A good AI voiceover is one no one notices. The audience stays focused on your message and your brand, not on the voice. A voiceover with a noticeable error does the opposite: it pulls attention onto the mistake and signals that the brand is careless.
This matters more in video than most people expect. Audiences forgive plain lighting or a shaky shot, but not bad sound. Research on how people judge video content found that when audio quality dropped, viewers rated the speaker as less intelligent and less likeable and the content as less credible, even though the words had not changed. The most common way AI audio sounds wrong is also the easiest to fix: a single mispronounced word, usually a brand name, a person's name, or an industry term the software has never seen.
Why AI Voiceovers Get Words Wrong
Text-to-speech software does not know your business. It guesses each word from its spelling, so common words come out right and invented or specialized ones, like coined brand names and surnames, come out wrong. The fix is to give it better spelling to work from, or the exact sounds directly.
Here's what an AI voiceover sounds when it's done right, a video we made for a client's event marketing campaign, The Illinois Property Claims Workshop:
