How to Generate Videos With Veo 3 (Step-by-Step Guide)

Veo 3 is Google's text-to-video model. You describe a shot, it generates video with synchronised audio. This guide covers what actually matters: getting access, structuring prompts that work, and avoiding the mistakes that burn through credits.

Where to access Veo 3

There are three routes, and they are not equivalent:

• Google Flow — the dedicated filmmaking interface. Best for shot-by-shot work and scene extension. This is where most serious output happens.
• Gemini app — included with Google AI Pro and Ultra plans. Convenient, fewer controls.
• Vertex AI — API access for programmatic generation. Relevant if you are building a product on top of it.

For creators making content, Flow is the practical answer. The Gemini route is fine for experimenting.

Anatomy of a Veo 3 prompt

The single biggest quality jump comes from treating the prompt as a shot description, not a wish. A weak prompt names a subject. A strong prompt specifies six things:

1. Subject — who or what, with concrete visual detail.
2. Action — what happens across the duration of the clip.
3. Camera — shot size and movement. "Slow dolly in", "handheld tracking shot", "locked-off wide".
4. Setting — location and time of day.
5. Lighting — "golden hour backlight", "harsh overhead fluorescent", "soft window light".
6. Audio — Veo 3 generates sound. If you do not specify it, you get whatever the model infers.

Compare these two:

A woman drinking coffee in a cafe.

Medium close-up, slow push in. A woman in her thirties sits by a rain-streaked cafe window, both hands around a ceramic mug, steam rising. Overcast afternoon light from camera left. Shallow depth of field. Ambient audio: rain on glass, distant espresso machine, low murmur of conversation.

Same subject. The second one produces a usable shot.

Dialogue and audio

Veo 3's native audio generation is the feature that separates it from earlier models. To get spoken dialogue, put the line in quotes and attribute it clearly:

The barista leans over the counter and says, "We're out of oat milk again."

Two things to know. Describing an accent or tone in plain language works better than phonetic spelling. And keeping dialogue to one or two short lines per clip avoids the lip-sync drifting, because you are working inside an eight-second window.

What Veo 3 is good at

Realistic human motion, natural physics, environmental audio, and coherent camera movement. It handles water, fabric, hair and crowds noticeably better than previous generations.

What it struggles with

• On-screen text — expect garbled lettering. Add text in post.
• Precise counts — "exactly five birds" is a suggestion, not an instruction.
• Character consistency across clips — without a reference image, the same described person will drift between generations.
• Long continuous action — clips are short. Plan in shots, not scenes.

Mistakes that waste credits

Regenerating an unchanged prompt. If the output is wrong, change the prompt. Rerolling the identical text mostly gives you the same problem again.

Stacking too many subjects. Each additional element multiplies the chance of an artefact. One clear subject, one clear action.

Ignoring aspect ratio. Set vertical up front if the output is destined for TikTok or Reels. Cropping a landscape generation throws away the framing you paid for.

Vague camera language. "Cinematic" means nothing to the model. "35mm, shallow depth of field, slow dolly in" means something specific.

A workflow that holds up

1. Write the shot list first, in plain language, before touching the tool.
2. Generate one test clip at low effort to check the concept reads.
3. Fix the prompt — do not reroll it unchanged.
4. Generate the real version once the framing and lighting are landing.
5. Assemble and add text, music and cuts in an editor.

The prompt is the deliverable. Once you have one that works, it is reusable across dozens of variations — which is exactly why keeping a library of them is worth the effort.