YouTube added a tool that enables creators to generate instrumental tracks to replace copyright-protected audio in their videos, while also testing a new bulk moderation option for comments to make it easier for channel managers to manage video replies based on broader conversational context.
The music generation feature being tested with United States desktop users of YouTube Studio will allow creators to generate royalty-free music as alternative backing tracks, with expansion planned for later in 2026.
The Replace Song tool in YouTube Studio on desktop will now include a new Create button that when clicked prompts YouTube to generate four royalty-free instrumental tracks that creators can use to replace copyrighted audio in their videos and release Content ID claims.
Rather than having to grapple with copyright concerns and potentially remove videos that are in violation, YouTube will now give creators the option to generate alternative non-violating backing tracks for their clips, which could be a welcome addition for YouTube creators given copystrikes often become a major headache particularly as relates to monetization of content.
YouTube is also testing a new bulk moderation option for video comments which will make it easier for channel managers to find and respond to comments based on conversational context as opposed to simple keyword filters. YouTube already enables channel managers to filter video comments by keyword, however this new option will expand that capacity to allow broader contextual understanding where creators can use their own words to find specific topics up to 100 characters such as questions about gear or people asking for a part 2 video.
Rather than being confined to specific keyword mentions, creators will be able to filter questions and comments based on what the viewer is asking about regardless of the exact phrasing used.
YouTube stated that creators will also be able to filter for themes such as Excitement and enthusiasm or Hurtful remarks, with the process also enabling channel managers to find similar comments based on an example reply.
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