Take all your existing live HLS channels and easily add SyncWords with its live AI captioning, subtitling and voice dubbing. Programmatically kick off live streaming with SyncWords using our robust API.
Adding SyncWords to your AWS Elemental workflow means: simple, scalable and instant delivery of accurate and well-synchronized live captions, subtitles, and AI voice translations.
Leverage your AWS Elemental workflow and provide users with an elevated viewing experience on desktop or mobile devices.
Enable automatic live captions, subtitles and voice translations directly inside an HLS video player to enhance inclusivity of your live programming and events. Use one or all three outputs depending on your needs.
Make any live stream or event accessible and inclusive with automatic live captions, subtitles, and voice translations using your existing HLS (HTTP Live Streaming) workflow. Effortlessly customize or integrate an end-to-end streaming solution to cover all live programming needs.
Not using an HLS workflow? SyncWords has you covered. Make live programming accessible and inclusive to a broader audience using SRT, or RTMP(S) live streams.
Easily embed 608 captions in live video content being streamed to YouTube, Vimeo, Facebook, and other video sharing platforms. Choose between 7 supported languages and make your live streaming accessible for deaf and hard of hearing audiences. Streamline the captioning process using SyncWords' RESTful API.
Seamlessly embed 608 captions in live video content using Secure Reliable Transport to meet accessibility regulations. Perfect solution for virtual studios, remote live production, and software-based captioning. Unlimited concurrent channels. Automate the live captioning process with SyncWords’ robust API.
Seamlessly Integrate the World’s Best AI-powered Captioning & Translation Solution Directly into Your AWS Elemental Workflows
Everything you need in one place. SyncWords' robust API allows you to run new services, retrieve service details, make necessary updates, or monitor stream statuses in real-time:
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