[LOCAL NEWS]

[LOCAL NEWS]

Find the Newsworthy Moments in Hours of Government Footage with AI

Automatically surface confrontations, key votes, and public comment highlights from city council sessions, hearings, and political proceedings. Built for local newsrooms that can't watch it all.

shots of tennis players tossing the ball
shots of tennis players tossing the ball

[THE PROBLEM]

You already have the footage that matters. You just lack the staff to publish them.

You already have the footage that matters. You just lack the staff to publish them.

  • 20+ hours of proceedings a week. Almost zero clips.

    City council, county board, school board, planning commission. Somewhere in there is the 90-second clip your audience would actually share. But finding it means someone has to watch all of it.

  • Generic tools detect volume, not news.

    Most AI clipping tools detect audio peaks. That catches the generic debates. It misses the quiet, tense 4-3 vote that just rezoned half a neighborhood.

  • The story runs as text instead of video.

    The clips never get made. The coverage runs as a text summary instead of the video that would actually get engagement. Your community deserves better.

  • You shouldn't need a full staff to cover local government.

    Local newsrooms deserve the same monitoring tools national networks have. Without the headcount, the budget, or the complexity.

[WHY REKA FOR NEWS]

Leverage the Most Specialized Video Understanding AI for Local News

Leverage the Most Specialized Video Understanding AI for Local News

  • Confrontation & Tension Detection

    Heated exchanges, cross-talk, finger-pointing, raised voices paired with aggressive body language. The moments that drive shares.

  • Fact-Checking & Context

    When a politician says "I never supported that rezoning," find the clip where they voted yes. Search across all archived footage by speaker and topic to surface contradictions, verify claims, and pull receipts in seconds.

  • Clip Packages & Speaker Reels

    Automatically generate clip packages from hours of proceedings. Pull every appearance by a specific council member, official, or resident. Ready to publish the same night.

  • Searchable Newsroom Archive

    Auto-tag years of footage by speaker, topic, motion, and moment type. Search your entire archive with natural language. Every session, presser, and hearing your newsroom has ever recorded, finally findable.

  • Live Session Monitoring

    Monitor live streams of hearings, press conferences and sessions in near-real-time with roughly a 2-minute delay. Get alerts on confrontations, key votes, or breaking moments. Clips ready while the session is still going.

[HOW IT WORKS]

Record. Upload. Get the clips that matter.

Record. Upload. Get the clips that matter.

[FOR DEVELOPERS]

Start building in minutes

Integrate multimodal AI into your applications with our developer-friendly APIs, comprehensive documentation, and ready-to-use examples.

  • Powerful APIs

    RESTful APIs with SDKs for Python, JavaScript, and more.

  • Comprehensive Docs

    Detailed documentation, tutorials, and quickstart guides.

  • Sample Apps

    Ready-to-use examples for common use cases.

Reka enabled Shutterstock to further monetize their massive multimedia library—500M photos and 50M videos—through automated metadata tagging.

“The quality of our content has long been the core of our business and we’re excited to leverage Reka’s AI capabilities to further enrich metadata and tagging of our content library.”

Paul Hennessy, CEO of Shutterstock

Reka X Shutterstock
Reka X Shutterstock
Reka X Shutterstock

[GET STARTED]

You're already spending on the placements. Start proving they delivered.