Vizrt Unveils Viz One 8.1

Broadcasters, rights holders, and large media organisations can now locate footage five times faster, tag essential details ten times more efficiently, and achieve a 50% improvement in metadata precision with the release of Viz One 8.1 — the newest version of Vizrt’s flagship media asset management platform.

Today's media teams are under unprecedented pressure to publish more content at greater speed, distributing it simultaneously across an expanding number of digital channels. As raw content libraries grow exponentially, traditional tagging methods and manual archive searches are increasingly unable to keep pace. Viz One 8.1 tackles this bottleneck head-on through a deep integration with aiconix's DeepVA AI engine, enabling end-to-end automation of critical media workflows — including enriched, context-aware metadata extraction — so teams can replace labor-heavy processes with smart, AI-driven production.

"The true value of a media library lies not in its size, but in how easily its content can be discovered and activated," said Jochen Bergdolt, Head of MAM at Vizrt. "With Viz One 8.1, AI goes beyond theory and delivers tangible, real-world results — drastically reducing manual tagging, pinpointing the right assets instantly, and empowering teams to craft compelling stories with unprecedented speed."

Viz One 8.1 introduces AI-powered visual recognition that transforms raw footage into structured, searchable data – helping content teams surface the right content in seconds. It adds "visual understanding" to archives and workflows, automatically identifying and tagging faces, objects, and scenes within video material, including through trainable custom models. This enriched metadata fuels advanced, vector-based search, uncovering "related content" and breaking long assets into meaningful scenes for faster research, compliance, and editing.

Teams can focus on training AI for unknown entities and performing optional QA reviews, with early tests showing a 10x reduction in time spent logging and a 50% increase in accuracy, and a 5x improvement in surfacing the right clips, scenes, and themes for reuse, compliance, or monetisation.

"Content creators need AI that works for their specific needs, not a one-size-fits-all solution," says Esther Arroyo, CMO at aiconix. "DeepVA's ability to train custom models and generate structured, machine-readable metadata ensures Viz One customers can optimise their workflows and deliver more relevant, localized content to their audiences."

The result? Faster research and clip discovery, fewer bottlenecks, and greater creative flexibility for content creators working across news, sports, and entertainment on any platform.

Viz One 8.1 builds on the containerized architecture introduced in Viz One 8, designed to scale seamlessly across on-prem, hybrid, and cloud environments. DeepVA's AI services are deployed securely within each customer’s Viz One environment, providing powerful AI workflows without requiring sensitive data to leave their infrastructure.

Together, Vizrt and DeepVA are pioneering a pragmatic approach to AI in media: delivering automation where it adds real value, without adding unnecessary complexity or "AI noise". This marks an important step in Vizrt's mission to revolutionize viewer experiences through cloud, AI, and digital-first workflows. Recent innovations have cut setup time with AI-powered lens calibration, made virtual environments more lifelike with AI-generated talent shadows and reflections, and simplified the use of augmented reality graphics in any indoor or outdoor setting through AI-driven greenscreen-less keying.

"Viz One 8.1 is the next step in our long-term vision," added Bergdolt. "By combining Viz One’s proven reliability with intelligent automation, we're giving customers the tools to work smarter today – and build stronger media operations for tomorrow."

www.vizrt.com