Human Agents

Ojin launched its Real-Time GenAI Platform, enabling developers to deploy conversational AI agents with lifelike avatars in about two minutes via a single widget embed. The platform offers two face models, ojin/oris-presence and ojin/oris-portrait, with sub-200ms latency and up to 720p resolution, and includes a Python SDK and Pipecat integration. Ojin provides $10 free credits and competitive per-minute pricing, targeting use cases such as customer support, sales, education, and healthcare.

Welcome The Real-Time GenAI Platform.Instant AI experiences that feel life-like, natural, and human. Get started in 2 minutes The fastest way to deploy a conversational AI agent with a lifelike avatar: 1. Get your API key → Create one here /getting-started/authentication 2. Create an agent in the dashboard https://ojin.ai/dashboard — pick a face, voice, and personality 3. Embed on your site: <script src="https://widget.ojin.ai/ojin-agent.js" </script <ojin-agent agent-id="your-agent-id" </ojin-agent That's it. Your users get a live conversational agent with video, audio, and a real-time avatar. Full Human Agent docs → /apps/overview What Ojin offers Apps — deploy in minutes Human Agent A complete conversational AI agent with a realistic visual avatar. Speech in, speech out — with synchronized lip movements and expressions. Two modes: Ojin Agent — Ojin handles everything STT, LLM, TTS, avatar . You configure the personality. Third-Party Agent — bring your own speech-to-speech provider Hume, ElevenLabs, Ultravox, etc... . Ojin adds the face. Models — build custom pipelines Drive Ojin's real-time face models from your own stack. Both are powered by the same Python SDK /models/build-with-python-sdk and Pipecat /models/introduction/integrations integration — pick the model with its config id . ojin/oris-presence Our flagship face model — a fully expressive, generative presence with rich expressions and natural movement including the hands that goes beyond lip-sync. ojin/oris-portrait A cost-effective , real-time lipsync model. Transforms a single reference image into a natural animated persona with audio-synchronized lip movements and expressions. Sub-200ms latency, up to 720p. Core features Human Agent — end-to-end conversational AI with a lifelike visual avatar. One widget embed, no pipeline assembly. Real-time streaming — ultra-low-latency WebSocket and WebRTC transport for production-grade experiences. One-shot personas — create a lifelike persona from a single reference image. No training, ready immediately. Python SDK & Pipecat — drive the face models from, or drop ojin-client into a Pipecat pipeline. Raw WebSocket and REST when you need them. pipecat-ojin Auto-scale — our infrastructure takes care of the scale for you, your users will never see an unavailable service. Cost-effective — competitive per-minute pricing with no commitments. $10 free credits to start. Use cases Customer Support — deploy lifelike agents for personalized 24/7 support Sales — greet, qualify, and convert leads with conversational avatars Education — build interactive tutors with natural speech and expressions Onboarding & Training — conversational AI for employee learning Brand Ambassador — always-on, always-on-brand digital representative Healthcare — empathetic virtual health assistants LLM-Ready Docs This documentation is optimized for LLM access: MCP Server: docs.ojin.ai/~gitbook/mcp — structured index llms.txt — full content llms-full.txt Append .md to any page URL for raw markdown Note: llms.txt and llms-full.txt are auto-generated from the published sitemap. Human Agent pages will appear once they are published in the navigation. Last updated Was this helpful?