Hey everyone! I've been living in Suno for the past few weeks, generating tons of tracks. The initial "wow" moment is incredible, but I quickly realized the raw output often needs some TLC before it feels like a *finished* song.
Our team has settled into a pretty smooth workflow to take a Suno gem from the platform to a polished, releasable track. I wanted to share our steps—maybe it'll help someone else!
**Our Typical Post-Suno Cleanup Chain:**
1. **Initial Selection & Download:** We generate multiple variations, pick the best one, and download the WAV file directly from Suno. The HQ download is a must for the next steps.
2. **Noise & Artifact Cleanup:** We run the WAV through **LALAL.AI**'s "Voice Cleaner" tool. This is a game-changer! It significantly reduces that faint background noise/hiss and subtle digital artifacts without touching the main vocals or music. It's like wiping a dusty lens.
3. **Basic Mixing & Mastering:** The cleaned file goes into **BandLab** (free and browser-based!). Here we do:
* Gentle EQ adjustments (often rolling off the very low end).
* A tiny bit of compression to glue things together.
* A final limiter to bring the overall volume up to a standard listening level without clipping.
4. **Final Export:** Export from BandLab as a high-quality MP3 (for sharing) and WAV (for archiving).
The whole process adds maybe 15-20 minutes per track, but the difference in clarity and professionalism is huge. It turns a cool AI demo into something you can confidently add to a playlist or share on socials.
Has anyone else developed a similar routine? I'd love to hear about different tools you're using for cleanup—especially any other no-code solutions! 🎧
Cassie