Avatar models + rendering

Digital human

A digital human is a realistic virtual person designed to communicate with users through a face, voice, expressions, and conversational behaviour, often powered by AI models and live media streaming.

How digital humans work

A digital human is a virtual person designed to feel socially present. It usually combines a realistic face, voice, facial expression, speech timing, and conversational behaviour.

In an AI avatar product, the digital human is the visible and audible layer on top of a live agent system. Speech recognition, LLM reasoning, text-to-speech, lip sync, and rendering all work together to create the interaction.

A concrete example: a digital human on a healthcare onboarding page can answer setup questions with a natural voice and face, while still following strict rules about what it can and cannot say.

The term is broader than real-time avatar. Some digital humans are interactive and live; others are pre-rendered characters used in training, marketing, or scripted content.

What Anam ships

Anam's Cara-4 model delivers expressive real-time avatars with around 150 ms server-side avatar-generation latency once a session is running, across 70+ languages. Builders use JavaScript and Python SDKs or integrations for LiveKit, Pipecat, ElevenLabs Agents, Agora, and VideoSDK. Bring any AI stack including OpenAI, Claude, Gemini, Mistral, Groq, Deepgram, Cartesia, or custom providers. The platform supports WebRTC delivery, SOC 2 Type II, HIPAA, zero data retention, and regional data residency. Sessions stream low-latency audio and video to browsers and native apps.

Frequently asked questions

Is a digital human the same as a real-time avatar?

Not always. A real-time avatar is interactive inside a live session. A digital human can be live, but the term can also describe scripted or pre-rendered virtual people.

What makes a digital human feel realistic?

Realism comes from visual quality, voice quality, lip sync, facial expression, timing, turn-taking, and whether the character behaves consistently with its role.

Where are digital humans used?

They are used in customer service, onboarding, training, sales, healthcare, education, product guidance, and experiences where a conversational face can make software feel easier to use.

What does a digital human need behind the scenes?

It needs an avatar model, voice, speech recognition, text-to-speech, lip sync, conversational logic, streaming infrastructure, and guardrails that fit the use case.

Last updated: 17th July 2026 · Reviewed quarterly.

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