01
Search by intent
Ask for reactions, close-ups, reactions, silence, or phrase context.
Search locally
The discovery moment happens before the timeline, and editors should not lose time getting there.
Product preview
Query
speaker says "we launch tonight" while the crowd reacts
Speech
Find spoken lines in transcripts and jump to exact moments.
Visual
Match scene descriptions and visual context in your footage.
People
Filter results where detected people appear.
Short answer
The discovery moment happens before the timeline, and editors should not lose time getting there.
Ask for reactions, close-ups, reactions, silence, or phrase context.
Test alternatives quickly without leaving your creative flow.
Go from result to timeline-ready moment without manual scavenging.
The friction
The discovery moment happens before the timeline, and editors should not lose time getting there.
How Focus helps
With local speech and scene search, the editor retrieves candidates as quickly as they are imagined.
Ask for reactions, close-ups, reactions, silence, or phrase context.
Test alternatives quickly without leaving your creative flow.
Go from result to timeline-ready moment without manual scavenging.
Where the first gain comes from
Focus discovery-first flow
FocusLegacy hunting model
How it works
A shorter path from footage to the next useful action.
01
Build a local index of speech, scenes, and faces first.
02
Use natural language prompts to surface exact candidates.
03
Use retrieved moments to begin drafting and editing earlier.
FAQ
Yes, but they should start after retrieval is already solved.
No. It replaces the repeated hunt with focused review.
Yes. Focus ranks and surfaces several close matches.
Ready
Focus gives editors and wedding filmmakers faster retrieval, verified selects, and calmer delivery weeks.