AI VTuber studio
An AI VTuber studio should make the stream state obvious
Before a character goes live, teams should see the avatar source, voice route, conversation mode, scene overlay, memory status, and checkout state in one place.
Core workflow
A practical studio begins with character intake, selects a voice and language profile, chooses provider fallback, tests the first scene, and locks a launch checklist.
The public preview on this site models that path and routes serious actions to pricing before claiming that a production instance is ready.
Where teams get stuck
Local demos often work for one developer but break when a creator needs reliable streaming, moderation, multiple scenes, or repeatable setup across devices.
Hosted operations reduce that friction by separating public preview, paid setup, and production launch.
Product connection
Open LLM VTuber gives creator teams a managed workspace instead of a pile of local scripts, provider keys, and undocumented streaming steps.
Move from preview to hosted setup
Use the public workspace preview to shape the character plan, then choose a paid plan when you need the hosted workspace, setup review, longer voice tests, and launch support.
View pricing plans