Localization & Augmentation your metadata, rewritten and adapted for every market

A single source description can be turned into whatever your platform actually needs:

• Expand: thin or missing descriptions are enriched into full, useful synopses
• Shorten: long text is condensed to fit a strap, a tile or a constrained UI, without losing the point
• Rewrite and paraphrase: clumsy or duplicated source text is rewritten into clean, consistent prose
• Generate: where structured data exists but no text does, descriptions are written from the data — sport announcements built from event details, for example
• Adapt: tone, references and phrasing are adjusted for the local market, not just translated literally

Descriptions are produced in multiple lengths from the same record, from a sub-55-character strap to a long-form summary, so you can fill every part of your interface from one source.

Augmentation is at its most valuable when the source gives you almost nothing. This is common in sport: broadcasters often supply only a fixture and a time for smaller local competitions and niche disciplines, leaving blank or bare listings exactly where a fan wants context.

Media Press runs a dedicated sports editorial team that writes full event descriptions and announcement texts where the source provided none, generating them from structured event data where it makes sense, so a minor league fixture or a niche-sport event arrives with a proper description rather than an empty slot. The same applies across content: where a broadcaster's feed is thin, editors build the record up rather than passing the gap on to you.

Translation is one part of augmentation, and it runs on the same editorial discipline. Metadata is delivered in 30+ languages, produced by local editorial teams working to a single shared style guide, so quality and tone stay consistent across every market rather than varying source by source.

Crucially, this is cultural adaptation, not word-for-word conversion. References, idioms and phrasing are adjusted so the text reads as if written for that audience. Names are handled correctly per language — including inflected forms and non-Latin scripts — and classifications and labels are rendered in each locale from shared codes, so no two markets contradict each other.

Augmentation combines AI text operations with human editorial review. AI handles the high-volume, repeatable work — summarising, translating, shortening and structuring text at scale — while editors review and adapt anything that carries nuance or cultural sensitivity.

Every text passes editorial review before delivery, and completeness is checked automatically: a required short description missing in a required language is caught before it reaches you. The point is not who or what produces the text, but that what you receive is accurate, complete and ready to display.