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Video Free tier with credits; usage-based paid plans + enterprise (check site for current rates)

Tavus

Developer platform for real-time conversational video AI — build face-to-face video agents with digital human replicas and sub-second response latency.

Updated 2026-07-05

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Overview

Tavus is a developer-first platform for building real-time conversational video AI — agents that appear as a photorealistic digital human and hold a live, face-to-face video conversation with a user. Its flagship product, the Conversational Video Interface (CVI), stitches together speech recognition, an LLM, and Tavus's own rendering into a single pipeline that can respond in roughly a second, which is the threshold that makes a video call feel like talking to a person rather than waiting on a chatbot. You embed it via API or a drop-in component rather than assembling it from separate STT, LLM, and lip-sync vendors.

The system runs on a stack of purpose-built models: Phoenix renders the talking face with natural head movement and micro-expressions, Raven handles perception so the agent has some awareness of what the user is doing on camera, and Sparrow manages conversational turn-taking so the agent knows when to speak and when to listen — the part most AI video demos get wrong. Separately, Tavus offers digital replicas: you record a short clip of yourself and get a reusable AI likeness for either live conversation or scripted personalized video generation.

Tavus is aimed squarely at developers and product teams building live video experiences — AI interviewers, health and coaching intake, sales and onboarding agents, tutors, customer support. It's a different category from Synthesia or HeyGen, which excel at rendering polished scripted videos from text. Tavus's bet is on interactive, two-way conversation, and its API-and-models positioning makes it a building block inside a product rather than a studio you log into to export a finished video.

Key features

Conversational Video Interface

An end-to-end pipeline (perception, turn-taking, LLM, rendering) that powers live two-way video conversations with an AI agent, targeting sub-second response latency so exchanges feel natural.

Phoenix rendering model

Tavus's face-generation model produces a talking digital human with synchronized lip movement, natural head motion, and micro-expressions rather than a static avatar with a moving mouth.

Digital replicas

Record a short consented video clip to create a reusable AI likeness of a real person, usable for both live conversation and scripted personalized video generation via API.

Developer API and SDKs

CVI and replica generation are exposed through REST APIs and embeddable components, letting teams drop conversational video into an app instead of assembling separate STT, LLM, and lip-sync services.

Pricing

Free tier: Yes — a free plan with starter credits for conversational minutes and replica generation, enough to prototype the API before committing to usage-based billing.

Free $0

Starter credits for conversational minutes and replica generation, access to stock replicas, and API keys to prototype CVI.

Usage-based paid tiers Per-minute / per-credit (check website)

Higher conversational-minute limits, custom personal replicas, and additional concurrency for production apps. Exact rates vary — check the current pricing page.

Enterprise Custom

Volume pricing, higher concurrency, SLAs, and compliance/security options for large deployments.

Pros & cons

Pros

  • Purpose-built for real-time two-way conversation, not just scripted playback — sub-second latency is the differentiator
  • Separate perception (Raven) and turn-taking (Sparrow) models address the interruption/timing problems most AI video demos ignore
  • Developer-first: clean API and embeddable components rather than a manual export studio
  • Digital replicas cover both live conversation and scripted personalized video from one likeness
  • Generous free tier with starter credits lowers the barrier to prototyping

Cons

  • ×Conversational-minute usage billing can get expensive at scale compared to rendering a video once
  • ×Requires engineering work to integrate — not a log-in-and-export tool for non-technical marketers
  • ×Photorealistic replicas of real people raise consent and deepfake-misuse concerns that need policy guardrails
  • ×For polished scripted marketing videos, studio-first tools like Synthesia or HeyGen are a simpler fit

How it compares

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Related reading

Ready to try Tavus?

Head to the official site to start with Tavus — pricing and plans are listed above.

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