Text to Video AI: A Practical Guide

Text-to-video tools are unusually sensitive to how you write the input. The same tool, given the same subject, will produce something usable or something unwatchable depending almost entirely on how the prompt is structured. This is a guide to writing the input.

Prompts and scripts are different inputs

A prompt describes what you want and lets the system write the script. A script is the narration itself, which the system segments and illustrates.

Use a prompt when you are exploring — when you do not yet know what the video should say. Use a script when you know exactly what needs to be said, which is most of the time for anything commercial. Scripts give you control over the words, and the words drive everything else.

The common mistake is writing something in between: a half-script that reads like notes. The system cannot tell whether to speak it verbatim or expand it, and the result is usually worse than either.

Write for the ear, then for the eye

Narration is heard, not read. Sentences that scan fine on a page — subordinate clauses, parentheticals, long noun phrases — fall apart when spoken.

Read the script out loud. Anywhere you run out of breath, add a full stop. Anywhere you stumble, rewrite. This single pass improves the finished video more reliably than any settings change.

Then check it for pictures. Each sentence should suggest something visible. Compare:

Our platform leverages advanced technology to deliver superior outcomes for our clients.

A designer opens a laptop in a quiet studio. On screen, a finished video renders in under a minute.

The first sentence has nothing to show. The scene generator will produce something generic because generic is all it was given. The second describes a shot.

Be specific about the things that matter, vague about the rest

Specificity is not uniformly good. Over-specifying fights the model; under-specifying gives it nothing.

Worth specifying: subject, setting, time of day, camera distance, mood, and any object that must appear. These are the things a viewer would notice getting wrong.

Usually not worth specifying: exact lens, precise colour values, fine compositional detail. These tend to be ignored or interpreted loosely, and crowding the prompt with them dilutes the parts that do get used.

A useful test: if you would not mention it when briefing a human videographer over the phone, do not put it in the prompt.

Choose the style once

Style — cinematic, photorealistic, anime, abstract — changes how every scene is interpreted: lighting, colour, motion character, level of detail.

Pick it before you generate, and keep it for the whole video. Visual coherence across scenes is the single strongest signal separating video that looks deliberate from video that looks assembled. A style change mid-video reads as an error even when each individual scene is good.

Structure by length

Different lengths need genuinely different structures, not the same structure scaled.

Under 60 seconds (short-form). Lead with the strongest line. There is no runway — retention in the first second determines whether the platform shows the video to anyone else. Make one point. Cut every sentence that is not that point. See the guide to making YouTube Shorts with AI.

One to three minutes. You have a few seconds of grace to set up context. Still one core idea, but you can support it with two or three sub-points. This is the right length for most explainers.

Over three minutes. Now structure matters more than any individual scene. Signpost explicitly — tell the viewer what is coming, deliver it, and mark the transition. Long-form viewers leave at predictable points, and the fix is structural, not visual. The long-form generator is built for holding consistency across this length.

Consistent characters

If a person recurs across scenes, they need to be locked. Generating "a woman in a red jacket" twice produces two different women, and a viewer notices immediately.

Where a tool offers character consistency, use it for anything with a recurring narrator, mascot, or protagonist. Where it does not, write around the problem: keep recurring people off-screen, use narration over environment shots, or accept that each scene stands alone.

Five mistakes that account for most bad output

1. Writing for the page. Long sentences, clause pile-ups, and written-register vocabulary. Read it aloud.
2. Abstract nouns. "Innovation", "solutions", "excellence" cannot be filmed. Replace with things.
3. Too much script for the target length. A sixty-second video is roughly 130–150 spoken words. Most people write triple that and then wonder why it feels rushed.
4. Switching style mid-video. Pick one treatment and hold it.
5. Using generated footage for something stock does better. If the shot could plausibly have been filmed, stock will look better and cost less.

A workflow that works

1. Write the script in short spoken sentences. Aim for roughly 140 words per minute of target length.
2. Read it out loud. Fix anything you stumble on.
3. Check each sentence suggests a picture. Rewrite the ones that do not.
4. Pick a generation method to match the content — stock for filmable, stills for narration-led, generated video for real motion.
5. Pick one style. Do not change it.
6. Generate a short test before committing to the full length. Credits spent on a thirty-second test are cheaper than regenerating a five-minute video.

Start with a test

The fastest way to calibrate is to generate the same forty-second script twice, changing exactly one thing. Try it on the AI video generator, or read how AI video generation actually works for what each stage is doing with your input.