Overview
Tavus is an AI research lab building human-like conversational video AI that can see, hear, and emotionally respond in real time. Its models power digital replicas and conversational video agents through developer APIs, consumer companions (PALs), and enterprise solutions.
Our take
Tavus builds conversational video agents — synthetic humans you can talk to in real time — which is technically the most demanding format in this directory. The developer free tier is a genuine way to evaluate it. Whether it is appropriate depends less on quality than on context: people respond very differently to a synthetic face once they realise what it is.
Worth it if
Product experiences where a face-to-face interaction is genuinely better than text or voice.
Look elsewhere if
Situations where users would feel deceived — undisclosed synthetic humans damage trust badly.
✨ Features
Phoenix-4
Real-time facial rendering with emotional intelligence and sub-500ms latency.
Raven-1
Multimodal perception model for object recognition and emotion detection.
Sparrow-1
Dialogue model capturing natural conversational timing and turn-taking.
Developer APIs
Building blocks for creating conversational video agents and replicas.
⚖️ Pros & Cons
Pros
Cons
💰 Pricing
Basic
$0 /mo
- 25 min Conversational Video Interface
- 5 min video generation
- 25 stock replicas
- 30+ languages
Starter
$59 /mo
- 100 min CVI plus pay-as-you-go
- 10 min video generation
- 3 custom replicas/month
- Up to 3 concurrent streams
Growth
$397 /mo
- 1,250 min CVI plus pay-as-you-go
- 100 min video generation
- 7 custom replicas/month
- 100+ stock replicas
- Up to 10 concurrent streams
- Conversation recordings
Enterprise
Custom
- Contact sales for volume discounts
- Unlimited custom replicas
- 100% white-labeled
- Custom concurrency and guaranteed SLAs
- Enterprise security and compliance
Categories
❓ Frequently Asked Questions
How do people react to a synthetic conversational face?
Positively when told up front, and badly when they work it out themselves. The uncanny quality of a nearly-human face makes the deception feel deliberate even where none was intended. Disclosure at the start consistently produces better outcomes than letting the realisation arrive mid-conversation.
What does real-time video conversation cost?
Conversation minutes are the unit, and they accumulate quickly — this is among the most expensive formats to run at scale. Model the cost per completed interaction rather than per minute, and compare it against what the same outcome costs by text. Video needs to be meaningfully better to justify the difference.