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Traco AI
Artificial Intelligence Metadata Enrichment

Traco AI is an artificial intelligence platform designed to automatically analyze video content and generate structured metadata directly within the newsroom environment. The system integrates natively with Avid MediaCentral | Cloud UX and processes live streams, ingesting media and archive content without requiring changes to existing editorial workflows.

Instead of exporting media to external AI tools, the analysis is performed directly within the broadcast infrastructure. By combining speech recognition, visual analysis and identity detection, Traco AI transforms raw media into searchable information that can be immediately used by journalists, editors and archive teams.

Why Traco AI?

Modern newsrooms work with massive volumes of video content where manual metadata creation is no longer sustainable. Traco AI automatically enriches media with structured information such as transcripts, detected faces, speakers, scenes and contextual metadata.

Editorial teams can therefore locate relevant content in archives within seconds and understand what is happening in the video without manually reviewing the material. All processing can run directly within the broadcaster’s infrastructure, ensuring full control over sensitive media data.

Face recognition

Traco AI includes an AI-powered identity detection system capable of detecting, tracking and identifying individuals across the entire media archive. The system builds a centralized person database containing timeline segments and screen-time metadata for each detected appearance.

Once a person’s identity is confirmed, journalists can instantly locate all appearances of that individual across thousands of media assets.

Visual and scene analysis

The platform automatically analyzes visual content to detect scenes, generate structured descriptions and extract on-screen text using contextual OCR. This allows editors and journalists to navigate video content based on visual events instead of manual tagging.

Speech recognition and transcripts

Traco AI integrates enterprise-grade speech-to-text technology capable of processing live streams, ingesting files and archived material. The system generates time-coded transcripts with speaker separation, allowing journalists to search spoken content while the media is still ingesting. These transcripts can also be exported to standard editorial and broadcast formats for subtitles and publishing workflows.

Semantic media search

By combining speech transcripts, visual metadata and identity recognition, Traco AI enables semantic search across the entire newsroom archive. Users can locate content based on meaning, context or visual events rather than relying only on traditional keyword metadata.

Key Features

Native MediaCentral integration
Traco AI operates directly inside the Avid MediaCentral | Cloud UX environment, allowing journalists and editors to access AI-generated insights without switching between systems.

Real-time newsroom processing
Media can be analyzed while it is still ingesting, enabling editorial teams to access transcripts, metadata and searchable content almost immediately.

Centralized metadata intelligence
All generated metadata is stored in a structured database, creating a unified knowledge layer across live feeds, production media and archive assets.

Scalable processing architecture
The platform is designed for high-volume broadcast environments and can scale across multiple processing nodes to handle large media archives and continuous live ingest.

On-premise deployment option
Traco AI can operate within the broadcaster’s infrastructure, ensuring full control over sensitive media data and compliance with internal security policies.

Platform architecture

All AI services are orchestrated through the Traco AI backend platform, which manages job scheduling, metadata storage and scalable AI processing nodes. The architecture is designed for high-volume broadcast environments and can scale horizontally depending on newsroom processing requirements. AI-generated metadata is exposed directly inside the Avid MediaCentral Cloud UX interface, allowing journalists and editors to access transcripts, detected persons and searchable content without leaving the editorial environment.

Use Cases

Breaking news research
Journalists can instantly identify relevant moments, speakers or appearances within incoming feeds and archive material during fast-moving news situations.

Archive discovery and reuse
Editorial teams can quickly locate historical footage, interviews or specific appearances across large media archives without manual review.

Compliance and monitoring workflows
Automatically generated metadata allows broadcasters to trace appearances of individuals and review content for regulatory or editorial compliance.

Multilingual content preparation
Transcripts and translations generated from media content can be used to accelerate subtitle creation and international content distribution.

Investigative journalism support
By connecting identities, transcripts and visual events across large archives, Traco AI helps investigative teams uncover patterns and relationships within media content.

Download the datasheet

Get the complete technical overview of Traco AI, including architecture, AI capabilities and deployment model.

Download here

Demo video

Speech recognition and transcripts

Traco AI integrates enterprise-grade speech-to-text technology capable of processing live streams, ingesting files and archived material. The system generates time-coded transcripts with speaker separation, allowing journalists to search spoken content while the media is still ingesting. These transcripts can also be exported to standard editorial and broadcast formats for subtitles and publishing workflows.

Automatic CC generation features

Traco AI incorporates speech-to-text recognition allowing for automatic closed captioning (CC) generation. With Traco AI you can also extract keywords from recognised texts to improve video search and speech metadata can be integrated into Avid MediaCentral, Viz One and more.

Play Video

Speech recognition and transcripts

Traco AI integrates enterprise-grade speech-to-text technology capable of processing live streams, ingesting files and archived material. The system generates time-coded transcripts with speaker separation, allowing journalists to search spoken content while the media is still ingesting. These transcripts can also be exported to standard editorial and broadcast formats for subtitles and publishing workflows.

Features
pre Broadcast.

Pomocou Traco GFX dokážete pohotovo reagovať na aktuálne udalosti a prinášať najnovšie správy. Reportáži môžete ihneď pridať grafické titulky zo širokej škály grafických šablón Viz Pilot priamo v rozhraní, upravovať ich načasovanie a trvanie na časovej osi. Týmto spôsobom môžete všetky kroky potrebné na dokončenie reportáže vykonať sami na svojom notebooku, počítači alebo tablete.

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