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Video Moment Search

Jumps to the exact second in a long video where something was said or shown.

Advanced48h2–4 people16/20 fit
TL;DR

Build Video Moment Search for students, researchers and content teams in ~48h with 2–4 people. Stack: Python + Whisper + Vector DB + React.

Why it wins: Multimodal RAG with a crisp, clickable result.

Build flow

01 · Problem
Finding one explanation inside a 2-hour lecture or meeting recording means endless scrubbing.
02 · Solution
Transcribe and caption frames, index both, then search in plain language and jump to the timestamp.
03 · Build
  1. 1Transcribe with Whisper
  2. 2Caption sampled frames
  3. 3Embed + index segments
  4. 4Search UI with player seek
04 · Demo
Search “where they explain backprop” → player jumps to the right minute.

MVP checklist

  • Video upload or link
  • Timestamped transcript
  • Natural-language search
  • Click-to-jump results

Tech stack

TechRole
PythonBackend / scripting
WhisperSpeech-to-text
Vector DBEmbedding search
ReactFrontend UI

Reference repos

Open-source projects you can build on. Links checked 2026-10-31.

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