01
Session surface, ready
Users start a live session with camera and mic in one click. Presence looks real; privacy stays simple because video preview is local-only and never attached to the generation request.
Real-time voice API · Seed Realtime AI
SeedRealtime:real-time voice for your product.
SeedRealtime is a real-time voice API surface for Seed Realtime AI. Capture speech in the browser, generate on the server, and return spoken replies—while camera preview stays on-device for presence, never as model input.
Ready when you are
Live sceneDevice preview
Signal
On-device camera
Transcript → API
What you get
A complete turn path from speech to spoken answer.
Most teams do not need a full media mesh on day one. SeedRealtime packages the practical Seed Realtime path: browser capture, protected server generate, and playback—so you can validate UX and API contracts before investing in heavier realtime infrastructure.
02
Speech in, structured out
Talk turns become text via browser recognition, then hit your server route as a clean payload. Seed Realtime AI generation stays behind the API key—never in the browser.
03
Answers that speak back
Model text is read aloud with device TTS so the loop feels like a call. Same transcript path can later power streaming audio or a custom voice pipeline without redesigning the UI.
Request path
Presence on the client. Generation on the server.
Each turn is intentional: listen, transcribe, generate, speak. That bounded loop is easier to rate-limit, debug, and price than an always-on media stream—while still delivering a Seed Realtime product experience users understand.
CONTINUOUS SCENE
YOU“Summarize three talking points for a five-minute customer update.”
SEEDLead with outcome, name the risk, close with the next decision needed.
01Local camera
02Speech → text
03Server generate
04Spoken reply
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
SeedRealtime 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
Start a SeedRealtime session.
Open the live surface, complete a voice turn, then reuse the same API path in your product.