TwelveLabs & TrackIt - AI Video Search, Highlight Generation, Compliance

As described on AWS Marketplace.

As video libraries grow, it's becoming increasingly difficult to manage with just manual tags and basic file names. TwelveLabs and TrackIt provide a simple way to make video content searchable and useful. By using advanced models on Amazon Bedrock, our system "sees" and "hears" scenes, allowing clips to be found based on visual actions, sounds, or even text on screen.

• Better Video Search (MAM): Instead of clicking through folders, type a description (i.e. "a drone shot of a city at sunset") and find that exact moment across thousands of hours of footage. This capability can plug directly into many Media Asset Management (MAM) systems.
• Automatic Highlights: Save hours in the edit suite by automatically identifying high-energy moments or key actions in raw footage. Then pull together sizzle reels and social media clips in a fraction of the usual time.
• Safety and Compliance: Protect brand idenity by automatically flagging content that doesn't meet guidelines or regulatory requirements. It can also track logo placements and brand presence that traditional text-based tools miss.

Highlighted by the publisher on AWS Marketplace.

Natural Language Video Search: Find any clip in the MAM or library instantly by describing the scene in plain text. No more manual logging or tagging required.

Instant Highlight Generation: Speed up social media and marketing workflows by letting AI identify the best moments in raw footage for quick clip creation.

Automated Brand Safety: Keep content compliant and monitor brand presence automatically by detecting specific visual cues, logos, and actions across an entire library.