What the event is about, as short or long as you like.
A conference on DNA sequencing and its uses in medicine.
An AI safeguard that proofreads every caption line in real time, using the AI Context you give it about your event — so names, brands, and jargon come out right before the audience sees them.
It works with human captioners and ASR alike.
To be or not tobe, that is the congestion.
Tell the AI Context Builder about your event: chat with it, paste a script, add a link, or upload documents. Update it at any time; the proofreader uses the change from the very next line.
An LLM checks each caption line from your captioner or ASR engine against that context, typically in about half a second.
With “Required for distribution” on, captions reach your audience only once they are proofread. We recommend it for every event, and it matters most for livestreams and translations, where text can't be corrected once it's sent.
AI works best with the same preparation a human captioner would get. A single line naming the subject already helps; scripts, slide decks, agendas, and speaker lists help more. The AI Context Builder reads what you give it and keeps three things:
What the event is about, as short or long as you like.
A conference on DNA sequencing and its uses in medicine.
Speakers, companies, products, and places that must be spelled right.
Dr. Sara Enstein · Dr. Cisco Frank
Jargon and terminology specific to the subject.
nanopore · error-corrected assembly
The same context also gives ASR engines a dictionary of the words to expect.
It works best where the language is specialised or where names and brands must be spelled exactly right.
The AI Proofreader guards against goofs — accurate and efficient — polishing every line of text so your audience only laughs at captions that are meant to have a punchline.