Welcome to MetadataIQ
Boosts content discoverability by automating media metadata creation
MetadataIQ Technical Capabilites
Hybrid SaaS solution: on-premise component + cloud processing
Secure processing with encrypted data transfer
Can be installed on dedicated server or VM
Direct integration with Avid Interplay, Avid MediaCentral (cloud), Avid Media Composer
Integration with Grass Valley FrameLightX (FLX)
Standard MAM/DAM connectivity
Integration with Trance platform for transcription/captioning workflows
Speech-to-text with speaker identification and punctuation (100+ languages)
Topic-Based Segmentation (Automatically organizes transcripts into clear sections based on topic changes.)
Visual scene description generation (e.g., "Crowd cheering after goal", "Police enters room")
Facial recognition with trainable datasets for recurring personalities/anchors
Logo detection with time code accuracy
OCR (on-screen text extraction)
Object identification
Shot change detection
Topic and keyword tagging
Content summarization (combines audio and visual elements into unified synopses)
AI and Machine Learning Data Training - (Sports analytics, vehicle accidents, near-miss incidents, forest surveillance, wildlife monitoring, etc.)
Virality scoring (AI prediction of trending potential)
Rapid identification of inappropriate content in media
Detection capabilities: profanity, obscenity, nudity, sexual content, violence, drug use, tobacco/vaping products (smoking), alcohol consumption
Contextual analysis to distinguish appropriate vs. inappropriate usage
Automated flagging for content review workflows
Real-time processing: Live feed metadata generation during ingest for immediate turnaround
Rapid classification: Automated topic segmentation and media tagging while content airs
Fast content identification: Reduce manual identification efforts by up to 80%
Quick retrieval: Find relevant clips in seconds, not minutes
Breaking news support: Tag, index, and validate footage before it's off the feed
Story assembly: Automatically assemble select reels from tagged scenes and quotes for review
Real-time transcript generation from live feeds
File-based processing for archive content
Automated marker/locator creation in editing systems with customizable duration and color coding
Combined search across multiple metadata types simultaneously (STT + faces + logos + OCR + scenes)
Timeline integration - metadata indexed directly to video time code
Word-level or sentence-level timestamp precision
Automated asset extraction from production systems
Metadata returned as markers ingested into editorial tools
Support for sidecar file export (JSON, XML, CSV)
Batch processing for large archive enrichment
Rule-based folder triggers for automated ingest
AI-Powered Transcription: Instantly converts hours of footage into searchable text.
Translation & Localization: Makes content accessible across languages and regions.
Topic-Based Segmentation: Breaks long footage into meaningful sections to quickly find relevant content.
Summarization Engine: Quickly assesses content value without reviewing entire recordings.
Contextual Visual Descriptions: Understand key visuals without watching full clips.
Virality / Relevance Scoring: Identifies moments most likely to engage audiences.
Facial Recognition: Easily locate appearances of key individuals across footage.
Keyword & Entity Tagging: Improves search, discovery, and content reuse across large libraries
Schedule your demo now and unlock the full potential of MetadataIQ.
Let MetadataIQ handle the tagging, tracking, and compliance, so you can focus on telling stories that change the world.
