Live Portrait
Efficient and Controllable Video-Driven Portrait Animation

Transform static characters into interactive, AI-driven conversational avatars.
Oddcast, particularly through its flagship commercial platform SitePal, remains a foundational pillar in the conversational AI avatar space as of 2026. The technical architecture revolves around proprietary facial animation technology that synchronizes audio (TTS or uploaded files) with micro-expressions and high-fidelity lip-syncing. Unlike newer generative video tools that focus on high-resolution cinematic output, Oddcast is optimized for real-time, low-latency web interactions, utilizing WebGL and specialized SDKs to deliver interactive characters directly within browser environments. Their 2026 technical stack features deep integration with Large Language Models (LLMs), allowing characters to act as autonomous front-end interfaces for customer support and e-learning. The platform provides a hybrid rendering engine that supports both 2D photo-based animation and full 3D modeled avatars. By focusing on embeddable, event-driven character behavior—where avatars can react to mouse movements, window events, or specific user inputs—Oddcast maintains a significant lead in the interactive web-agent market, catering to developers who require programmatic control over digital persona behavior rather than just static video generation.
Proprietary algorithm that converts a single 2D portrait into a fully animatable 3D-effect head with depth and rotation.
Efficient and Controllable Video-Driven Portrait Animation
Turn 2D images and videos into immersive 3D spatial content with advanced depth-mapping AI.
High-Quality Video Generation via Cascaded Latent Diffusion Models
The ultimate AI creative lab for audio-reactive video generation and motion storytelling.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Native integration hooks for connecting avatars to GPT-4o, Claude 3.5, and other LLMs for real-time inference.
Programmatic tags that can change the character's facial expression mid-sentence (e.g., happy, sad, angry).
Allows developers to define X/Y coordinates on the avatar that trigger specific JavaScript callbacks.
Ability to stream audio via API and have the avatar lip-sync in real-time without pre-rendering.
On-the-fly translation of text inputs into over 40 target languages before being fed to the TTS engine.
Algorithm that calculates the vector from the character's eyes to the user's cursor position in real-time.
Providing a humanized face to automated banking inquiries while maintaining real-time responsiveness.
Registry Updated:2/7/2026
Students need to see correct lip movements to learn pronunciation.
Generic walkthroughs have high bounce rates.