Motion fieldnotesOpenAI film study
Typography · Rendered draft

Land a top and bottom title in two beats, then hold it while the footage hard-cuts every 13 frames

Study the source, inspect the editable build, then adapt the treatment to your own content.

01 / OpenAI source 0:05.8–0:10.2 · Silent research excerpt
02 / Remotion draft Original illustrated content · Editable code

What the source does

A webcam-style speaker shot holds for two frames; a large white first title line pops on across the top of frame (~f2), then a second line pops on across the bottom (~f5). The title then stays fixed while the footage hard-cuts through eight different speakers at roughly 13–14 frame intervals (local ~f11, 25, 39, 52, 66, 79, 93, 107). The type never moves or fades; only the plate beneath it changes.

A locked two-line split title that persists as a constant while the underlying footage jump-cuts on a steady beat.

Phase notes

  1. Frame 0 — Speaker A, no title
  2. Frame 2 — Top line pops on
  3. Frame 5 — Bottom line pops on
  4. Frame 11 — Cut to speaker B; title holds
  5. Frame 25 — Cut C
  6. Frame 39 — Cut D
  7. Frame 52 — Cut E
  8. Frame 66 — Cut F
  9. Frame 79 — Cut G
  10. Frame 93 — Cut H
  11. Frame 107 — Cut back to A

Use this example

  1. Watch the source and draft at normal speed. Compare the order of actions, the held states, and the transition into the result.
  2. Download the project and read its README before changing inputs. The package includes its implementation and declared dependencies.
  3. Replace the sample content through the package's documented input or content builder. Keep source footage in the research comparison.
  4. Render your adaptation and inspect text fit, framing, intermediate states, and entry and exit frames.
A runnable draft is not a fidelity approval.

The source and remake are different assets. The original code-based illustration remains editable; source footage is a research reference. Read the retained findings below before using the choreography.

Recorded limits

  • Visual fidelity is an authored draft judgement from sampled source frames; no independent blind review or native Resolve execution.

Inspect the original verification record ↗