01
SeedRealtime session surface
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.
WHAT YOU GET
How the model moves from speech to spoken answer.
ByteDance Seed’s original end-to-end speech model has now evolved into Seeduplex, a native full-duplex model that can listen while speaking. This independent demo shows a simpler browser-to-server product pattern; it is not the official model or API.
02
Speech in, structured out
Talk turns become text through browser recognition, then reach a server route as a clean payload. This illustrates a secure integration pattern without claiming access to ByteDance Seed’s official model API.
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
A practical Seed Realtime Voice integration path.
The reference flow is intentional: listen, transcribe, generate, speak. It is a product architecture pattern—not official model API documentation—and keeps browser capture separate from protected server-side model orchestration.
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
SEEDREALTIME QUICK FACTS
SeedRealtime facts for product teams.
Start with the verified model naming, current availability, conversation behavior, and the boundary between ByteDance Seed’s technology and this independent guide.
From Seed Realtime Voice to Seeduplex
ByteDance Seed introduced its end-to-end real-time speech technology as the Doubao Realtime Voice Model, commonly searched in English as Seed Realtime Voice. The official product page now says that model has been upgraded to Seeduplex, so both names describe the same evolving product line.
Full-duplex, not rigid turn-taking
Seeduplex is designed to keep listening while it speaks. That changes the product experience: a user can interrupt, hesitate, or continue a thought without waiting for a fixed input-output cycle. Adaptive endpoint detection and interference suppression help the model decide when to wait and which speech matters.
Doubao access is confirmed
ByteDance Seed says Seeduplex is fully available in the Doubao app. Its launch materials do not document a generally available public API, so product teams should verify current developer access, regional availability, pricing, and commercial terms with the official provider before planning a production integration.
An independent implementation guide
SeedRealtime explains the model category and a practical browser-to-server voice pattern; it does not host or impersonate the official model. The camera panel is a local interface preview, not a claimed Seeduplex input. Use the architecture, comparison, and FAQ to frame a technical evaluation.
WHERE SEED REALTIME VOICE FITS
Full-duplex voice use cases with a clear job to do.
Full-duplex speech is useful when conversation pace, interruptions, pauses, and background voices matter more than typing another prompt.
01
Hands-on device help
Guide someone through setup or troubleshooting while their hands stay free. The product pattern can keep a local camera preview for presence without sending video to the model.
02
Multi-person rooms
Meetings, homes, and shared spaces contain overlapping voices. Seeduplex is designed to distinguish intended speech from irrelevant conversations and ambient noise.
03
Museums & travel
Hands-free companions can answer spoken questions while people move through exhibits, stations, or unfamiliar places—without stopping to type.
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 benefits from quick replies and strong interference suppression when navigation, passengers, and road noise compete with the user’s voice.
06
Service & field work
Technicians and support agents can talk through a task while working with equipment or paperwork, with pauses and interruptions handled more naturally.
CATEGORY CONTEXT
Seed Realtime Voice and GPT-Live, side by side.
ByteDance Seed’s current Seeduplex model and OpenAI’s GPT-Live both use full-duplex speech, but their official launches emphasize different product decisions. This is a source-based product comparison, not a benchmark.
| DIMENSION | SEEDUPLEX | GPT-LIVE |
|---|---|---|
| Builder | ByteDance Seed | OpenAI |
| Architecture focus | Native full-duplex speech LLM; listens and speaks at the same time | Full-duplex voice model; continuous listen/speak decisions many times per second |
| Speech understanding | Joint speech-semantic modeling for acoustic context and user intent | Continuous audio processing with interaction decisions many times per second |
| Conversation timing | Adaptive endpoint detection; waits through hesitation and responds when intent is complete | Backchannels, barge-in, pauses while the user thinks, and tool invocation while talking |
| Visual input | Described as a future direction, not a current Seeduplex launch capability | Not part of GPT-Live ChatGPT launch; video capabilities described as coming later |
| Deeper work | Official launch focuses on speech, semantics, timing, and interference suppression | GPT-Live can delegate search and deeper reasoning to a frontier model |
| Noisy environments | Officially reports targeted interference suppression and fewer false responses or interruptions | Official launch highlights better focus on the user amid traffic or nearby conversations |
| Public access | Fully rolled out in the Doubao App; public API availability is not stated on the official launch page | Available in ChatGPT Voice; API access was described as coming after launch |
Sources: ByteDance Seed’s Realtime Voice page and Seeduplex launch post; OpenAI’s Introducing GPT-Live. Product availability can change, so verify the official pages before procurement. Official Seed Realtime Voice page · Official Seeduplex update · Official GPT-Live announcement
FAQ
SeedRealtime FAQ for Seed Realtime Voice.
Direct answers about the model name, Seeduplex upgrade, product use cases, and what this independent SeedRealtime site demonstrates.
Seed Realtime Voice is the common English name for ByteDance Seed’s end-to-end real-time speech model, introduced in Chinese as the Doubao Realtime Voice Model. ByteDance Seed now marks that model as upgraded to Seeduplex.
No. The camera is a local preview for presence only. Frames are not uploaded and are not included in the respond payload. Only the speech transcript (and locale) is sent for generation.
It shows a reference product loop: capture speech in the browser, transcribe it, send structured text to a protected server-side generation layer, and play the reply with device speech. It is an integration pattern, not official ByteDance API documentation.
Seeduplex replaces the earlier half-duplex model with a native full-duplex framework that listens while speaking. ByteDance Seed highlights adaptive endpoint detection, interruption handling, low latency, and interference suppression.
No. SeedRealtime is an independent educational and product-concept site. It is not operated by ByteDance, does not represent the official Seed team, and does not promise access to a public model API.
SEEDREALTIME / 2026
Explore a real-time voice session pattern.
Review the interface concept, trace the browser-to-server flow, and decide whether full-duplex voice fits your product.