HeyGen
HeyGen

HeyGen Avatar V

High-fidelity avatar video generation with stronger identity consistency and lip sync

Text to Video
Example 1
Example 2

HeyGen Avatar V Overview

HeyGen Avatar V is an avatar video generation model for talking digital twins and other eligible registered avatar looks. It improves identity preservation, lip sync accuracy, facial expressiveness, and motion coherence across angle changes, scene changes, and long-form videos, making it well suited to presenter, training, and localization workflows where avatar stability matters.

From $0.1000/ video
1s$0.1

Commercial use

How to Use HeyGen Avatar V

Overview

HeyGen Avatar V is a high-fidelity avatar rendering model for creating talking videos from an eligible HeyGen avatar look and a script.

It is designed for digital twin style workflows where identity consistency, believable lip sync, and stable long-form performance matter more than simple talking-photo animation.

Strengths

Strong Identity Consistency

Avatar V is built to preserve a coherent identity across different shots, backgrounds, and video lengths. It is a better fit for repeated presenter workflows where the avatar needs to stay recognizably consistent from one output to the next.

More Natural Lip Sync

The model is designed around tighter audio-visual alignment, with more accurate mouth shapes and better timing during speech. This makes it useful for narration-heavy content, multilingual delivery, and presenter videos where facial timing is easy to notice.

Better Motion and Expression Quality

Avatar V improves facial detail, micro-expressions, and upper-body motion so the result feels less like a static talking head and more like a coherent performance.

Stronger Multi-Angle and Cross-Scene Stability

The model holds up better across wide, medium, and close framing, and it is better suited to scene changes without the identity drift that often appears in weaker avatar systems.

Long-Form Delivery

Avatar V is positioned for longer videos where consistency needs to persist over extended runtime rather than only short clips.

Capabilities

Script-to-Avatar Video

Avatar V generates talking avatar video from a script using an eligible registered avatar look.

Registered Look Rendering

The model works with supported HeyGen avatar looks such as eligible digital twins, studio avatars, photo avatars, and prompt-created avatars.

Multilingual Speaking Video

The model is designed for speech-driven video generation across a wide language set while keeping lip sync closely aligned to spoken delivery.

Input and Output

  • AIR ID: heygen:avatar@5
  • Input: an eligible registered avatar look, plus script and voice selection
  • Output: talking avatar video
  • Look support: studio avatars, digital twins, photo avatars, and prompt-created avatars when the look is eligible for Avatar V
  • Note: Avatar V does not support arbitrary image animation in the same way as Avatar IV

Best Fit

  • Digital twin presenter videos
  • Training and onboarding content
  • Sales and outreach videos
  • Localized spokesperson content
  • Long-form avatar-led education and explainer videos

More models from HeyGen

HeyGen Video Agent is an AI video production model that generates complete, multi-scene videos from a single text prompt. It automates the full production pipeline — scriptwriting, avatar selection, shot planning, B-roll integration, motion graphics, captions, and editing — producing broadcast-ready videos with consistent branding. The agent supports customizable avatars, voice cloning, and iterative editing without full regeneration, enabling scalable video content creation for marketing, training, and social media.

HeyGen Avatar IV is a photorealistic AI avatar generation model that creates talking videos from a single image and a script or audio input. The model synchronizes voice with facial motion, expressions, and gestures to produce lifelike avatar performances. It supports multilingual speech, realistic lip synchronization, and expressive body language, enabling scalable production of presenter-style videos without cameras, actors, or studio setups.