Motion fieldnotesOpenAI film study
Layout & layers · Rendered draft

Type a lower third in two columns: name at left, role and affiliation stacked at right

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

01 / OpenAI source 0:22.0–0:25.6 · Silent research excerpt
02 / Remotion draft Original illustrated content · Editable code

What the source does

Three frames of a warm close-up, then a hard cut (~f3) to a wide interview shot in front of bookshelves. From about f4 the interviewee's name types on at the lower-left in small bold white type; from f6 a second column starts typing the role on the same baseline about 230px to the right, and from f10 a second, right-aligned affiliation line types beneath the role. All text is complete by f22 and holds until a cut at f86.

A typewriter lower third laid out as two columns: the name column and a two-line role column type on with overlapping starts, so the block assembles left to right.

Phase notes

  1. Frame 0 — Close-up tail
  2. Frame 3 — Hard cut to interview
  3. Frame 4 — Name types on (left column)
  4. Frame 6 — Role types on (right column, line 1)
  5. Frame 10 — Affiliation types on (right column, line 2)
  6. Frame 22 — 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 ↗