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NOVI, Mich. — ENCO has officially introduced Raptor, a cutting-edge cloud-based live streaming captioning encoder that harnesses the speed, power, and reliability of real-time AI capabilities within the streaming workflow. This innovative solution marks a significant advancement in the integration of software-defined infrastructure with automated captioning processes, allowing for embedded captions in an IP video stream, according to the company.

Unveiled at IBC2025, Raptor simplifies the embedding of CEA-608 closed captions into live program streams. It utilizes the AI-driven workflow from ENCO’s enCaption solutions to automatically generate highly accurate captions. Additionally, users have the option to incorporate external cloud captioning sources.

Raptor requires no hardware infrastructure, aligning perfectly with the trend of broadcasters transitioning their video workflows to the cloud. Quick to deploy, it presents a powerful new captioning solution for live events. “With no physical encoder to maintain, customers benefit from a cost-efficient and agile solution that is easy to configure and deploy,” stated ENCO president Ken Frommert. “Raptor signifies a new benchmark in flexible, cost-effective live and automated captioning, and we’re thrilled to showcase its capabilities to our customers and partners at IBC.”

Designed as a fully software-defined architecture, Raptor allows for customization at any point in the workflow to align with existing standards. Rather than relying on SDI signals through fixed cabling, it utilizes SRT, RTMP, or HLS video streams at the front end. This architecture can be hosted on various public or private clouds, enabling captions to be injected at nearly any stage, providing exceptional flexibility for deployment and operation.

As the stream is engaged and regenerated, captioning text is seamlessly inserted, making the outbound stream readily available to the customer. Raptor ensures the accuracy of the company’s enCaption universe and is compatible with enTranslate solutions, allowing for translations into dozens of languages. Users can also customize word libraries and utilize features such as corrective filters, speaker identification, and the ability to recognize music, laughter, applause, and crowd noise.

For more information, visit the company’s website.

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