Digital humans are new enough that most people encountering one for the first time have the same handful of questions. Here are straightforward answers.
A digital human is an animated, AI-driven avatar that can see, hear (or read), and respond in real time using voice and visual expression - essentially a face and voice put in front of a conversational AI model.
Not quite. A chatbot is typically text-only. A digital human uses the same kind of underlying AI but adds a visual, animated presence - facial expressions, gestures, and usually a spoken voice - on top of it.
They're powered by large language models, which generate responses based on patterns in language rather than genuine understanding in the human sense. In practice, modern LLMs are good enough at this that the distinction rarely matters for everyday conversations - but it's worth knowing when you're deciding what tasks to trust the avatar with.
Yes - this is one of the more practical advantages over hiring or training staff for every language you need to support. A well-built avatar platform, including Trulience, supports multilingual conversations out of the box.
No. Platforms like Trulience are designed to plug into whichever LLM you already use or prefer, so the avatar is a layer on top of your existing AI setup rather than a replacement for it.
Common use cases include customer support, healthcare guidance, education and training, retail and brand ambassadors, and internal tools like onboarding or IT helpdesks. Anywhere a business currently uses text chat or a phone line for routine interactions is a reasonable candidate.
With a purpose-built tool like the interactive avatar creator, a basic avatar can be created and previewed in minutes. Refining tone, appearance, and behaviour for a production use case takes longer, but the barrier to trying one is low.
Pricing depends on usage and which mode you run (Simple, Composite, or Speech-to-Speech), with free tiers available for testing. See the pricing page for current details.
Yes - developers can use SSML to control delivery, appearance, and gestures, giving fine-grained control over how the avatar comes across rather than relying on a single fixed personality.