Start with one microphone on one computer. Choose a setup, get your first captions working, then add an editor, audience displays or more streams.

New users

Visual introduction: workflow diagrams, the actual capture screen, hosting choices and what you will need.
Install and get your first captions: Windows, Linux and Docker commands; connect, choose a microphone, capture, save and stop.
Troubleshooting: connection errors, microphone permission, missing captions and growing delays.

Choose your setup

Hardware and quality profiles: CPU, NVIDIA, private VPS, model accuracy and measured concurrent-stream limits.
Windows and NVIDIA setup: tested requirements, exact commands and GPU verification.
Installation and deployment reference: native Python, Docker, model downloads and remote access.

Connect an editor or audience

Caption.ninja integration: the separate capture page, public/private sharing, direct overlays and hosted-page permissions.
Run your own caption relay: Windows/Linux setup, room tokens, editor/viewer connections, OBS links and TLS.
First-event checklist: rehearse microphones, caption review, audience display, failures and shutdown together.

Operate or integrate

Operations: supervision, logs, offline operation, upgrades and recovery.
API reference: native live-audio requests and the supported OpenAI-style WAV subset.
Security: trusted-producer access, tokens and reporting issues.
Optional AI setup assistance: a setup prompt and deployment skill.
Contributing: development and regression checks.

Read the measurements

Speech recognition and caption delivery have different limits. A relay benchmark does not establish how many microphones your inference computer can transcribe.

Project overview and downloads