LansonAI Developer Platform

LansonAI is the Voice Context Layer for live speech.

It turns continuously changing speech into context that applications can read, display, translate, and act on while the conversation is still happening.

Traditional speech recognition systems are primarily designed to answer:

What words were spoken?

Live applications have a harder problem:

What can I safely show, understand, translate, or act on right now?

LansonAI is built around that second problem.

What you can build

Use LansonAI to build experiences such as:

• live captions
• real-time multilingual experiences
• voice interfaces
• accessibility tools
• live media experiences
• conversational applications
• systems that need structured context from ongoing speech

Built for live speech

Live speech is not a sequence of finished sentences.

Recognition results evolve as more audio arrives. Words may be revised, sentence boundaries may move, and meaning may become clearer several seconds after the first tokens appear.

LansonAI handles this changing state between raw audio and the application consuming it.

Instead of treating every intermediate recognition result as equally reliable, the platform is designed around the lifecycle of spoken context.

Core concepts

Before integrating the API, we recommend understanding three concepts:

Voice Context Layer The processing layer between raw speech recognition and the application consuming live speech.

StableStream LansonAI's approach to producing continuously readable text while underlying recognition and context continue to evolve.

Trinity Engine The shared processing foundation behind LansonAI's real-time voice capabilities.

→ Start with Voice Context Layer