AI-powered transcription for video and audio assets

Users want video and audio files to be automatically transcribed after upload, with an interactive transcript that is searchable, speaker-attributed, and connected to the system-wide full-text search. Problem / Pain: The spoken content of video and audio files is currently invisible to the system. Users cannot search for words spoken in a video, cannot quickly find a specific moment in a long recording, and have no way to identify who said what without watching or listening to the full file. This makes video and audio assets significantly harder to work with and find than text-based or image-based content. Impact / Benefit: Automatic AI transcription would make the spoken content of video and audio files fully accessible, searchable, navigable, and organized by speaker. Users could find relevant recordings through the system-wide search, jump directly to the moment they are looking for, and review transcripts without watching the entire file. This would significantly increase the value and usability of video and audio assets in the system. Example use case: A marketing manager is looking for a recording in which a colleague discussed a campaign for a specific city. Instead of watching several long recordings, they search for the city name in the system and are immediately directed to the relevant video and can click directly to the moment where it was mentioned in the transcript. Idea source: User Feedback Voting note: Vote for this idea if this need is relevant to you as well.