Real-time AI captions for patient education streams, CME broadcasts, and medical webinars powered by Deepgram Nova-2 with support for 125+ languages.
Start Free TrialHealthcare organizations are streaming more than ever — patient education sessions, community health webinars, continuing medical education broadcasts, and public health announcements. Yet most of these streams go out without live captions, leaving deaf and hard-of-hearing viewers behind and failing multilingual communities who need content in their primary language.
Traditional captioning services cost hundreds of dollars per hour and require scheduling days in advance. For a hospital running a weekly patient education series or a medical school streaming CME content, that adds up fast. StreamTranslate delivers real-time AI captions through a simple OBS browser source overlay — no special equipment, no per-session fees beyond your monthly subscription.
Deepgram Nova-2, the engine behind StreamTranslate, handles medical terminology, drug names, and anatomical language with high accuracy — far better than general-purpose transcription tools that stumble on complex clinical vocabulary. Captions appear within 1–2 seconds of speech, keeping pace with live patient education and CME environments where real-time comprehension matters.
Stream diabetes management classes, prenatal education, post-surgical recovery guidance, and chronic disease support sessions with live captions and multilingual translation so every patient can follow along.
Accredited CME providers streaming online education must meet accessibility standards. StreamTranslate adds real-time captions to your OBS-based CME streams in minutes with no disruption to your existing workflow.
County and state health departments broadcasting vaccination updates and community wellness programs reach broader audiences with live multilingual captions for immigrant and non-English communities.
StreamTranslate supports 125+ languages simultaneously. A single broadcast can serve Spanish, Mandarin, Vietnamese, Haitian Creole, and Arabic-speaking patients at the same time in their chosen language.
Log in at streamtranslate.live, connect your audio source, and copy the OBS browser source URL into your streaming scene. StreamTranslate captures your audio, runs it through Deepgram Nova-2 for transcription, translates it in real time into your viewers' selected languages, and displays synchronized captions in your video output. No dedicated hardware, no caption encoder, no CART captioner to schedule.
Visit /setup for step-by-step instructions or /pricing to see plans that fit everything from a small clinic to a hospital network.
StreamTranslate uses Deepgram Nova-2, which achieves industry-leading accuracy on specialized vocabulary including anatomical terms, drug names, and procedural language. Accuracy rates typically exceed 95% on medical content. A professional microphone and clean audio source maximize results.
StreamTranslate processes audio in real-time without storing patient-identifiable data beyond the session. For public patient education broadcasts this is typically sufficient. Organizations handling Protected Health Information in private streams should review their own compliance requirements and consult legal counsel.
Yes. StreamTranslate translates live captions into 125+ languages simultaneously. Spanish, Mandarin, Vietnamese, Haitian Creole, and Arabic-speaking patients can all select their preferred language and follow along in real-time during patient education broadcasts and community health events.
Many CME accreditation bodies require accessible formats for online education. Adding live captions to CME streams via StreamTranslate helps meet accessibility standards for deaf and hard-of-hearing medical professionals. The OBS browser source integrates into your existing setup in under 5 minutes.
StreamTranslate works via OBS browser source, integrating with any platform you stream through OBS including Zoom, Teams, YouTube Live, Twitch, and custom RTMP endpoints. For webinar platforms not using OBS, use OBS as a virtual camera layer to add the caption overlay to your video feed.