Reka's vision platform is built for the volume and variety of media workflows — enabling content teams to search archives, auto-tag footage, and generate highlights without manual review.

[USE CASES]
Semantic Video Search
Type what you remember — "crowd shot, blue jerseys, raining" — and find it across decades of archive. No tags, no filenames, no scrubbing.
Automated Highlight & Clip Generation
Pull the moments worth cutting from long-form content: sports plays, interview soundbites, news beats. Ready to publish minutes after the broadcast ends.
Scene-Level Captioning & Metadata Enrichment
Auto-generate scene descriptions, speaker labels, object tags, and shot-type metadata at ingest. Your archive becomes searchable the moment it lands.
Ad Suitability & Brand Safety at Ingest
Classify content by what is actually on screen — not just genre. Give advertisers real contextual targeting and protect inventory from unsafe adjacencies.
[HOW IT WORKS]
Connect Your Footage
Point Reka at your archive, MAM, or live ingest pipeline. We index existing libraries and watch new content as it arrives.
Auto-Tag at Scene Level
Every clip gets captions, object tags, speaker labels, and shot metadata generated in the background — no manual logging required.

Search in Natural Language
Find moments by describing them. Producers, editors, and journalists query the archive like a colleague who has watched everything.
Export & Publish
Push selected moments straight into your edit suite, CMS, or social publishing tool. The clip is ready when the meeting ends.
[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
[GET STARTED]




