We capture live audio and generate low-latency captions in real time using AI-driven speech recognition technology.
Caption output can be displayed on relay screens, confidence monitors, streaming overlays and audience-facing displays, with fully customisable layouts including font size, colour, positioning and fullscreen operation.
Designed specifically for live events, conferences and broadcast workflows, the platform supports browser-based operation and scalable event deployment.
Our platform was designed specifically for live events, streaming and broadcast environments – not meetings or offline transcription workflows.
The system focuses on low-latency live caption delivery, relay screen support, streaming overlays and production-friendly output control for real-world event operations.
Yes. The platform supports live relay screen and confidence monitor workflows, allowing captions to be displayed for presenters, audience accessibility or technical production environments.
The output can be customised with adjustable font size, colour, positioning and fullscreen display modes.
Yes. The platform is designed for live streaming, hybrid events and broadcast workflows.
Caption output can be integrated into streaming productions using browser-based outputs, HDMI workflows or NDI-based production environments.
Yes. The system operates through a browser-based control interface, reducing the need for complex local software installations and allowing rapid deployment for live events and temporary event environments.
Yes. The caption output is fully customisable for different production scenarios.
Operators can control:
Yes. The system is designed to support accessibility and inclusive event delivery by providing real-time live captions for audiences, relay screens and streaming outputs.
It is suitable for conferences, webinars, hybrid events and public-facing productions where accessibility support is required.
The platform is designed for:
Yes. The platform was built by live event professionals and designed around real production requirements including low-latency operation, scalable deployment, browser-based management and operator-controlled outputs.
Unlike generic AI transcription tools, the system focuses on practical live event integration and production usability.
