How does Paul Rogers’s technique for fixing bad audio in post outperform traditional methods?

My approach leans on AI-powered cleanup (like Adobe Podcast) instead of heavy manual EQ, noise reduction, and compression chains. Traditional methods mean:

1. Lots of fiddling with plugins and settings
2. Steeper learning curve
3. Inconsistent results if you’re not an audio pro

With the AI workflow I use, you:

1. Upload the raw, even “garbage” audio
2. Let the tool auto-clean noise, echo, and tone
3. Get near studio-quality sound in seconds, not hours

It’s not about replacing engineers, it’s about giving everyday creators a “cheat code” so bad rooms, loud backgrounds, or non-fancy mics don’t kill your content.

What kind of audio are you struggling with most right now—echoey room, background noise, or low volume?