How to Make AI Videos from Text (2026 Guide).

To make an AI video from text, write a prompt describing the shot, pick a text-to-video model, set the length and aspect ratio, generate, then add a voiceover and captions. That is the whole loop. The hard part is writing prompts that produce a usable clip on the first or second try, which is most of what this guide covers.

Below is the exact process we use at the getvivix studio, from a blank text box to a finished, captioned video ready to post.

What you need

• A free getvivix account (30 credits on signup, 30 more dropped daily, no card)
• A one-line idea for a 5 to 10 second shot
• Optional: a short script if you want narration

Step 1: Write a prompt that actually renders

A text-to-video model reads your prompt literally. Vague in, vague out. The pattern that works is subject + action + setting + camera + style.

Weak prompt:

"a dog running"

Strong prompt:

"A golden retriever sprints across a wet beach at sunrise, water spraying behind its paws, low tracking shot, warm cinematic light, shallow depth of field"

Four rules that move quality the most:

• Name the camera move."Slow push in," "orbit," "static wide" — models that get a camera instruction stay far more stable.
• Describe light, not just objects."Soft window light," "neon at night," "overcast" changes the whole frame.
• One main action. Two actions in one 5-second clip usually produces a mess. Split them into two generations.
• Skip negatives early."No people" often summons people. Describe what you do want instead.

Step 2: Choose a model

The model matters more than the prompt once your prompt is decent. Each one has a personality. Here is the short version of when to reach for which.

Open getvivix Text-to-Video, pick a model, and the exact credit cost shows before you click generate. Because every model lives in one place, you can run the same prompt through Veo and Kling and keep whichever wins, instead of paying for two separate subscriptions to compare them. See the full model list if you want the catalog.

Step 3: Set length, aspect ratio, and generate

Most models render 5 to 10 seconds per clip. Pick your aspect ratio up front: 9:16 for TikTok, Reels, and Shorts; 16:9 for YouTube and the web; 1:1 for feed posts. Generating native at the target ratio beats cropping later, since cropping throws away half the frame.

Hit generate. A fast model returns in around 30 to 60 seconds. If the result is close but not right, change one thing in the prompt and rerun. Changing five things at once tells you nothing about what helped.

Step 4: Start from an image for tighter control (optional)

Text-to-video gives the model freedom, which is great for ideation and frustrating when you need an exact look. For brand colors, a specific character, or a precise composition, generate a still first with an AI image generator, then animate it with image-to-video. You lock the frame, then the model only has to handle motion. This is the reliable path for product shots and anything that has to stay on-brand.

Step 5: Add a voiceover

Veo and Sora can produce native audio, but for narration you control, do it separately. Write the script, then run it through an AI voice generator to get a clean track in the voice and language you want. Layer that over the silent clip and nudge the timing so the words land on the visuals.

getvivix runs in English, Arabic, and Chinese, so you can narrate the same video in three languages without re-shooting anything.

Step 6: Burn in captions

Most short video gets watched with the sound off, so captions are not optional if you want watch time. Drop your rendered clip into the caption maker: it transcribes the audio, times every word, and lets you pick a style before exporting with the text burned in. For vertical platforms specifically, the Shorts maker handles the 9:16 export.

Stitching clips into something longer

A 5-second cap sounds limiting until you treat clips like shots in an edit. Plan three or four shots that share a subject and a lighting style, generate each, then sequence them. Reusing the same descriptive phrases across prompts keeps the look consistent so the cuts feel deliberate rather than random.

Frequently asked

How do you make an AI video from text?

Write a prompt describing the shot, pick a text-to-video model (Veo, Sora, Kling, Seedance, or Wan), set the aspect ratio and length, then generate. Add a voiceover and burned-in captions after the clip renders.

What is the best AI model for text-to-video?

There is no single best model. Veo and Sora are strongest for cinematic shots and native audio, Kling for human motion, Seedance for fast iteration, and Wan for cheap drafts. Trying several on the same prompt usually beats committing to one.

Can I make AI videos from text for free?

Yes. getvivix gives 30 credits on signup plus 30 dropped daily with no card, which is enough to test prompts and render short clips. Free tiers on single-model sites are usually more limited.

How long can a text-to-video clip be?

Most current models render 5 to 10 seconds per generation. For longer videos you stitch several clips together, keeping the prompt and style consistent so the cuts feel intentional.

Can I use AI videos made from text commercially?

On getvivix, paid plans include a commercial-use license, so you can use renders in ads, client work, and monetized content. Always check the license terms of whatever tool you use before publishing.

How do I add a voiceover to my AI video?

Some models (like Veo) generate native audio. For narration you control, write your script, run it through an AI voice generator, then layer that track over the silent clip and time it to the visuals.

Make your first one tonight

Open Text-to-Video and turn one sentence into a clip. The free tier covers several generations, so you can find a prompt and model that work before you pay anything. Compare plans on the pricing page when you are ready to license your output.