Case Study: Turning Hours of Training Video Into Searchable Knowledge

Training libraries have a scaling problem: the more videos a company records, the more knowledge gets locked away in footage nobody has time to rewatch. The AI Training Video Hub unlocks it.

When a video is uploaded, an n8n pipeline triggers. AssemblyAI transcribes the audio into speaker-accurate text, then OpenAI turns that transcript into a structured summary, a set of learning objectives, and a frame-by-frame visual analysis.

Everything lands in a searchable dashboard. A new hire can read a three-minute summary instead of watching a 45-minute video, or jump straight to the transcript section they need.

It takes about three hours of manual transcription and summary work off every single video — and that saving compounds with every upload.