Motion fieldnotesOpenAI film study
Layout & layers · Rendered draft

Type a multi-paragraph prompt caption layered behind the foreground subject

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

01 / OpenAI source 1:11.3–1:19.2 · Silent research excerpt
02 / Remotion draft Original illustrated content · Editable code

What the source does

Seven frames of a soft laptop close-up, then a hard cut (~f7) to a wide office shot with a seated figure at centre-left. Large white caption text is already present: two finished paragraphs at the top and a third paragraph mid-type. The third paragraph continues typing character by character (f7-170), and wherever a line crosses the seated figure the letters are hidden behind her, so words appear to pass behind the subject. The complete caption holds until a cut at f188.

Depth-sorted caption: a type-on text layer is composited behind a matted foreground subject, so the typing reads as living inside the shot rather than on top of it.

Phase notes

  1. Frame 0 — Laptop close-up
  2. Frame 7 — Cut to wide shot; paragraphs one and two already set
  3. Frame 8 — Paragraph three types on behind the subject
  4. Frame 170 — Caption complete, hold

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 ↗