Tavus

Personalized video APIs: clone a presenter once and generate thousands of unique talking-head videos — sales, onboarding and support that look like a human recorded each one.

Product preview

Overview

Tavus is not a toy talking-head generator. It is the API you call when a sales team wants a video that says the prospect's company name with the AE's face, a thousand times, without a thousand recordings. Replica creation is consent-heavy on purpose; the product dies if the faces are stolen.

HeyGen and Synthesia cover similar ground with more of a studio UI. Tavus leans API and conversational agents — a replica that can sit in a real-time session, not only render an MP4. Quality still fails on wild head motion and some languages. For pipeline personalization, it is one of the few that looks like infrastructure.

Pros / Cons

Pros

API-first personalization at volume
Consent-shaped replica creation
Conversational replicas, not only MP4 renders
Looks like infrastructure to a sales stack

Cons

Paid, and volume is the bill
Wild motion and some languages still break
Requires a real recording and real consent

Who it's for

Personalized outbound video at sales volume

Onboarding videos with the user's name

Support explainers from a replica, not a booth

Real-time conversational video agents

Bottom line

Personalized talking-head infrastructure — buy it for the API and the consent story, not a one-off clip.

Key Features

Digital replica from a short recording

Script-to-video at volume via API

Lip-synced personalization fields

Conversational video agents

Enterprise consent and brand controls

Compare Tavus with alternatives

Tavus vs Runway Tavus vs HeyGen Tavus vs Pika 4 products · Video Generation

Frequently asked questions

What is Tavus?

Tavus is a Video Generation tool developed by Tavus. The company was founded in 2020 and is headquartered in San Francisco, USA. Personalized video APIs: clone a presenter once and generate thousands of unique talking-head videos — sales, onboarding and support that look like a human recorded each one.