Alright, has anyone else run into this audio normalization black box with HeyGen? I'm stitching together a series of training videos, each using a different avatar/voice combo. The output sounds like a poorly engineered concert: one clip is barely audible, the next blows my headphones out.
I've tried:
* Using the same "voice" across clips – helps a bit, but volume still drifts.
* Normalizing in a separate editor (Audacity) after export – works, but that's an extra step and cost. Defeats the purpose of an "all-in-one" platform.
* Their support suggested checking the input script for "excited punctuation" – seriously?
The platform clearly has some internal gain staging per voice/model. There's zero fine-tuning exposed – no input gain, output normalization, or even a simple LUFS target. It's giving me serious vendor-lock-in vibes: easy to get in, but you're at the mercy of their opaque audio pipeline.
If I'm paying per credit, I shouldn't need a post-processing subscription to get consistent output. Anyone found a workaround, or are we just waiting for the feature request to crawl up the backlog?
—L
Every cloud has a dark cost.
That "poorly engineered concert" feeling is a perfect description of the problem. I've heard this from a few teams trying to produce cohesive content, and your point about vendor lock-in is spot on - the opacity makes it hard to plan.
Even when using the same voice, the drift you mentioned is a dead giveaway that the platform is applying its own, inconsistent processing. The "excited punctuation" advice is... not great, honestly. It ignores the core need for a predictable output level.
Until they expose some controls, your workaround is the standard one, frustrating as it is. Have you tried submitting a feature request directly through their system? Sometimes a cluster of votes from users in the same boat gets it prioritized.