StreamGuys Enters The AI Universe

StreamGuys officially enters the AI universe with the debut of new workflow integrations that simplify some of the most labor-intensive tasks associated with content production in live and on-demand streaming.

The company’s first AI service rollouts will address the manual tagging process for ad markers in podcasts and on-demand content, and expand StreamGuys’ live stream captioning services to reduce timelines for captioning on-demand media.

To be introduced at NAB Show 2025 (Booth 1743), StreamGuys’ first AI service removes the tedious responsibility of when, where and how to tag transition points in podcasts and on-demand audio streams where ads would appear. This is particularly useful for midrolls that appear through the course of stream and require carefully placed markers to insert and trigger ads specific times.

StreamGuys' application of AI for ad marker tagging is an extension of the company’s workflow conversion tools for metadata related to ad insertions. In 2023, StreamGuys unveiled new conversion toolsets to automatically turn SCTE-35 video ad insertion markers into ID3 metadata markers commonly used in audio-only insertion toolsets. While those toolsets automated the conversion of metadata ad markers for midrolls and other ad insertions between video and audio, tagging those markers remained a manual process.

The addition of AI eliminates the monotony of manually inserting markers at the precise second where each ad break should be triggered. The AI application is trained to recognise the natural point of transition between the end of the segment and an ad break. The application is especially valuable for StreamGuys customers that use its SGrecast service to convert live broadcasts into podcasts with the intention of monetising that content, allowing production staff to focus on what's important: creating content that is both compelling and monetizable.

"Our SGrecast customers can now very easily use our AI workflow integrations to automatically insert prerolls, midrolls and postrolls, and then redirect the content back into SGrecast for publishing," said Eduardo Martinez, Vice President of Technology, StreamGuys. "While applying AI for automated tagging is a time-saver for even a single podcast, the incremental savings of time, money and effort adds up for publishers with hundreds to thousands of podcasts in their libraries."

Martinez adds that the same AI technology can provide automatic summaries and transcriptions of podcasts that is helpful to production staff as ad markers are added. Furthermore, StreamGuys will demonstrate how the same AI application can support fast, accurate captions and translations for on-demand content, removing the need for content producers to manually work through large libraries of new and existing podcasts.

www.streamguys.com