Text2Movie

The film language each AI video model's docs let you write

REC 24 models · 6 points · 28 camera words · read 2026-09-25

How much film language each AI video model understands

A register of 24 AI video models and tools and what their own documentation lets you write about the camera: moves, shot sizes, several shots in one clip, start and end frames, negative prompts and motion settings, with 28 camera words traced to the docs that use them. As of 2026-09-25.

1The slates

One slate per model, in alphabetical order. The six cells along the bottom follow the order of every model page, MOV for camera moves, FRM for framing, CUT for cuts, FRS for frames, NEG for negative prompt and MOT for motion amount, and are lit where the maker's own docs cover the point. The foot of each slate counts the camera words its docs use.

2The camera words, by how many docs use them

Each bar is the share of the 24 models whose docs define the word, list it as a command or preset, or use it in an example prompt. The most widely used reach 10 models; the rarest, two.

  1. close-up10
  2. handheld9
  3. pan9
  4. tilt9
  5. zoom9
  6. dolly7
  7. medium shot7
  8. orbit or arc7
  9. static shot7
  10. tracking shot7
  11. low angle6
  12. aerial shot5
  13. crane5
  14. push-in5
  15. wide or long shot5
  16. bird's-eye view4
  17. dolly zoom4
  18. high angle4
  19. bullet time3
  20. establishing shot3
  21. over-the-shoulder shot3
  22. point of view3
  23. pull-out3
  24. dutch angle2
  25. pedestal2
  26. shallow focus2
  27. truck2
  28. whip pan2

3How many models cover each point

Models whose docs cover each pointCounted from the register. A point the docs skip, advise against or hide behind a sign-in is not counted.Models whose docs cover each pointHow a camera move is asked for2121Shot sizes and angles in the docs1212Cuts inside one generation77Start and end frames2121A negative prompt66A setting for how much the picture moves66
Fig. 1 Counted from the register. A point the docs skip, advise against or hide behind a sign-in is not counted.

Inclusion rule. The 24 models on the register; a point counts when the maker's docs describe it. Order. The order the points take on every model page.

4Why the docs, not the demos

A demo shows what a model did once. The docs say what a user can ask for: which words the model has been taught, which settings exist, which inputs it takes. For directing a scene, that is the part that decides whether a close-up or a dolly move can be requested at all or has to be hoped for.

Every reading here is quoted from the maker's own prompt guide, API reference or product page, and dated.

5What stands out

Nearly every model says how to ask for a camera move, and most take a start and end frame in some form. Fewer define shot sizes, fewer still say one generation can hold several shots, and only a handful document a negative prompt or a setting for how much the scene moves.

6Where to roll from

Start from a model if you already use one, from a camera word if you want to know which models understand it, or from a shot question when you have a scene to direct.

  • Video models — 24 AI video models read in their own docs…
  • Data — Every reading Text2Movie took from AI video model docs, in one CSV file
  • Camera controls — Four pages on the tools people search when a shot has to be directed…
  • Camera fields — Each camera point across all 24 models, with single-model pages where the docs say more
  • Camera words — Pan, dolly, orbit, close-up and more…
  • Model pairs — Two models' docs set side by side on the six camera points, with the differences quoted
  • Shot questions — Directing questions about AI video shots, answered with the models whose own docs cover them
  • Directing notes — Short notes on writing camera language for AI video models, grounded in their docs