Text2Movie

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

Kling AI beside Google Veo, point by point

The docs of Kling AI and Google Veo part on 3 of the six camera points: framing, cuts and negative prompt. They read alike on camera moves, frames and motion amount. As of 2026-09-25.

What the two sets of docs coverLit: the docs cover it. Dark: they do not.What the two sets of docs coverKling AIGoogle VeoHow a camera move is asked forHow a camera move is asked for — Kling AI: Words in the promptHow a camera move is asked for — Google Veo: Words in the promptShot sizes and angles in the docsShot sizes and angles in the docs — Kling AI: Shown in examplesShot sizes and angles in the docs — Google Veo: Defined in a glossaryCuts inside one generationCuts inside one generation — Kling AI: Several shots per clipCuts inside one generation — Google Veo: Editing terms onlyStart and end framesStart and end frames — Kling AI: First and last frameStart and end frames — Google Veo: First and last frameA negative promptA negative prompt — Kling AI: None in the docsA negative prompt — Google Veo: A negative prompt fieldA setting for how much the picture movesA setting for how much the picture moves — Kling AI: None in the docsA setting for how much the picture moves — Google Veo: None in the docs
Fig. 1 Lit: the docs cover it. Dark: they do not.
Kling AI and Google Veo, reading by field, read 2026-09-25.
FieldKling AIGoogle Veo
How a camera move is asked forWords in the promptWords in the prompt
Shot sizes and angles in the docsShown in examplesDefined in a glossary
Cuts inside one generationSeveral shots per clipEditing terms only
Start and end framesFirst and last frameFirst and last frame
A negative promptNone in the docsA negative prompt field
A setting for how much the picture movesNone in the docsNone in the docs

Inclusion rule. The six points every model on the register is read on. Order. The order the points take on every model page.

1How the two differ

Kling AI reads “Several shots per clip” on cuts inside a clip, while Google Veo reads “Editing terms only” on cuts inside a clip. Only Google Veo documents a negative prompt field. Kling AI's docs use 10 of the site's camera words and Google Veo's use 25, sharing pan, tilt, zoom and orbit or arc.

2The differing points, in the docs' words

Shot sizes and angles in the docs

Frontal medium shot, tracking backward in front of the motorcycle

Kling AI, VIDEO 3.0 model user guide

Close-up : frames the subject tightly, typically focusing on the face to emphasize emotions or a specific detail.

Google Cloud, Veo video prompt guide

Cuts inside one generation

VIDEO 3.0 will automatically plan scene transitions, shot framing, and camera angle changes based on the prompts.

Kling AI, VIDEO 3.0 model user guide

You can use cinematic terms for editing style and specific techniques.

Google Cloud, Veo video prompt guide

A negative prompt

Kling AI: the docs read do not cover this.

Negative prompts are a tool that helps specify the elements that you don't want generated in your video.

Google Cloud, Veo video prompt guide

3Kling AI, Google Veo and a third set of camera docs

On the camera points where Kling AI and Google Veo part, what SceneMixer's guides say, read 2026-10-13.
Camera pointSceneMixerSource
Shot sizes and angles in the docsEach numbered shot in a segment carries a framing change, written by the storyboard stepSceneMixer, AI storyboard generator page
Cuts inside one generationA segment holds several numbered shots and its length is the sum of themSceneMixer, AI storyboard generator page
A negative promptNegative wording is advised against: the guide says to describe what is there, because a named absence tends to be drawnSceneMixer, say what is there guide

Inclusion rule. Points where the two models above differ and SceneMixer's guides say something; points its guides leave open are not shown. Order. The order the points take on every model page.

4More on the reel