Table of Contents
What Is SeedRealtime?
SeedRealtime is a native audio-visual full-duplex large language model built by ByteDance Seed and publicly released on August 5, 2026. Instead of chaining separate modules for speech recognition, visual understanding, language processing, and speech generation, SeedRealtime fuses audio, video, and text inside one unified architecture.
The model continuously processes audio, video, and text streams, so it can listen, watch, and respond at the same time. Perception, understanding, decision-making, and response generation all run in a single end-to-end model rather than a cascaded pipeline.
This design moves real-time AI beyond turn-based voice modes toward omni-modal natural interaction: continuous conversation over live audio and video, with timing awareness and visual context built in.
- Developer
- ByteDance Seed
- Model type
- Audio-visual full-duplex LLM
- Released
- August 5, 2026
- Availability
- Doubao App
SeedRealtime Key Features
What a native audio-visual full-duplex model can do that cascaded pipelines cannot
Native Audio-Visual Fusion
Audio and visual streams are understood jointly in one model. Visual context helps resolve homophones and speech ambiguity, and the model tracks how a scene changes over time.
Full-Duplex Real-Time Conversation
SeedRealtime listens and speaks simultaneously over continuous multimodal streams, with streaming generation and low-latency responses instead of rigid turn-taking.
Natural Conversational Timing
The model judges when to speak, detects pauses, distinguishes unfinished speech from a completed turn, and handles interruptions at natural moments.
Multi-Speaker & Noise Handling
SeedRealtime distinguishes different speakers in multi-speaker scenes, filters background and bystander chatter, and avoids false triggers from unrelated conversations.
Visual Scene Understanding
Persistent environmental awareness: object recognition, scene change detection, gesture following, and linking what is in view right now to earlier conversation.
Proactive Interaction & Tool Calling
The model can speak up on its own when a scene changes or a target appears, and can invoke tools during responses for reading, navigation, and device-operation assistance.
How SeedRealtime Works
One end-to-end model instead of a listen, transcribe, think, then speak pipeline
Unified End-to-End Architecture
Perception, understanding, decision-making, and expression run in parallel inside a single model. With no module handoffs, SeedRealtime avoids the context loss and error accumulation of cascaded systems.
Continuous Audio-Visual Stream Processing
Chunked audio-visual input lets SeedRealtime consume live audio and video as continuous streams while tracking conversational state and timing in real time.
Low-Latency Streaming Generation
Streaming generation combined with quantization and inference optimization keeps responses fast enough for natural, low-latency full-duplex conversation.
SeedRealtime vs Cascaded Multimodal Models
Why a unified full-duplex model responds faster and more naturally than a multi-stage pipeline
Why Cascaded Pipelines Fall Short
- Separate speech recognition, vision-language, and text-to-speech modules chained together
- Latency accumulates at every module handoff
- Context and information are lost between stages
- Turn-taking depends on external voice activity detection rules
What a Unified Full-Duplex Model Changes
- Native audio-video integration with parallel multimodal processing
- Lower conversational latency with streaming generation
- More natural interruption handling and response timing
- Better speaker tracking, scene tracking, and proactive responses
| Dimension | Cascaded Pipeline | SeedRealtime |
|---|---|---|
| Architecture | Separate speech recognition, vision-language, and text-to-speech modules | Single unified end-to-end model |
| Audio-video understanding | Processed in separate stages; context is lost at each handoff | Jointly understood over continuous multimodal streams |
| Latency | Latency accumulates at every module handoff | Low-latency streaming generation |
| Turn-taking | External voice activity detection rules | Built-in timing awareness and interruption handling |
| Proactive interaction | Responds only when explicitly triggered | Speaks up when scenes change or targets appear |
ByteDance reports that audio-video conversational timing issues drop by about half compared with cascaded models.
SeedRealtime Use Cases
Where real-time watch-listen-speak interaction matters
Real-Time Voice Assistant
A proactive, scene-aware assistant that tracks multiple speakers — recognizing names, faces, and voices around a dinner table, or ignoring unrelated chatter in a busy airport.
Live Translation & Speech-to-Speech
Continuous speech-to-speech and real-time translation over live conversation, without waiting for turn-by-turn transcription.
Video Analysis & Scene Monitoring
Persistent environmental awareness for object identification and scene understanding — like alerting you when the museum exhibit you are looking for enters the frame.
Reading, Navigation & Device Assistance
Understanding documents, charts, and pointing gestures in view — finding a section in a paper, catching a mistake while you brew coffee, or guiding device operation step by step.
How to Use SeedRealtime
SeedRealtime has moved from research demo to consumer product
Step-by-Step: Real-Time Video Conversation in Doubao
- 1Download the Doubao App (iOS or Android), or open doubao.com in your browser.
- 2Start a real-time video call with the AI assistant from the conversation screen.
- 3Talk naturally — you can interrupt at any time, and the model keeps listening while it speaks.
- 4Point your camera at objects, documents, or scenes and refer to them directly, like "this" or "over there".
- 5Let it work proactively — when a target you asked about appears in view, the model can speak up on its own.
Try SeedRealtime in the Doubao App
SeedRealtime powers real-time voice and video conversation in the Doubao App. Start a live video call with the assistant to experience full-duplex watch-listen-speak interaction.
SeedRealtime API & Availability
ByteDance Seed has published an official model page and technical blog for SeedRealtime. A public API and open-source release have not been announced yet — check the official ByteDance Seed website for developer access updates.
SeedRealtime FAQ
Is SeedRealtime free to use?
SeedRealtime is available through the Doubao App, which is free to download. Feature tiers and usage limits are determined by Doubao — there is no separate paid SeedRealtime product.
Does SeedRealtime have an API?
ByteDance Seed has not announced a public SeedRealtime API. The model is currently accessible through the Doubao App; watch the official ByteDance Seed website for developer access updates.
Is SeedRealtime open source?
No open-source release has been announced. ByteDance Seed has published an official model page and blog post, but no model weights or GitHub repository so far.
What is the latency of SeedRealtime?
ByteDance has not published exact latency figures. SeedRealtime uses streaming generation, quantization, and inference optimization for low-latency serving, and reports about half the conversational timing issues of cascaded models.
How is SeedRealtime different from voice mode assistants?
Typical voice modes are cascaded: listen, transcribe, think, then speak, with vision handled separately. SeedRealtime is a single end-to-end model that processes audio and video together and can speak while it listens and watches.
When was SeedRealtime released?
ByteDance Seed publicly released SeedRealtime on August 5, 2026, alongside an official model page and a technical blog post.
SeedRealtime and the Future of Multimodal Interaction
SeedRealtime marks a shift from turn-based voice modes toward always-on, omni-modal natural interaction. By fusing perception, understanding, decision-making, and speech generation in one end-to-end architecture, it removes the latency accumulation and context loss that have limited cascaded assistants.
With availability in the Doubao App and an official model page from ByteDance Seed, SeedRealtime has already moved from research demo to consumer product. The open questions — a public API, benchmarks, and open-source plans — are worth watching on the official ByteDance Seed website.