Use case
AI footage search for reality TV post teams
Reality TV generates thousands of hours of multicam footage per season. Reelback makes every frame searchable by face and dialogue.
The reality TV dailies problem
A single season of a reality show can generate 2,000–5,000 hours of multicam footage. Story producers build paper cuts from memory and incomplete logs. Editors scrub hours of multicam to find the one reaction shot they need. PAs spend weeks logging footage that will never be fully searchable.
Reelback automates this. Every face is detected and tracked. Every word is transcribed. Story producers can search “every time Jake talks about the competition” and get timecoded results in seconds.
How reality TV teams use Reelback
Search by cast member
AI face detection identifies cast members across every camera angle and every episode. Find every appearance instantly — no manual logging required.
Find confessionals by topic
Search transcripts for keywords or phrases across all confessionals. "Show me every time Sarah mentions the alliance" — instant results with timecodes.
Build string-outs from search results
Select moments from search results and export as EDL or FCPXML. Open directly in Premiere or Resolve to build your string-out.
Cross-episode continuity
Search across entire seasons. Track story arcs by searching for dialogue themes and cast appearances across all episodes in a project.
Built for the volume reality TV demands
Reelback's processing pipeline handles high-volume ingest. Upload hundreds of hours and they become searchable as they process. Zero-storage mode is available for teams that can't keep raw footage in the cloud — all metadata and search capability is preserved after the source files are deleted.
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Search your reality footage live.
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