Why Your AI Voiceover Sounds Amateur (And How to Fix It)
Vois TeamTLDR:AI voiceovers sound amateur because of wrong voice selection, zero mastering, monotone pacing, no post-generation editing, and wrong export settings. Fix all five and your audio becomes indistinguishable from professional production.
Frequently Asked Questions
Why does my AI voiceover sound bad?
The most common causes are mismatched voice selection for your content type, no audio mastering applied, monotone pacing from generating long text blocks, skipping post-generation editing, and exporting with incorrect platform settings.
How do I make AI voice sound professional?
Match your voice to your content category, apply mastering with LUFS normalization and de-essing, break scripts into short paragraphs for natural pacing, edit on a timeline with crossfades, and export using platform-specific presets for correct loudness and format.
What LUFS should I use for YouTube voiceovers?
YouTube normalizes to -14 LUFS. Export at that target with peaks below -1.0 dB for the best playback quality without platform-side adjustments.
Written by
Vois Team
Product Team
The team behind Vois, building the future of AI voice production.
Related articles
Why AI Voices Still Sound Robotic (And 7 Ways to Fix It)
AI voices have gotten dramatically better, but most people's output still sounds off. Here are seven specific fixes that turn flat, robotic audio into something listeners actually enjoy.
How to Produce 30 YouTube Videos a Month (Without Losing Your Mind)
Daily YouTube uploads sound insane. But with the right batch workflow and unlimited generation, the audio production for 30 videos fits into a single focused day. Here's the system.
The Pronunciation Dictionary That Makes AI Voices Sound Human
AI voices mispronounce things. Brand names, character names, acronyms, medical terms. The pronunciation dictionary fixes all of them — permanently, across every project.