Text to video AI is exactly what it sounds like: you type a description and a model renders footage of it. The leap in the past two years is not just that the clips look real — it is that the best text-to-video models now ship sound in the same generation. A Veo 3.1 clip of a street market arrives with crowd murmur and vendor calls already in place; a dialogue prompt comes back lip-synced.
On Veo AI you run these models directly in the browser. Veo 3.1 and Veo 4 anchor the lineup, with Sora 2, Kling, Hailuo, Wan, Seedance, and 40+ other engines beside them — every generation priced in credits you see before you click, and new accounts start with free starter credits.
This page walks through how the pipeline works, how to structure a prompt so the model obeys it, which model to reach for per shot, and three worked example prompts you can adapt — the fastest way to go from "ai text to video" curiosity to a clip you would actually publish.
How text to video actually works
A text-to-video model is trained on vast paired data of footage and descriptions until it builds an internal model of how the visual world behaves — how liquids pour, how shadows track a moving sun, how a jacket creases when an arm lifts. When you submit a prompt, a language model first interprets your words, then the video model generates the clip to match: motion, camera behavior, lighting, and on audio-capable models the soundtrack, all in one pass.
That single-pass design is why prompt wording matters so much. The model is not assembling stock footage or keyframing an animation; it is imagining the shot from your sentence. Everything you leave unsaid — the camera, the light, the mood — the model decides for you, which is where generic-looking output comes from.
Anatomy of a prompt that works
Reliable text-to-video prompts read like a shot description from a screenplay, not a wish. Five slots cover almost everything; you rarely need more than two or three sentences to fill them.
- Subject: who or what the shot is about, with concrete detail — "a silver-haired barista in a denim apron", not "a person".
- Action: one clear thing happening — pouring latte art, braking at a crosswalk, turning to the camera. One action per clip beats three.
- Camera: how the shot is filmed — "slow push-in", "static tripod", "handheld tracking shot", "aerial orbit". This is the most skipped slot and the biggest upgrade.
- Style: the visual register — "shot on 35mm film", "clean studio commercial", "2D animation", "documentary realism".
- Lighting and mood: "warm golden hour backlight", "neon-soaked night rain", "overcast soft light". Lighting words steer color grading more than any other token.
Which text-to-video models excel at what
Each lab trained for different strengths, and the gaps show. Rather than crowning one winner, match the engine to the shot — and when two seem plausible, run both and compare, since the prompt transfers unchanged.
| Model | Standout strength | Reach for it when |
|---|---|---|
| Veo 4 | Realism + native audio + prompt adherence | The final render has to look filmed |
| Veo 3.1 | Near-flagship quality, friendlier credit cost | Day-to-day production clips |
| Veo 3.1 Lite | Lowest-cost Veo tier, silent output | Testing prompt structure cheaply |
| Sora 2 | Inventive staging and cinematic worlds | Stylized, surreal, or effects-heavy shots |
| Kling | Fluid high-energy motion | Sports, action, dance, fast cameras |
| Hailuo / Wan / Seedance | Speed and volume on a budget | Batches of variants and quick drafts |
Resolutions, durations, and formats
On the Veo family, every generation lets you choose the output shape before spending a credit: 4, 6, or 8-second clips, rendered at 720p or 1080p, in 16:9 widescreen or 9:16 vertical. Vertical output is generated natively rather than cropped, so a 9:16 prompt composes for the tall frame — faces larger, subjects centered — the way platform-native content should.
Eight seconds sounds short until you watch broadcast ads, which cut every two to four. For longer pieces, clip extension continues a finished shot, and first/last-frame keyframes let you dictate where a clip begins and ends — so sequences are built deliberately rather than hoped for. Audio comes native on Veo 3.1 and Veo 4; negative prompts remove elements you keep not wanting; and downloads are watermark-free at full quality at every tier.
Three worked example prompts
1. Product commercial (tests: lighting + camera control)
Prompt: "Macro slow push-in on a matte black wireless earbud rotating on a white marble pedestal, clean studio commercial style, soft diffused key light with a cool rim light, shallow depth of field, gentle electronic ambient soundtrack."
Why it works: the camera verb ("macro slow push-in") and two named lights give the model a complete shot plan, and the style anchor ("clean studio commercial") suppresses documentary randomness. Run it on Veo 4 in 16:9 at 1080p — this is a hero-shot job.
2. Vertical social clip (tests: 9:16 framing + native audio)
Prompt: "Handheld 9:16 selfie-style shot of an excited young chef in a cramped food-truck kitchen holding up a smash burger, steam rising, she says: ‘Okay, this one actually broke the internet,’ lively street-food ambience."
Why it works: it leans on what Veo 3.1 does that older models cannot — lip-synced spoken dialogue plus ambient sound in one pass, composed natively for the vertical frame. The quoted line keeps speech short enough to sync cleanly inside an 8-second clip.
3. Cinematic mood piece (tests: style + atmosphere)
Prompt: "Aerial orbit around a lone lighthouse on a storm-battered cliff at dusk, waves exploding against rocks below, volumetric rain and fog, shot on 35mm film with heavy grain, thunder rumbling under a sparse piano score."
Why it works: atmosphere words ("volumetric rain and fog", "heavy grain") are high-leverage tokens for mood pieces, and the aerial orbit gives constant motion without needing character acting. Compare this one on Sora 2 versus Veo 4 — the stylistic gap between labs is widest on exactly this kind of shot.
From first prompt to publishable clip
A workflow that consistently gets there in a handful of generations: draft the prompt against the five slots above, run it once on a cheap tier like Veo 3.1 Lite to check composition, fix what the model misread — usually by making the action more specific or adding a negative prompt — then render the corrected prompt on Veo 3.1 or Veo 4 with audio for the final.
Because sign-up includes free starter credits and every generation shows its credit price up front, that whole loop typically happens before you have paid anything. No subscription, nothing to install — the generator, your clips, and the full model catalog live in the browser.