I'm on the FreeVoiceClone team. A useful starting point for voice cloning is a small tutorial series: a welcome, one practical step, and a recap, all using your own voice.

Prepare the three scripts before generating audio. Keep product names and pronunciation notes in one place, then listen to the clips back-to-back before adding them to your video editor. That makes changes in wording, pace or delivery easier to notice than checking each clip alone.

FreeVoiceClone lets you create a voice from a recording and use text to generate narration. For a first project, a few short lessons give you something concrete to work with before committing to a full course.

What would you narrate first: onboarding, a product walkthrough, or a lesson?

I'm on the FreeVoiceClone team, and I'd like to understand what creators need beyond a voice that sounds similar in a short demo.

When using your own voice, or a voice you have permission to use, what makes you stop and re-record instead? Is it pronunciation of names, flat delivery, awkward pauses, or the voice changing across longer passages?

For a tutorial, product demo, or translated video, which one would you fix first? A language and a short description of the issue would be helpful; no need to upload anyone's voice recording.

What would a usable result sound like for your next project?

I'm on the FreeVoiceClone team. We're gathering input on how to improve our voice library, especially which combinations of language, accent and delivery would be useful in real projects.

For your next tutorial, product demo, story or translated video, what kind of voice would you choose? For example: warm and conversational, calm and clear, energetic, or expressive storytelling. Do pitch, speaking pace or a particular accent matter more than those labels?

Please share the language or regional accent, the style you prefer, and what you'd use it for. For example: "Brazilian Portuguese + warm, conversational delivery + a product walkthrough." That's just an example, not a preset we're promising.

We'd rather understand one specific gap than add lots of similar voices. Which combination should we prioritize, and what do existing voice libraries tend to miss? Please describe vocal qualities rather than requesting an imitation of a specific person.