FrameQuery automatically detects scene boundaries during indexing, generating thumbnails, natural-language descriptions, and object lists for every scene. Search by scene content today. Multi-camera scene grouping and automatic take tagging are coming soon.
Multi-camera and clapperboard detection coming soon.
Works with
your workflow.
Exports to your NLE. Reads cinema RAW natively.
When you add a source folder, FrameQuery analyses every video frame by frame. Scene boundaries are identified automatically and each scene is tagged with searchable metadata.
Exterior establishing shot of office building at dawn, cars in parking lot.
Interior conference room, two people seated at table reviewing documents.
Hands typing on laptop keyboard, screen showing graphs and charts.
Sarah presenting at whiteboard, drawing product timeline diagram.
When multiple cameras were rolling on the same scene, FrameQuery matches their audio waveforms to detect the overlap. Overlapping clips are grouped together with frame-accurate timecode offsets.
A001_SC04_WIDE.mov
TC 14:22:08:10
B001_SC04_MED.mov
TC 14:22:08:12
C001_SC04_CU.mov
TC 14:22:08:08
Override AI feature settings per source folder.
Enable scene detection on one source while disabling it on another.
Useful when you have mixed content (raw production footage vs. screen recordings) that needs different treatment.
FrameQuery detects clapperboards in your footage and reads the scene number, take number, roll, and camera data written on the slate. Takes are grouped automatically under their scene. See our roadmap.
Detected Clapperboard
Auto-Grouped Takes
Scene 14
3 takes detected from slate data
A014_C003_0312.mov
14:22:08:10
A014_C002_0312.mov
14:18:31:04
A014_C001_0312.mov
14:12:55:22
How scenes are detected, what each one includes, and what is coming next.
Scene boundaries, thumbnails, descriptions and object lists for every scene, generated during indexing.
Multi-camera and clapperboard detection coming soon.
