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ExploreAI-Based Content Tagging & Clipping
AI that watches your event footage for you — auto-tagging speakers and topics, and cutting highlight reels and social clips in hours, not weeks.
A three-day conference produces sixty-plus hours of footage—and most of it dies on a hard drive. ZebIQ's AI watches your event footage for you: automated transcription, speaker identification, topic tagging, and intelligent clip extraction that finds the quotable thirty seconds inside a forty-minute talk. Turn one event into months of marketing material in hours, not weeks.
The Content Pipeline
Our system combines speech-to-text, computer vision, and large language models into a unified post-event engine:
- Timestamped transcripts make every spoken phrase searchable
- Speaker diarisation automatically matched to your agenda
- Topic and keyword tagging across the entire archive
- Audience-reaction detection — applause, laughter, Q&A spikes
- LLM-driven highlight selection ranks the strongest segments
- Platform-ready rendering delivers vertical, square, and widescreen cuts with captions
Your team reviews and approves clips in a simple interface, and the system learns from those choices. The outcome: a content engine that cuts traditional editing cost and turnaround by a fraction.
Word-Level Transcription & Indexing
Every hour of footage becomes searchable. Timestamped transcripts pinpoint spoken phrases to the second, enabling your team to locate key moments instantly—across years of historical recordings. Speakers are automatically diarised and matched to your event agenda, eliminating manual logging.
Core Capabilities
AI Highlight Detection
LLM-driven selection identifies the strongest moments—key insights, quotable lines, and audience reactions—ranked for your review.
Platform-Ready Rendering
Automated cuts in vertical, square, and widescreen formats with burned-in captions, brand templates, and intro/outro cards.
Review & Approval Workflow
Your team approves, trims, or rejects clips in a lightweight interface before anything publishes.
Archive Intelligence
Historical footage libraries become searchable assets—find every mention of a topic across years of events instantly.
Scale & Speed
60+
hours of footage processed per conference
Hours
not weeks—typical turnaround for tagging and clipping
100s
social-ready clips from a single event
How It Works
1. Content Audit & Template Setup
We configure brand templates, caption styles, output formats, and the tagging taxonomy aligned with your content strategy.
2. Pipeline Configuration
Set up ingest paths, agenda matching, and AI model tuning using sample footage from your past events.
3. Processing & Review
Footage runs through the pipeline; your team reviews ranked highlights and approves clips in the workflow tool.
4. Delivery & Iteration
Approved assets delivered to your channels or DAM. The system improves each cycle based on your approval patterns.
The days of hoping someone finds time to edit sixty hours of footage are over. AI handles the logging and rough cuts; human judgment applies the editorial taste. You ship ten times more content at a fraction of the cost.
Common Questions
How accurate is the AI tagging and transcription?
Modern speech models achieve very high accuracy on clear conference audio. Our pipeline flags low-confidence segments for human review rather than publishing them blind. Accuracy improves further once we tune speaker and terminology lists to your event domain.
Does AI replace our video editors?
It replaces the logging and rough-cut grind, not editorial judgement. The AI finds and pre-cuts candidate moments; your team applies taste in an approval workflow. Editors ship ten times more output, not zero output.
How fast is the turnaround?
Processing runs faster than real time. A full conference day is typically transcribed, tagged, and clipped with highlights ready for review within hours of ingest. Same-day social publishing during a live event is a standard configuration.
Can you handle speaker identification across multiple events?
Yes. The system builds speaker profiles over time, improving diarisation and tagging accuracy with each event. Your archive becomes more intelligent as it grows.
Ready to Unlock Your Event Content?
Let's discuss how AI-powered tagging and clipping can turn your next event into a year of marketing material.
Related services
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Where to go next.
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