGET SOUND
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
Upload Your Suno Track
Paste your Suno link or drop your file. No DAW required. No settings to figure out.
AI-Powered Mastering
Upscale first to clean up frequencies, then optimize loudness. Add Match EQ from presets to reshape the tone.
Download Loud & Clear
Get a streaming-ready file that competes with commercial releases. Hit the perfect loudness for your genre.
Hear the difference
Why Your Suno Track
Sounds Quiet
Every song you hear on Spotify or Apple Music went through a final step called mastering. That's what makes it sound loud, punchy, and polished on any speaker.
Suno skips that step entirely. Your AI track is raw, unprocessed output. As polished as an essay from ChatGPT. That's why it sounds weak next to commercial releases.
The fix? Master your track. You can do it automatically with Neural Analog, in seconds. Lift the mood and apply Match EQ (Matchering) to reshape the spectral profile toward your target style.
- Clean up first: restore missing frequencies and remove compression artifacts before making it louder.
- Reach commercial loudness: different genres need different targets. Apply industry standards automatically.
- Match EQ: Adapt the tone of your song to match genres standards and sculpt the mood.
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
Why Not Just Use Audacity or One of Those Online Mastering Tools?
Good question. Here's the honest answer.
Audacity / Just Cranking Gain
- Creates distortion and clipping
- Harsh frequencies become harsher
- No frequency restoration
- Guessing game: "is this loud enough?"
Generic Online Tools
- Built for DAW recordings, not AI audio
- Just generic EQ + volume increase
- Can't fix Suno's "hissing" artifacts
- No analysis, unclear final LUFS.
Neural Analog
- GPU-based AI upscaling first
- Removes Suno-specific hissing
- Effect chain tuned for AI audio
- Exact LUFS targeting for your genre
What Actually Happens to Your Track
AI Upscaling
Suno outputs are often missing frequencies above 16kHz. Leverage GPU models to restore the high-end spectrum and remove "hissing".
Precise LUFS Targeting
Pick your target: optimized for streaming dynamics, or louder for competitive genres.
Industry-Grade Chain
Effects designed with leaders from the industry, fine-tuned specifically for AI audio. Result: publishable on any platform.
Frequently Asked Questions
Why is my Suno song not loud enough?
Suno's output loudness varies based on track dynamics and generation randomness, and many tracks come out around -18 to -22 LUFS while streaming platforms normalize near -14 LUFS. You can use auto mastering to raise loudness for consistent playback while maintaining audio quality.
Open full answerWhat are LUFS and why does -14 matter?
LUFS (Loudness Units relative to Full Scale) is the standard measurement for perceived audio loudness. Spotify, Apple Music, and YouTube automatically adjust every song to around -14 LUFS. If your track is louder, they turn it down. If it's quieter, they leave it as is—making it sound weak. Matching this target gives you consistent playback and competitive loudness.
Open full answerUse the Loudness Penalty Analyzer or LUFS analyzer to measure a file before release, then use Automatic Mastering if you need to hit a target safely.
Why can't I just make my track louder in Audacity?
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.
Open full answerNeural 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.
How do I release my Suno song on Spotify?
First, get your track sounding professional: restore audio quality and master it to at least -14 LUFS using Neural Analog. Then use a distributor like DistroKid, TuneCore, or CD Baby to upload to Spotify. Make sure you have the rights to the music before distributing.
Open full answerHow can I improve my Suno audio quality?
Import the Suno track, run Audio Restoration to reduce compression artifacts and rebuild missing detail, then use Automatic Mastering to optimize loudness and tonal balance.
Open full answerThe full workflow is covered in the Suno audio quality guide.
Will mastering change how my music sounds?
The mastering process preserves your original creative intent. Your track will sound clearer, more present, and competitively loud without sounding squashed or distorted.
Open full answerHow do I fix a song that sounds flat, muddy, or weak in the bass?
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:
Open full answer- 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.
Your Track Deserves to Be Heard. Properly.
Stop settling for quiet, weak-sounding uploads. Get professional loudness in 60 seconds.