Protoface vs. Tavus
Protoface is 30x cheaper with flexible integrations, while Tavus provides a full prebuilt agent.
Two strong options for real-time AI avatars
AI avatars are becoming a more natural way for people to interact with software, especially as conversational agents move into support, education, sales, coaching, and consumer apps. Protoface and Tavus are both strong products in this space, and each gives teams a credible way to build more human, responsive, face-to-face AI experiences.
Quality and setup
Protoface is designed for teams that want realistic avatars without a heavy creation process. Teams can create custom avatars from images, launch quickly, and iterate across many characters while keeping setup lightweight. That makes Protoface a strong fit for products that need high-quality avatars in real workflows, not just a small number of polished demos.
Tavus also offers high-fidelity real-time video agents, with tools for creating replicas from a short video or image. That approach can work well for teams building around a smaller set of digital humans, especially when they want a broader conversational video pipeline with perception, turn-taking, and rendering bundled together.
Pricing and avatar scale
Protoface can be as low as $0.01 per minute, which makes real-time avatars practical for high-volume production use. It also supports far more custom avatar flexibility on higher plans, including 1,000+ avatar slots for teams that need many branded, personalized, or customer-facing characters.
Tavus's pricing is 20-40x more expensive, and Tavus includes a small number of custom avatar trainings per month before additional fees apply.
Protoface is better for most use cases
Protoface is the better fit for most teams because it combines strong avatar quality with fast setup, low latency, flexible custom avatars, production readiness, and far lower usage costs. It gives teams more room to experiment, personalize, and scale without making every new avatar or conversation expensive. Tavus remains a good option for teams that want an end-to-end video agent stack and are comfortable paying more for that broader packaged workflow.