5 Workflows FrameQuery Unlocks for Video Teams
From finding B-roll in seconds to building searchable archives, here are five ways teams are planning to use FrameQuery in their daily work.
We have been talking to video editors, producers, and content teams during our early access phase. The same workflows keep coming up. These are the five most requested.
1. "Find me every shot of the product"
The classic request from a producer or client. Without FrameQuery, this means either having meticulous logs or scrubbing through every clip manually.
With FrameQuery, you search "product" or "product on table" and get every matching moment across every video in your library, ranked by relevance. Object detection handles this automatically during processing.
2. Pull selects from interviews
You shot three hours of interviews across five cameras. The client wants "every time someone mentions the rebrand."
Search the transcript. Every mention comes back with timestamps. Click to preview. Export your selects as FCPXML and drop them straight into your NLE timeline.
3. Build a searchable stock footage archive
Production companies accumulate terabytes of footage over years. Most of it is effectively lost because nobody remembers what is on that drive from 2019.
Process your back catalog with FrameQuery and suddenly it is all searchable. "Sunset over city," "crowd at concert," "close-up hands typing." Your archive becomes a private, searchable stock library.
4. Locate specific people across footage
"Which clips have the CEO in them?" Face recognition clusters appearances across all your footage, so searching by person works even across different cameras, angles, and lighting conditions.
No need to manually tag anyone. FrameQuery detects and clusters faces automatically.
5. Share indexed footage with your team
You processed your footage and built an index. Now your editor, colourist, and producer all need to search it. With index sharing, everyone can search the same library without re-processing.
The shared index is lightweight. Your team downloads just the index, not the video files. Search remains fast and local on their machines.
These are the starting points. We are building FrameQuery to be the search layer that video has always been missing. Join the waitlist to get early access.