01
Joint perception
Audio, visual, and temporal signals share one context. The model identifies interaction targets and intent while the scene is still moving — not after a separate ASR → LLM → TTS cascade.
SeedRealtime full-duplex AI
Watch it. Hear it.Speak with it — live.
SeedRealtime is a native audio-visual full-duplex LLM that jointly understands sound, vision, and time. It follows a continuous scene, tracks who is speaking, and responds without freezing the conversation into turn-taking chunks.
Ready when you are
Live sceneDevice preview
Signal
Visual context
Multimodal stream
How SeedRealtime keeps up
Full-duplex intelligence for a world that never freezes.
Instead of waiting for neatly packaged prompts, SeedRealtime stays on a continuous multimodal stream — overlapping speech, changing scenes, and the natural rhythm of real conversation.
02
Proactive moments
Hold a goal in mind, watch for change, and speak when it matters: an indicator flips, a device is used wrong, an exhibit needs attention — without waiting for another explicit prompt.
03
Natural timing
Pause through noise, handle interruptions, and avoid talking over people. End-to-end evaluations report roughly half the rhythm errors of traditional cascade full-duplex stacks.
Designed for real life
The scene never stops. Neither does understanding.
Point the camera at a workspace, product, document, or group. Keep talking naturally while SeedRealtime tracks faces, voices, gestures, and environmental change in one session.
CONTINUOUS SCENE
YOU“Tell me when the indicator turns green — and who just asked about it.”
SEEDIt just changed. Alex asked — you can continue now.
01Continuous video
02Streaming audio
03Unified context
04Timed response
Where SeedRealtime fits
Real sessions. Real jobs to be done.
SeedRealtime is built for moments where people talk while the world around them keeps moving—hands busy, scenes changing, more than one voice in the room.
01
Hands-on device help
Guide someone through a physical setup: “this button,” a cable, a status light. Speech stays natural while the session surface keeps presence on camera.
02
Multi-person rooms
Introductions, standups, dinner-table chatter. Seed Realtime AI is positioned for matching names, voices, and who said what when the conversation overlaps.
03
Museums & travel
Walk-and-talk companions for exhibits, menus, and street scenes—ask what you are looking at without stopping to type a prompt.
04
Language practice
Oral drills and tutoring loops that feel like a call: interrupt, rephrase, keep going—closer to live conversation than turn-based chat.
05
In-car copilots
Eyes-up assistance while driving: short spoken answers, low friction turns, and a session model that expects continuous audio.
06
Service & field work
Technicians and support agents who need to talk through a task while looking at equipment, paperwork, or a customer’s screen.
Category context
SeedRealtime and GPT-Live, side by side.
Industry coverage and ByteDance Seed’s launch narrative position SeedRealtime against OpenAI’s GPT-Live: both push full-duplex conversation, with different modality bets. Summary below is based on public product posts—not a lab benchmark.
| Dimension | SeedRealtime | GPT-Live |
|---|---|---|
| Builder | ByteDance Seed | OpenAI |
| Architecture focus | Native audio–video full-duplex LLM; perceive, decide, and speak in one loop | Full-duplex voice model; continuous listen/speak decisions many times per second |
| Primary modalities | Unified audio + video + text streams (“watch, listen, speak”) | Spoken full-duplex first; ChatGPT launch without voice+video / screen share |
| Interaction model | Joint A/V context for intent, deictic “this”, noise-robust timing | Backchannels, barge-in, pause while user thinks; tool invoke while talking |
| Live vision / screen | Designed for continuous camera understanding with speech | Not part of GPT-Live ChatGPT launch; video capabilities described as coming later |
| Deep reasoning pattern | End-to-end multimodal stream; perception and expression in one model path | Conversation tempo on Live; heavier work can delegate (e.g. GPT-5.5 pattern) |
| Multi-speaker scenes | Launch demos emphasize multi-person rooms (names ↔ faces ↔ speech) | Optimized for natural two-way conversation rhythm |
| Public access (at launch coverage) | Rolled out in Doubao (video call entry) per Chinese launch coverage | ChatGPT Voice (Go / Plus / Pro tiers reported at launch) |
Sources: ByteDance Seed / Doubao launch coverage (audio-visual full-duplex, multi-person demos); OpenAI “Introducing GPT-Live” (full-duplex voice, continuous decisions, launch without voice+video in ChatGPT). Product surfaces evolve—verify on official pages before procurement.
FAQ
Answers before you integrate.
Straight answers about SeedRealtime, Seed Realtime AI sessions, and what the API actually does today.
SeedRealtime is a product surface and API path for Seed Realtime AI voice sessions: speech in, server-side generation, spoken reply out. It is built so teams can ship a real-time voice experience without assembling capture, auth, and model calls from scratch.
SEEDREALTIME / 2026
Let your product watch, listen, and speak.
Start with the live interface pattern today. Connect production credentials when SeedRealtime access is approved for your stack.