Zee5 Launches AI-Powered Clips With Google Cloud to Transform 13,000 Videos From Movies and Shows

Zee5 Introduces AI-Powered Content Discovery Through Clips

Zee5 has rolled out Clips, an AI-powered feature developed in collaboration with Google Cloud that transforms long-form content into short-form vertical videos1

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. The feature automatically identifies engaging moments from movies and shows and converts them into swipeable segments designed to help users discover content across the streaming platform. Zee5 has generated 13,000 Clips from 1,200 titles so far, demonstrating the scale at which AI-driven innovation can repurpose existing catalogues2

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. Users viewing a Clip can transition directly to the full-length movie or show, creating a seamless pathway from discovery to deeper content consumption3

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Technical Architecture Behind the AI-Powered Feature

The technology powering Zee5 Clips brings together multiple Google Cloud systems to automate content packaging at scale. Gemini Pro serves as the foundation for analyzing video files and identifying narrative peaks suitable for standalone viewing1

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. The Chirp model handles multilingual speech-to-text processing across Zee5's diverse language catalogue, which includes Hindi, Tamil, Telugu, Bengali, Malayalam, Kannada and Marathi content2

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. Cloud Vision API and deep learning models manage image-processing technologies, adjusting visual composition by reformatting horizontal footage into vertical aspect ratios optimized for mobile viewing3

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. This automated workflow eliminates the need for extensive manual editing, enabling the platform to process thousands of hours of existing content into fresh entry points.

Transforming Content Consumption Patterns

Tejkarran Singh Bajaj, Business Head for Zee5 India and AI & Innovation, emphasized how the feature reflects a different approach to content consumption. "Developed in collaboration with Google Cloud, it puts the most compelling moments from our long form catalogue right into the swipe journey, giving audiences a quick way to find something that catches their attention," Bajaj stated1

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. Early viewing behavior shows meaningful movement from Clips to full-length titles, though specific conversion data has not been disclosed2

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. The short-form vertical videos function as interactive previews rather than standalone entertainment, creating dynamic navigation layers that reduce reliance on static carousels and traditional trailers3

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Strategic Implications for Streaming Platforms

Pramod Prakash, Chief Technology Officer at Zee Entertainment Enterprises Ltd., highlighted the strategic value of turning catalogue assets into discovery tools. "We have generated 13,000 Clips from 1,200 titles so far, demonstrating what this technology can unlock across a large content library," Prakash noted1

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. The feature gives Zee5 multiple pathways for audiences to move from moments of discovery into complete stories, addressing the challenge of helping viewers find content they might not actively search for2

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. This approach reflects broader industry trends as streaming platforms experiment with short-form formats to attract viewers and direct them toward longer programming. Amit Kumar, Managing Director of Digital Natives Business at Google Cloud India, described the collaboration as demonstrating how Gemini AI can drive measurable business value while accelerating time-to-market for new platform features3

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Future of AI-Powered Content Discovery

The collaboration between Zee5 and Google Cloud signals how generative AI can reshape user engagement patterns on streaming platforms. By automating the identification of high-engagement moments within movies and shows, the technology enables content libraries to function as dynamic discovery ecosystems rather than static repositories1

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. The swipeable segments created through this AI-powered content discovery system offer viewers quick sampling opportunities that align with contemporary consumption habits2

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. Watch how other streaming services adopt similar AI-driven approaches to catalogue monetization and whether vertical video formats prove effective at converting casual browsers into committed viewers across different content genres and regional markets3

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