Avatar models + rendering

Real-time avatar

A real-time avatar is a photorealistic digital character that listens, thinks, and speaks back inside a live audio and video stream, typically with sub-second response latency, so it can hold a two-way conversation rather than play a pre-rendered clip.

How real-time avatars work

Real-time avatars run inside a WebRTC session; pre-rendered avatars produce a file rendered ahead of time. The difference determines whether the character can react to what the user actually says.

Speech-to-text in, an LLM or agent loop in the middle, text-to-speech plus face animation out. All three must close the loop in under a second to feel conversational.

A customer-support agent embedded on a checkout page that picks up the visitor's question, queries a knowledge base, and responds with lip-synced face and voice in under 200ms.

Above roughly 800ms the conversation feels broken. Below roughly 250ms it feels human. The real-time avatar category is defined by where a product sits on that line.

"Real-time avatar" is the umbrella for interactive avatars, conversational AI avatars, and video agents. It distinguishes the live-stream product family from studio-rendered video tools like Synthesia or Hour One.

Response time

User experience

Category

Typical product type

< 250 ms

Feels live and conversational

Real-time avatar

Anam CARA-4

250–800 ms

Responsive, but not instant

Near real-time avatar

Most avatar APIs

> 800 ms

Conversation starts to feel broken

Slow or scripted

Pre-rendered / scripted

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

What is the difference between a real-time avatar and a pre-rendered video avatar?

A real-time avatar responds live inside an audio and video stream, reacting to what the user says. A pre-rendered video avatar is a file generated ahead of time and cannot adapt in the moment.

What latency does a real-time avatar need to feel natural?

Aim for under 250ms for the exchange to feel human. Above roughly 800ms, the pause becomes noticeable enough that the conversation starts to feel broken.

Can I use a real-time avatar with my existing LLM or voice agent?

Yes. A real-time avatar can sit on top of an existing LLM, voice agent, or agent loop, then handle the live face, voice, lip sync, and video stream.

Which languages can a real-time avatar support?

Language coverage depends on the speech and avatar stack. Anam supports 70+ languages for real-time avatar sessions, with the same goal of keeping the response fast enough for conversation.

Last updated: 17th July 2026 · Reviewed quarterly.

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