| name | b-roll-finder |
| description | Find relevant B-roll and stock footage by analyzing script content with semantic search. Match video meaning to text instead of random selection. Use when sourcing stock footage, finding B-roll clips, or matching visuals to narration. |
| domain | content |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | content-creation |
| tags | ["video","semantic-search","b-roll","stock-footage","ai"] |
| version | 1.0.0 |
B-Roll Finder
When to Use
Trigger phrases:
- "find B-roll" · "stock footage for this script" · "match videos to narration"
- "relevant footage" · "B-roll selection" · "visual content for this script"
- "find clips that match" · "video search by meaning" · "semantic video search"
Use cases:
- YouTube video production — find B-roll that matches narration
- Documentary creation — source relevant footage for each section
- Marketing video assembly — match visuals to ad copy
- Tutorial video creation — find screen recordings / demos
- Social media content — quick visual matching
When NOT to use:
- When you have pre-selected footage
- When random stock footage is acceptable
- For custom-shot video (use a camera)
Overview
Semantic video matching analyzes the meaning of your script/narration and finds stock footage clips that visually match each section. Instead of random keyword search, it understands context — "a person struggling with spreadsheets" matches footage of frustrated office workers, not just "spreadsheet" keyword hits.
Process
- Input script — Provide narration text, article, or section-by-section breakdown
- Semantic analysis — Extract key visual concepts from each section
- Search stock libraries — Query Pexels, Pixabay, or custom libraries with semantic matches
- Rank results — Score clips by relevance to narration meaning
- Select and download — Pick best matches, trim to section length
- Assemble — Use video-editor to combine B-roll with voiceover
API Example (Pexels)
curl "https://api.pexels.com/videos/search?query=person+frustrated+at+computer&per_page=10" \
-H "Authorization: $PEXELS_API_KEY" | jq '.videos[].video_files[] | select(.quality=="sd") | .link'
Workflow with faceless-youtube
Script → b-roll-finder (match visuals) → video-editor (assemble) → faceless-youtube (upload)
Anti-Rationalization Table
| Rationalization | Reality |
|---|
| "Random stock footage works" | Random clips feel disconnected. Semantic matching makes B-roll feel intentional and professional. |
| "Keywords are enough" | "Office" returns generic results. "Person overwhelmed by data" returns specific, relevant footage. |
| "Skip B-roll, just use talking head" | B-roll increases retention by 20-40%. Every section needs visual variety. |
Verification
