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World Cup Broadcast Intelligence

Your team cannot watch 104 matches.

TwelveLabs helps you find exactly what you're looking for in seconds. Use Pegasus to auto-segment every World Cup match into goals, fouls, shot boundaries, and broadcast structure, returned as JSON and ready for your tools.
 

Leading broadcasters are already live.

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Screenshot 2026-06-05 at 11.32.09 AM
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Problem

World Cup runs June 8 to July 19.  104 matches across time zones. Your team is staffed for the games that matter to your home audience, not all of them.

  • Manual event detection misses edge cases.

  • Highlight creation takes hours.

  • And the viral moment from a non-home game does not wait for your morning shift.

That is a 2022 play in a 2026 landscape.



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Solution

TwelveLabs Time-Based Metadata (TBM) reads every match the way a senior producer would — but at machine speed, at any hour, for every game simultaneously.

  • Shot boundaries. Game events.

  • Broadcast structure.

  • All returned as structured JSON you parse into your own tools.

You are not adopting a new UI. You are adding broadcast intelligence to the tools you already have.

How it works

Submit your video.

POST /analyze/tasks with pegasus1.5 and analysis_mode: time_based_metadata. Works with any football broadcast, asset ID or direct upload.



Pegasus segments the match.

Three parallel layers: shot boundaries (L0_shot_boundaries), game events (H16_soccer_events: goals, fouls, cards, VAR, penalties), and broadcast structure (H16_broadcast_structure: replays, halftime, interviews). Every segment timestamped.

Parse the JSON into your tools.

Pair with an LLM (Claude on Bedrock works) for event-chain queries: 'what happened before the penalty,' natural-language search across the full tournament archive.



Get started now. 

Download the World Cup Video Integration Guide and get set up today. 

Download the Integration Guide
16 hours to 9 minutes.

That is what MLSE, one of North America's largest sports organizations, achieved using TwelveLabs for video search and highlight retrieval. A 97% reduction. Their media operations team now finds exactly what they need with precision, in seconds.

Sports broadcasters are building the same capability. SBS, one of South Korea's leading broadcasters, chose TwelveLabs to enable scene-level search across their full archive. Dyn Sport uses it to cover 3,000 live events per season, finding the moments that go beyond the scoreboard, automatically.

SBS Case StudyDyn Sports Case Study