What is Video Metadata?

Video metadata refers to the descriptive information associated with a audiovisual file. It includes details such as title, tags, descriptions, timestamps, and other relevant timeseries data that help categorize and organize videos. Vionlabs adds contextual information to this metadata such as the mood and the emotions a video file has. 

How does Video Metadata enhance user experience?

Video metadata enhances user experience by providing contextual information about videos. It enables accurate content recommendations, personalized playlists, improved search results, and better navigation within video libraries.

How does Vionlabs leverage user experience?

By analyzing video content, Vionlabs extracts valuable insights that help improve user engagement and satisfaction. Vionlabs metadata can be used to create personalized video recommendations and content discovery experiences.

What are the benefits of using Vionlabs Fingerprint+?

Vionlabs Fingerprint+ offer benefits such as enhanced content discovery, personalized recommendations, improved search accuracy, optimized user interfaces, and increased viewer engagement.

Can Vionlabs solutions integrate with existing video platforms?

Yes, Vionlabs solutions are designed to integrate seamlessly with existing video platforms. We provide APIs that enable easy integration and customization to meet specific requirements.

How does Vionlab AI technology analyse video content?

Vionlabs utilizes it’s proprietary advanced AI algorithms to analyze video content frame by frame. The technology can recognize objects, scenes, audio patterns, and other visual and audio cues to generate rich metadata. Read more here.

What industries can benefit from Vionlabs' Video Metadata solutions?

Vionlabs’ Video Metadata solutions can benefit various industries, including TV-Operators, IPTV operators, cable operators, OTT platforms, and broadcasters.  Vionlabs help them create enhanced viewing experiences, release the potential of all their content and provide content that aligns with each viewer’s taste.

Can Vionlabs solutions handle multiple languages?

Yes, our solutions are not language based and can handle any languge, we can analyze and extract metadata from videos in all languages and provide accurate recommendations.

Is Vionlabs Video Metadata analysis scalable for large video libraries?

Our Video Metadata analysis is scalable and can handle large video libraries efficiently with the ability of processing 1000s of asset daily on CPUs. The technology is built to process and analyze videos at scale, ensuring optimal performance.

How can Vionlabs solutions improve video monetization?
  • By providing accurate video metadata, we helps optimize ad targeting and ad placement, ensuring relevant ads are shown to viewers in the right moment, increasing ad effectiveness and revenue.
  • Through personalized content recommendations, our solutions enhance viewer engagement and extends watch time, leading to more ad impressions and higher monetization potential.
  • Vionlabs’ metadata insights enable content creators and platforms to understand viewer preferences and trends, allowing them to develop and promote content that resonates with their audience, attracting more viewers and advertisers.
  • With better search accuracy and content organization, Vionlabs helps users discover relevant videos easily, leading to increased views, potential ad interactions and less churn.
  • Vionlabs’ solutions offer valuable insigths into the content library, enabling data-driven decision-making for optimized monetization strategies.
  • Vionlabs solutions improve content recommendation accuracy by 83% and catalog coverage by 56%
What are the benefits of using Vionlabs' Video Metadata solutions?

Vionlabs’ Video Metadata solutions offer benefits such as enhanced content discovery, personalized recommendations, improved search accuracy, optimized user interfaces, increased viewer engagement, better ROI for advertisers and less churn. 

How does Vionlabs' Video Metadata benefit content discovery?

Vionlabs’ Video Metadata significantly enhances content discovery by providing accurate and descriptive, contextual information about videos. Vionlabs solutions automates preview clips and thumbnails for better visual presentation of the content. 

This enables platforms to deliver personalized recommendations, related content suggestions, and curated playlists that resonate with viewers’ interests, leading to improved content discovery experiences.

Can Vionlabs solutions help reduce churn?

Yes, Vionlabs solutions can help reduce content churn by providing tools for relevant recommendations and personalized experiences to viewers. By understanding viewer preferences and offering engaging content suggestions, Vionlabs helps retain users and reduces the likelihood of them switching to other platforms.

How can Vionlabs Video Metadata benefit content recommendation algorithms?

Vionlabs Video Metadata provides valuable insights that can significantly enhance content recommendation algorithms. By delivering cognitive detailed metadata, platforms can deliver more accurate and personalized recommendations, resulting in improved user engagement and satisfaction. Read more how it works here. 

Can Vionlabs Video Metadata be applied to user-generated content (UGC)?

Yes, Vionlabs Cognitive Video to Metadata can be applied to user-generated content (UGC) as well.

AINAR V4t is capable of predicting and producing over 40 genres, 2300 keywords, 40 mood categories, and 700 mood tags. It is equipped with features such as similar content clustering, contextual ad cue point detection, and contextual scene-level data for targeted advertising.

It can accurately detect and track different segments of media content, including Binge Markers such as Intro, Recap, and Credit detection. It can automatically generate thumbnails and preview clips, which is useful for streaming companies as content libraries grow larger.

This enhances content discovery and user experiences within UGC platforms by providing accurate recommendations and personalized content suggestions based on the analyzed metadata. Vionlabs’ technology adapts to the dynamic nature of UGC, ensuring that user-generated videos can also benefit from advanced metadata analysis, leading to improved engagement and user satisfaction.


Can we do on prem installation on AWS, GCP or on our hardware?

Yes we support on prem installation in your own cloud, we support AWS and Google cloud

How does a standard on prem installation work?

Our team will provide you with a terraform script adapted for AWS or GCP settings and we will support you through the installation through a dedicated slack channel. We support both VM-based and container-based deployments

How do we fetch the data?

We provide a feature known as the Catalog API. This allows you to input your own filenames and internal IDs, eliminating the need for third-party IDs. To retrieve data, you simply use your internal IDs to make requests to our JSON API, which then returns the desired data.

What Neural networks do you use?

We utilize custom neural networks, which are proprietary designs built on proprietary data sets we’ve created in-house. 

vionlabs - video to metadata

We help TV-Operators, IPTV operators, cable operators, OTT platforms, and broadcasters create enhanced viewing experiences, release the potential of all their content and provide content that aligns with each viewer’s taste.



Västmannagatan 4
111 24 Stockholm, Sweden