During my time at Revolut, I coordinated voiceover productions for major marketing campaigns—including collaborations with Wieden&Kennedy—and managed localizations across multiple countries. Let me describe you a typical production for such a localization: imagine a video conference with a Dutch studio engineer, the voice talent, our regional language specialists, and me, providing detailed guidance on intonation and accent requirements for brand messaging. The human voice professionals delivered high-quality results that current AI technology can nearly replicate.
I also maintain a personal fascination with voiceover applications: I host a podcast where my co-host Jackie and I frequently discuss how convenient it would be to clone our voices using AI for recording introductions rather than handling them manually. The concept of letting AI manage repetitive tasks while we concentrate on genuine conversation remains quite attractive.
What Works Well Already
To put it simply: I'm really impressed by AI-generated voices today. They're super hard to tell apart from real voices, and since I first tested ai voices, they've gotten so much better. The ai voice generation skills are now so good that you can use them for business—ads, social media, or explainer videos. Let's look at what's working great and then move to the weaker AI voice generator features that still need a few more years to get really good.
Text to Speech and Sound Quality
Where you used to easily spot artificial intelligence in speech, many ai voiceovers now sound almost human-like. The realistic ai voice tech has gotten much better at pronunciation, especially for making professional voices. Some tools like Lovo AI have pronunciation features where you can explain how words should sound—perfect for brand names or foreign words, making truly natural-sounding AI voices.
Voice Effects
Many tools let you add pauses, emphasis, or different voice styles, helping you show mood and create more natural speech. You can pick what your voiceover is for—narration, promotion, or motivation. Voice tools like Artlist let you choose video types: commercials, social media, health content, trailers, characters, tutorials, or documentaries. The intonation control has become really good.
Video Editing Integration
Since you'll often want voiceovers in videos, many companies I tested understand this well, making voice and video editor integration much smoother. You can now edit ai video content and voices in the same tool, avoiding version problems and constant file uploading. This feature makes content creation much faster.
Speech to Speech
Different tools let you recreate your voice in new styles while keeping its unique speech patterns. This text-to-speech feature is pretty cool—suddenly I can sound like a man (the closest I'll get to that!). The human speech patterns stay really well preserved.
What Doesn't Work
Laughs
Laughs are still hard—even when you ask for them, they rarely sound real. Only ElevenLabs made a giggle I'd actually accept. I haven't found real laughter that feels authentic. This is still where human voice actors win, though AI tools are catching up fast, most realistic voice generators still struggle with real emotional expression.
Dubbing Videos
This explains why ElevenLabs didn't get first place in my
AI Voice Generator Review: sometimes AI voice companies try too hard and add feature that are just not ready yet. Just like with ElevenLabs' and Murf. AI's dubbing feature—I couldn't get anything useful from it. The voiceover for dubbing creates total nonsense take a look below.