I’m building Luna, an AI assistant inside my TTS SaaS, V\*\*caly.

Right now, Luna is designed to solve 3 parts of the TTS workflow:

1. Analyze your script

Luna looks at the content, context, tone, language and use case.

2. Recommend the right voice

Instead of searching through 600+ voices yourself, Luna recommends the voices that are most likely to fit your script.

3. Add emotional direction

Luna can suggest inline emotion tags like:

\\\[excited\\\]We finally did it!\\\[/excited\\\]

\\\[whisper\\\]No one knows about that...\\\[/whisper\\\]

I’m also using a 60% confidence threshold.

If Luna is confident enough, it can add the emotion automatically.

If confidence is below 60%, Luna won't force an emotion. Instead, it points to that specific part of the script and suggests adding the emotion manually, Means no guesswork.

The idea is:

Your script → Luna understands it → recommends the voice → directs the emotion → expressive TTS

I’ve been focusing on these problems, but I’m sure there are plenty more.

If you use TTS, what’s the biggest problem you’re still dealing with?

I’m specifically looking for problems that existing TTS tools haven't solved well.

I’m building an AI TTS assistant that helps you find the voice AND direct how it should sound