NewSpark

Features / AI Media Enrichment

Every asset tagged, the moment it lands.

Media only gets reused if someone can find it later. NewSpark auto-tags photos and video on upload — objects, scenes, and context — so your library is searchable from day one instead of becoming another folder no one opens.

Real tags, generated automatically

Every upload is run through automated recognition the moment it arrives — people, objects, and scene context all become searchable metadata without anyone typing a single tag by hand.

NewSpark Media Library grid showing uploaded video and photo assets with automatically generated tags like person, football, sports_venue, and clothing

Build a reusable library, not a content graveyard

🏷️ Automated tagging

Objects, people, and scene detection applied to every photo and video on upload — no manual tagging queue to fall behind on.

🔎 Actually searchable

Filter and search your library by the tags generated automatically, instead of relying on filenames or whoever remembers where something is.

🌐 Translation & language tools

AI translation support for captions and metadata, so content built for one market can be adapted for another without starting over.

📋 Standardized fields

Custom metadata schemas keep every asset — regardless of who uploaded it — described the same consistent way.

Sitting on a media archive nobody can search?

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