What is an interactive avatar?
An interactive avatar is a real-time digital human interface. It listens to a user, passes the input through an AI stack, and responds with synchronized speech and facial motion. Unlike a pre-rendered avatar video, it is not just playing a fixed clip.
The typical stack has four layers:
- ASR turns user speech into text.
- An LLM or RAG system decides what to say.
- TTS generates the response audio.
- The avatar layer drives and renders the digital human.
SpatialWalk works in the fourth layer. It does not provide ASR, LLM, or TTS.
How interactive avatars work
The biggest architecture choice is where rendering happens.
Traditional cloud-rendered avatar platforms render the avatar video in the cloud and stream it to the user. Reference materials use 1-2 MB/s as the video-stream benchmark and more than 3 seconds as the traditional cloud-rendering latency benchmark.
SpatialWalk uses lightweight cloud driving inference plus on-device rendering. The cloud side produces expression driving data; the SDK receives a 10-20 KB/s stream and renders the avatar on the user’s device. The client SDK handles rendering and audio alignment locally.
This gives SpatialWalk the following reference-backed specs:
- End-to-end latency: <1.5 seconds, depending on voice AI stack
- Additional avatar interaction latency: <300 ms
- Device coverage: 99% of mainstream Android, iOS, and Web devices
- Mid-range / lower-end hardware: stable 30-60 fps in reference materials
- Model size: approximately 5-10 MB
For a concrete SDK test plan, read Avatar SDK Demo.
What to look for
Latency
Ask whether the number is end-to-end or only a sub-module metric. SpatialWalk publishes <1.5 seconds end-to-end depending on the connected voice AI stack, and <300 ms additional avatar interaction latency.
Rendering architecture
Cloud video streaming and on-device rendering scale differently. If your deployment is high-concurrency, mobile, or bandwidth-sensitive, this difference matters.
Integration model
The avatar is the face of your AI stack, not the brain. A production SDK should let you keep control of ASR, LLM, and TTS.
Layer separation
Interactive avatars often need to sit over slides, dashboards, lesson content, or kiosk interfaces. SpatialWalk reference materials describe native 3D layer separation.
Cost at scale
SpatialWalk Scale is $0.007/min, or $0.42/hour. Reference materials cite a traditional cloud-rendered range of $0.1-$0.3/min and an industry average of about $0.15/min.
SpatialWalk
SpatialWalk is best for teams building production real-time avatar applications that need Web, iOS, and Android coverage; low bandwidth; and predictable cost at scale.
Known reference-backed use cases include:
- Language learning
- Interviewers and HR tech
- Companions and mental health
- In-vehicle and kiosk deployments
- AI hardware
Talk.AI is listed in reference materials as a known customer case for immersive 1v1 oral language training.
Further reading
Related cluster guides
Test an interactive avatar with SpatialWalk Try the playground , or ，或 Read the docs 。