AI-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 because nobody has time to log it. ZebIQ applies AI to the entire post-event content problem: automated transcription, speaker identification, topic and keyword tagging, and intelligent clip extraction that finds the quotable thirty seconds inside a forty-minute talk.
Our pipeline combines speech-to-text, computer vision, and large language models. Transcripts are timestamped to the word; speakers are diarised and matched to your agenda; topics, entities, and audience-reaction moments (applause, laughter, Q&A spikes) are detected and indexed. On top of this index, LLM-driven highlight selection identifies the strongest segments and renders them into platform-ready formats — vertical reels with burned-in captions for Instagram and Shorts, square cuts for LinkedIn, full session edits for your VOD library.
Humans stay in the loop where it matters: your team reviews and approves clips in a simple interface, and the system learns from those choices. The outcome is a content engine that turns one event into months of marketing material at a fraction of traditional editing cost and turnaround.
What's included
Word-Level Transcription & Indexing
Timestamped transcripts that make every hour of footage searchable by spoken phrase.
Speaker & Topic Tagging
Automatic speaker diarisation matched to your agenda, plus topic, keyword, and entity tags across the full archive.
AI Highlight Detection
LLM-driven selection of the strongest moments — key insights, quotable lines, audience reactions — ranked for review.
Platform-Ready Rendering
Automated vertical, square, and widescreen cuts with burned-in captions, brand templates, and intro/outro cards.
Review & Approval Workflow
A lightweight interface where your team approves, trims, or rejects clips before anything publishes.
Archive Intelligence
Your historical footage library becomes a searchable asset — find every time any speaker mentioned a topic across years of events.
How it works
A clear, numbered path from kickoff to live operation — so you always know what happens next.
Content Audit & Template Setup
We configure brand templates, caption styles, output formats, and the tagging taxonomy that fits your content strategy.
Pipeline Configuration
Ingest paths, agenda matching, and AI model tuning set up against sample footage from your past events.
Processing & Review
Footage runs through the pipeline; your team reviews ranked highlights and approves clips in the workflow tool.
Delivery & Iteration
Approved assets delivered to your channels or DAM, with the system tuned from your approval patterns each cycle.
Where it shines
Conference Content Repurposing
Sixty hours of sessions converted into hundreds of tagged clips fuelling a year of social and email marketing.
Same-Day Social During Events
Morning keynote highlights published to social by afternoon, driving real-time buzz while the event is still running.
Searchable Corporate Archives
Years of townhalls and training recordings indexed so teams can find any statement or topic in seconds.
Related services
Frequently asked
Modern speech models achieve very high accuracy on clear conference audio, and 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.
It replaces the logging and rough-cut grind, not editorial judgement. The AI finds and pre-cuts candidate moments; your team (or ours) applies taste in an approval workflow. Editors ship ten times more output, not zero output.
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.
Ready to put AI-Based Content Tagging & Clipping to work?
Share your dates and goals — we'll respond within one business day with approach, team, and budget.