voxbento

Voxbento

Voxbento is a real-time interpretation platform for live events. It provides a browser-first, zero-install experience for simultaneous interpreters, allowing them to monitor the main floor video via Jitsi and broadcast translated audio to attendees with low latency.

Official Documentation: docs.voxbento.com

Interpreters stream live audio via WebRTC/WHIP → MediaMTX → WHEP (WebRTC playback). Booth coordination (who is active, relay handoff, chat) runs over WebSocket.

Rooms can optionally add a listener-side audio synchronization delay for WHEP playback. The default is 0 ms, which keeps the existing low-latency HTML audio path unchanged. Organizers can set values such as 1000, 2000, 5000, or 8000 ms when a room's livestream video, captions, embedded player, or other external media is delayed and translated audio needs to line up with it. The delay is applied in the listener browser only; MediaMTX, WHIP, WHEP, and RTP packets are not changed.

How it works

…

Setup

Prerequisites

Option 1 — Docker Compose (everything in containers)

All services (portal, MediaMTX, Jitsi) start with one command:

…

Open http://localhost:8000 — all services are running.

For detailed API documentation, environment variables, and configuration, visit docs.voxbento.com. Native development setup details can also be found in CONTRIBUTING.md.

Upgrade Notes

API Key Encryption & Rotation

A mandatory environment variable API_KEY_ENCRYPTION_KEY securely encrypts third-party API keys in the database.

• You must generate a secure key (e.g., using openssl rand -hex 32) and add it to your .env file before starting the application.
• Rotation: To rotate keys without breaking existing database entries, provide a comma-separated list of keys. Voxbento will encrypt new tokens using the first key, but will use all keys to attempt decryption.

Optional NVIDIA Transcription

NVIDIA Riva support is now an optional dependency to reduce the default installation footprint. If you intend to run NVIDIA transcription models, you must explicitly install the optional package:

uv pip install -e .[nvidia]