Motion fieldnotesOpenAI film study
Typography · Rendered draft

Type a four-word title on, one word per beat, stepping down and around a centred phone

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

01 / OpenAI source 0:00.0–0:03.3 · Silent research excerpt
02 / Remotion draft Original illustrated content · Editable code

What the source does

A hand holds a phone with a blank chat screen against a dark room with warm light streaks; a fingertip hovers near the composer. Large white words type on character by character in a staircase: 'Use' at upper left (local ~7-11), 'images' below it (~16-20), 'with' to the right of the phone lower down (~25-31) and 'Voice' bottom right (~35-39). The four words hold; at ~64-72 a soft lilac orb blooms on the phone screen, and the shot cuts away at master frame 83.

Word-per-beat staircase title: each word types on with a fast per-character reveal at its own fixed position, stepping diagonally around a device so the copy frames the product instead of covering it.

Phase notes

  1. Frame 0 — Phone, no copy
  2. Frame 7 — Word 1 types on
  3. Frame 16 — Word 2
  4. Frame 25 — Word 3
  5. Frame 35 — Word 4, title complete
  6. Frame 64 — Orb blooms on screen

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 ↗