How to Make an AI Video From Text
To make an AI video from text, you write a prompt describing the subject, action, camera move and lighting, then a text-to-video model like Kling 3, Veo, Sora or Runway renders it into a short clip — often via a still image first for tighter control.
June 16, 2026
To make an AI video from text, you write a prompt that describes the subject, the action, the camera move and the lighting, then a text-to-video model renders it into a short clip — and for tighter control, many creators generate a still image first and animate that. The whole process takes a couple of minutes once you know what to put in the prompt.
How text-to-video works
A text-to-video model is trained on huge amounts of footage so it can predict how a described scene should move. You type something like "a coffee cup steaming on a windowsill, slow push-in, warm morning light," and the model produces moving frames that match. There are two routes to get there:
- Direct text-to-video — the model goes straight from your words to a clip.
- Text-to-image-to-video — you generate a still first, then animate it. This gives you a chance to lock the composition before adding motion.
The second route is popular because you control exactly how the frame looks before committing to movement. That image-to-video step is the heart of our image-to-video complete guide.
Pick a model for the job
In 2026 there are several strong text-to-video models, and the best one depends on what you are making:
| Model | Known for |
|---|---|
| Kling 3 | Cinematic motion, native 4K, strong value per second |
| Google Veo | Photorealism and prompt adherence |
| Sora | Imaginative, longer narrative scenes |
| Runway | Fast iteration and creative control tools |
None is universally "best." We line them up side by side in best AI video generators in 2026. eaxy uses Kling 3 — the latest video model — for its mix of cinematic quality and cost-efficiency, which matters when you generate a shot several times before it lands.
Write a prompt that actually moves
Static-image prompts describe a frozen moment. Video prompts also need motion and time. A good text-to-video prompt names four things:
- The subject — who or what is in the shot.
- The action — the single thing that happens.
- The camera — dolly-in, pan, orbit, handheld or static.
- The light and mood — golden hour, neon, candlelit, overcast.
Put together: "A red fox trotting through a snowy forest, slow tracking shot from the side, soft overcast light, calm and cinematic." That beats "a fox video" every time, because the model has a clear instruction for both the scene and the movement.
A fast workflow from text to finished clip
Here is the loop most creators settle into:
- Write the prompt with subject, action, camera and mood.
- Generate a still first (optional but recommended) and pick the strongest frame.
- Animate it with a short motion instruction, or run direct text-to-video.
- Generate a few variations — motion is unpredictable, so options help.
- Pick the best clip and export at your target resolution.
- Stitch clips in an editor if you need a longer sequence.
Keeping one clean action per clip is the single biggest quality lever. Three things happening at once almost always produces a messy result; one clear motion looks polished.
Tips that consistently improve results
- Start from a sharp still. For image-to-video, a well-composed, in-focus source frame produces noticeably better motion.
- Name the camera move. Models respect explicit moves; leave it out and you get random drift.
- Lean on lighting. Golden hour, neon and candlelight carry most of the cinematic feel.
- Match the aspect ratio to the platform. Generate vertical for reels and shorts, wide for YouTube.
- Iterate one variable at a time so you learn what each word changes.
Making your first AI video
You do not need a separate model account or any technical setup. In eaxy you write a prompt or upload an image, pick from 30+ style packs, generate a still, then bring it to motion with Kling 3 — with exports up to 4K and a commercial license on Pro and above. The fastest way to understand text-to-video is to make one: start creating and turn your first prompt into a moving clip in a couple of minutes.
The short answer
Describe the subject, action, camera move and lighting in your prompt; optionally generate a still first for control; then let a model like Kling 3 render it into a short clip, and stitch clips for longer pieces. Keep one idea per shot, name your camera move, and iterate — that is the whole craft of making AI video from text.
Frequently asked questions
Can you really make a video from just text?+
Yes. Text-to-video models turn a written prompt into a moving clip. You describe the scene, the action and the camera, and the model generates the footage. Many creators get sharper results by generating a still image first, then animating it.
How long can an AI video be?+
Most current models produce short clips — often 5 to 15 seconds per generation. Kling 3, for example, generates up to 15 seconds at native 4K. You stitch several clips together for longer pieces.
Which model is best for text-to-video?+
It depends on the job. Kling 3 is strong on cinematic motion and value, while Veo, Sora and Runway each have strengths. There is no single winner — we compare them in our video generators guide.
Do I need editing software?+
Not to make a single clip. For multi-shot videos you will want to trim and sequence clips in an editor. eaxy handles generation end to end so you can focus on the creative direction.
Why does my video look off?+
Usually the prompt asks for too much at once. Keep one clear action per clip, name the camera move explicitly, and start from a strong still for image-to-video. One idea per shot animates far better.
Make it with eaxy
Describe anything and generate stunning images in seconds — then bring them to motion with Kling 3.