Use case
AI footage search for documentary teams
Documentaries live and die by the interview. When you have 200 hours of footage and need one quote, Reelback finds it in seconds.
The documentary logging problem
A feature documentary might shoot 100–500 hours of interviews, b-roll, and verité footage. Logging this manually takes weeks. Editors inherit spreadsheets with incomplete notes, or worse, no notes at all. Finding a specific quote means scrubbing through hours of timeline.
Reelback replaces manual logging with AI-powered video search. Upload your footage and every word is transcribed, every face is detected, and everything becomes searchable in plain English.
How documentary teams use Reelback
Search interviews by dialogue
Type a phrase or topic and Reelback returns every moment where it was discussed, timecoded to the word. No more searching transcripts in Word docs.
Find every appearance of a subject
AI face detection tracks subjects across all your footage. Search by person to see every clip of them — across shoots, across projects.
Export selects to your NLE
Found what you need? Export timecoded selects as EDL, FCPXML, or CSV directly into Premiere, Resolve, or Final Cut Pro.
Search archival footage
Reelback indexes old footage too. Upload your archive and make decades of material searchable by face and transcript.
Not a review tool. Not a DAM.
Reelback is not Frame.io. It's not a digital asset manager. It's a search engine for your footage that sits alongside your existing workflow. Upload, search, export selects, edit in your NLE. Reelback handles the finding. You handle the storytelling.
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Search your documentary footage live.
Book a 15-minute demo and we'll search your actual footage in front of you.