Boost OTT platform efficiency through Metadata Enrichment

Article17th June, 2025
  • AI
  • Metadata enrichment

For broadcasters, content owners, and OTT platforms managing large-scale libraries, keeping content organized, searchable, and ready for distribution is no small task. Manual processes are time-consuming, error-prone, and costly. Metadata enrichment changes that by bringing automation, structure, and scalability to your operations.

In this article, we dig into how enriched metadata simplifies and streamlines content workflows, optimizes platform performance, and drives down operational costs.

The operational challenge: Managing content at scale

With the explosion of video consumption, OTT platforms are now managing more content than ever. The number of global SVOD subscribers is expected to reach 1.79 billion by 2029 (+321 million from 2023). This makes it critical for platforms to deliver organized, searchable, and personalized content at scale.

For large video libraries, especially in multi-genre or multilingual catalogs, manual content tagging and metadata updates quickly become a bottleneck. Not to mention, inconsistency in metadata can result in search failures, content duplication, and a poor user experience.

Metadata enrichment solves these challenges by automating tagging, structuring content data, and making assets ready for search, discovery, and recommendation engines.

How Metadata Enrichment streamlines workflows

Metadata enrichment isn’t just about making your content look good, it’s about making your backend operations smarter and more efficient.

  •  Automated tagging and classification:

AI-powered enrichment tools can automatically tag content based on themes, genres, people, events, moods, and more—eliminating hours of manual work. For example, Alpha Networks' Metadata Enrichment solution can identify intros and end credits, differentiate episodes with unique thumbnails, or detect faces for visual tagging, all automatically. This level of automation not only increases speed-to-market but also ensures consistency across your entire catalog.

  •  Faster content onboarding:

Bringing new content to your platform? Metadata enrichment helps standardize and populate metadata fields instantly, accelerating content ingestion and publishing processes. This is particularly useful for live events and sports where fast turnaround is essential.

  •   Enhanced searchability for internal teams:

Good metadata doesn’t just serve the end user, it also makes life easier for internal teams. Editors, marketers, and developers can locate assets faster, build collections, and deploy content across platforms more efficiently when metadata is consistent and enriched.

Reducing operational costs with AI-driven metadata

The traditional approach of hiring teams to manually tag, organize, and quality-check metadata is both expensive and time-consuming. Metadata enrichment powered by machine learning significantly cuts these costs.

According to a PwC report on the application of automation, companies can save time on such processes by 30-40% by automating repetitive tasks like tagging, content prep, and metadata input.

This means that the more your library grows, the more automation pays off. This way, it’s not just time/cost saving, it’s scalability.

Metadata as a tool for smarter catalog management

Your content catalog is your most valuable asset, but it’s only as good as your ability to manage and leverage it.

With rich metadata:

  •  Content discovery improves, leading to higher viewer satisfaction and retention

  •  Recommendation engines become more accurate, driving more watch time

  •  Editorial teams can curate better playlists and collections, increasing engagement

  •  Multilingual and multi-region management becomes easier, thanks to metadata localization and translation

Smart catalog management is especially important for platforms looking to expand globally. Metadata enables region-specific recommendations, compliance tagging (e.g., age ratings), and better content lifecycle tracking.

How Alpha Networks makes metadata work for you

At Alpha Networks, we understand that operational efficiency is as critical as user experience. That’s why our metadata enrichment engine ENRICH., built into our Tucano modular platform, is designed to:

  •  Generate descriptions, thumbnails, and chaptering using AI

  •  Detect intros and credits in series and documentaries

  •  Generate metadata from third-party sources through seamless integrations

  •  Optimize metadata for multilingual, multi-territory platforms

  •  Reduce human workload while increasing metadata accuracy and consistency

Metadata enrichment with Alpha Networks Tucano modular platform Enrich service. Video tagging, detect intro and end credits
AI-enriched metadata with Alpha Networks Tucano modular platform
AI metadata multilingual generation synopsis for movies, series (TV Shows), documentaries, and descriptive keywords with Alpha Networks

With a pay-as-you-go model, you only pay for what you use, making it a cost-effective solution that scales with your needs.

Whether you're managing hundreds or thousands of assets, Alpha Networks' enrichment tools empower you to operate faster, smarter, and more profitably.

Wrapping up

Metadata enrichment isn't just about improving the viewer experience, it's a strategic tool for scaling content operations, reducing manual effort, and making your OTT platform more agile and efficient.

As your content library grows and your audience becomes more global and demanding, investing in robust metadata systems will give you a significant operational edge.

Want to simplify your content workflows and increase efficiency with enriched metadata? Contact Alpha Networks today and let’s talk about how our metadata solutions can power up your platform, inside and out.

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