What audio mixing features matter most to you?
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I'm launching VOID MIX soon — a free browser-based tool for mixing voice + BGM.
Curious: if you mix audio for podcasts, YouTube, or audiobooks, what's your biggest pain point?
Currently supported: auto ducking, voice EQ, smart cut, 2,200+ free BGM tracks, MP3/WAV export.
What would you add?
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Visla
I'll be honest, I'm an audio engineer w/ 30yrs experience, reading this, it reads like a feature checklist. I prefer to think in terms of outcome + constraints. I don't wake up wanting more knobs, I want fewer surprises, fewer passes of a mix.
But to answer your question, if aimed at less experienced users here's what you should focus on:
Standardize loudness control: Target LUFS by use case, podcast, YouTube, Audibook (ACX compliant), with true peak limiting that doesn't chew your transients. Since i'm assuming it's aimed at newbies, no guessing, no manual math, no "sounds fine on my laptop" outputs.
Most people get voice EQ wrong, you have to respect the different voices. Male vs female, presenter vs narrative tones, de-essing that isn't a lisp, most people overthink this.
Keep the breaths, unless they want to remove it. Pacing and emotion reign supreme, basic tools lose it when they lose the emotion of the audio.
Otherwise it's easier to just do it in Logic, or ProTools.
Thant said, good luck!
@mogabr
Thank you — this is exactly the kind of feedback I was hoping for. 30 years of experience in a single comment is worth more than weeks of user testing.
You're right. A feature checklist doesn't solve real problems. What matters is: "Did it sound right on the first pass?"
Your points are going straight into our roadmap:
LUFS targeting — This is the obvious next step. Podcast (-16 LUFS), YouTube (-14), ACX (-18 to -23) with true peak limiting. No guessing, just pick your platform and export. You shouldn't need to know what LUFS means to get compliant output.
Voice-aware EQ — We already have voice profiling (F0 detection, voice type classification), but you're right that it needs to go deeper. Male vs female is just the starting point. Presenter
vs narrative tone is a distinction most tools completely ignore.
Breath preservation — This one resonates. Our Smart Cut currently removes silences, but breaths are not silence. They carry pacing and emotion. We'll make sure breath detection is separate
from silence removal. Remove dead air, keep the human.
The goal isn't to replace Logic or Pro Tools — it never could be. It's to give the creator who just recorded a great podcast episode a way to get a professional-sounding mix without a
6-month learning curve.
Genuinely appreciate you taking the time. This is the kind of feedback that shapes the product.