Customer-facing video agents
Embed a visual AI representative for support, onboarding, guided intake, or other structured conversations.
Independent tool overview
tavus at a glance
Tavus is a developer platform for real-time conversational video agents and asynchronous avatar videos. Its CVI stack combines a configurable persona, a visual replica, perception, turn-taking, speech, an LLM, and WebRTC delivery; a separate API turns scripts or audio into finished videos.
Visit the official tavus site ↗
- Product type
- Conversational video and avatar API
- Core CVI objects
- Persona, Replica, Conversation
- Video transport
- WebRTC powered by Daily
- Developer entry plan
- Free
- Paid developer plans
- $59 or $397 per month, plus eligible usage
- Last reviewed
- August 30, 2026
Overview
What tavus is
Tavus has moved beyond its earlier positioning around personalized video generation. Its central developer product is the Conversational Video Interface (CVI), an end-to-end pipeline for embedding a face-to-face AI agent in an application. A Persona controls behavior and pipeline settings, a Replica supplies the visual identity, and a Conversation connects the agent and participant in a real-time video session.
The same platform also offers non-interactive Video Generation for turning a script and replica into a finished video. That distinction matters when comparing costs and architecture: CVI is metered by live conversation time and concurrency, while generated video is an asynchronous output. Tavus is compelling for teams that specifically need a visual agent, but consent, disclosure, biometric-data handling, hallucination controls, accessibility, and safe escalation are core product requirements—not launch-day polish.
Use cases
Who tavus is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Training and role-play
Build repeatable practice sessions with a configurable persona, visual presence, and conversation logic.
Developer-owned agent experiences
Use APIs and configurable pipeline layers instead of adopting only a fixed no-code avatar workflow.
Personalized video generation
Create asynchronous videos from scripts or audio using a stock or properly consented custom replica.
Multimodal prototypes
Test whether visual perception, screen context, interruption handling, and a human-like face materially improve a specific workflow.
Capabilities
Core tavus features
Conversational Video Interface
Managed real-time pipeline combining perception, turn-taking, speech recognition, LLM reasoning, text-to-speech, replica rendering, and WebRTC.
Configurable Personas
Define behavior, tone, knowledge, context, and most CVI layer settings separately from the visual replica.
Stock and custom Replicas
Start from a stock avatar or train a custom visual and voice replica with the required consent workflow.
Visual perception
Raven can analyze visual context such as expressions, gaze, background, and shared-screen content for use by the conversation pipeline.
Turn-taking and interruption handling
Sparrow manages when the agent listens and responds to support more natural conversational flow.
Modular AI layers
Use Tavus defaults or configure supported speech, language-model, and voice components; Echo Mode can bypass parts of the managed pipeline.
Embeddable conversation UI
Use the default Daily room, build a custom interface, or start from Tavus's React CVI component blocks.
Session controls
Configure greetings, context, duration, timeouts, language, captions, audio-only mode, backgrounds, and supported recording flows.
Asynchronous video generation
A separate API generates a finished avatar video from a script or supplied audio without a live conversation.
Developer API
Create personas, replicas, conversations, and generated videos through the portal or HTTP APIs.
Process
How the tavus workflow works
Step 1
Choose live or asynchronous video
Decide whether the use case needs a real-time CVI conversation or a finished generated video; they have different architectures and billing.
Step 2
Design the safety boundary
Define disclosure, consent, data collection, prohibited tasks, escalation, recording, retention, and human-review rules before creating the persona.
Step 3
Create a persona and replica
Configure the agent's behavior and pipeline, then select a stock replica or train a custom replica with explicit informed consent.
Step 4
Build a narrow prototype
Create a conversation through the portal or API, embed the room or UI, and test with synthetic or low-risk data first.
Step 5
Evaluate real conversations
Measure latency, interruptions, transcription, visual interpretation, answer quality, refusal behavior, accessibility, cost, and human escalation.
Step 6
Productionize deliberately
Add authentication, API-key protection, monitoring, rate and duration controls, cost alerts, deletion workflows, incident handling, and conspicuous AI disclosure.
Cost
tavus pricing and free plan
Developer pricing includes a free Basic plan, $59/month Starter, $397/month Growth, and custom Enterprise. Live CVI minutes, generated-video minutes, replica training, concurrency, recordings, and overages vary by tier. Tavus also lists separate consumer PAL plans.
Basic
Free
For testing the developer APIs with a small included allowance.
- 25 CVI minutes
- 5 generated-video minutes
- 25 stock replicas
- 1 concurrent stream
Starter
$59/month
For individuals and teams that need custom replicas and pay-as-you-go capacity.
- 100 CVI minutes
- 10 generated-video minutes
- 3 custom replica trainings per month
- Up to 3 concurrent streams
- CVI overage listed at $0.37/minute
Growth
$397/month
For teams productionizing higher-volume conversational video.
- 1,250 CVI minutes
- 100 generated-video minutes
- 7 custom replica trainings per month
- 100+ stock replicas
- Conversation recordings
- Up to 10 concurrent streams
- CVI overage listed at $0.32/minute
Enterprise
Custom
For high-volume deployments requiring custom concurrency, support, SLAs, discounts, and white-label controls.
- Volume pricing
- Custom concurrency
- Enterprise support and SLAs
- White-labeled experience
Pricing checked . Check current pricing at the source ↗
Assessment
tavus strengths and limitations
Where it stands out
- Integrated real-time pipeline reduces the number of separate video-agent systems a team must assemble
- Persona, visual identity, and conversation sessions are modeled as separate reusable objects
- Supports both managed full-pipeline conversations and more modular integration patterns
- Free developer plan makes small technical evaluations possible
- Stock replicas allow testing before training a person's likeness
- Separate asynchronous video API covers scripted content as well as live agents
- Official documentation includes API references, quickstarts, UI components, and consent requirements
- Tavus publishes a current trust center and explicit acceptable-use rules
What to consider
- A photorealistic face can make users overestimate the agent's knowledge, empathy, identity, or authority.
- Tavus requires clear disclosure that end users are interacting with AI-generated content or an AI-powered agent.
- Custom replicas involve a person's face, voice, and potentially biometric data, requiring explicit informed consent and a revocation process.
- Consent to train a replica does not automatically authorize every later script, audience, channel, or sensitive use.
- The underlying LLM can still hallucinate, mishandle instructions, or give unsafe advice; video realism does not improve factual reliability.
- Visual-perception outputs can be incomplete or wrong and should not be treated as reliable emotion, intent, medical, identity, or suitability assessments.
- Hiring, healthcare, finance, education, and other high-impact uses require legal review, bias testing, qualified oversight, and human escalation.
- Conversation billing starts when a replica begins waiting in the room, includes a 30-second minimum, and consumes a concurrency slot until the session ends or times out.
- Usage costs can scale quickly with idle rooms, long calls, generated-video volume, extra replica training, and concurrent sessions.
- Real-time quality depends on bandwidth, device permissions, microphone conditions, WebRTC behavior, downstream AI providers, and configured timeouts.
- The documented default greeting cannot be interrupted in Daily-based CVI, and participant audio during it may still be captured in recordings.
- Stock-replica use is restricted: it cannot imply the real actor's endorsement, and certain sensitive contexts require additional permission.
- Recordings, transcripts, screen content, visual signals, and integration data create significant privacy, security, deletion, and retention obligations.
- Tavus's compliance claims do not make a customer's specific implementation automatically compliant; contracts, configuration, access controls, notices, and operational practices still matter.
- Generated video can contain visual, lip-sync, gesture, voice, pronunciation, or script errors and needs review before distribution.
Compare
tavus alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Marketing
LiveAvatar by HeyGen
A direct alternative for real-time interactive avatars and live visual agents.
Explore LiveAvatar by HeyGen →Marketing
D-ID
Offers talking avatars and agent experiences built from images, scripts, and conversational AI.
Explore D-ID →Marketing
Synthesia
Best known for polished asynchronous business videos, training content, and avatar-led presentations.
Explore Synthesia →Content Creator
Hedra
A creative character-video option when expressive generated content matters more than a managed real-time agent stack.
Explore Hedra →Questions
tavus FAQs
What is Tavus?
Tavus is an API platform for real-time conversational video agents and asynchronous AI avatar videos. Its CVI system combines a persona, visual replica, multimodal conversation pipeline, and WebRTC session.
What is the difference between Tavus CVI and Video Generation?
CVI is an interactive live session in which an agent sees, hears, and responds. Video Generation takes a script or audio plus a replica and produces a finished video without a live conversation.
How much does Tavus cost?
Developer plans reviewed in August 2026 are Basic for free, Starter at $59/month, Growth at $397/month, and custom Enterprise. Included minutes, overages, replicas, recordings, and concurrency vary, so model total usage rather than the subscription alone.
Can I create a replica of any person?
No. Tavus requires explicit informed consent from the depicted person, prohibits replicas of minors and non-consensual real people, and requires customers to keep use within the scope of consent and honor revocation.
Does Tavus require AI disclosure?
Yes. Its acceptable-use policy says customers must clearly and prominently disclose when end users are interacting with AI-generated content or an AI-powered agent rather than a real human.
Can Tavus use my own LLM or voice stack?
The CVI pipeline is configurable and supports selected external components and integration modes. Echo Mode and documented integrations can bypass or replace parts of the managed stack, but capabilities such as perception may no longer apply.
Is Tavus suitable for healthcare or hiring?
Tavus markets enterprise and regulated use cases, but a vendor certification is not enough. These deployments require a signed contract, verified configuration, legal and bias review, strict data governance, qualified human oversight, and safe escalation.
Does Tavus record conversations?
Recording is a supported configuration on eligible plans. A customer using it must provide appropriate notice and consent, secure storage, access and retention controls, and deletion procedures. Do not assume recording is harmless because the interface is AI-generated.
Bottom line
Our tavus verdict
Tavus is a strong candidate when a product genuinely benefits from a real-time visual agent and the team wants an API-first, mostly managed pipeline. Its advantage is integration across perception, conversational flow, speech, language, rendering, and WebRTC—not freedom from the hard parts. Run a bounded pilot, model minute and concurrency costs, disclose the AI clearly, and make consent, safety, accessibility, privacy, and human escalation part of the architecture.
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