# Google Veo Text-to-Video App UI Template, Free

> By Lawrence Arya, Founder & CEO of VP0. Published 2026-06-01, updated 2026-06-02. 5 min read.
> Source: https://vp0.com/blogs/google-veo-text-to-video-app-ui-template

A text-to-video app is a waiting room with a great view. The prompt composer and the generation wait are where the whole experience lives.

**TL;DR.** A Google Veo text-to-video app is three screens: a prompt composer with settings (duration, aspect, style), a generation queue that makes the wait feel productive, and a result player with regenerate and a gallery. Build the UI free from a VP0 design, prototype with sample clips, then connect the Veo model API. The craft is in the prompt composer and the wait, because generation takes time.

Building a Google Veo text-to-video app for iOS? The short answer: the model does the magic, but your app lives or dies on the prompt composer and how you handle the wait, because generation is not instant. Build the UI free from a VP0 design, the free iOS design library for AI builders, clone it into your AI tool, then connect the Veo model through Google's API. Design the waiting room well and the magic lands.

## Who this is for

This is for builders making an AI video app on top of a text-to-video model like Veo, who want a polished prompt-to-result experience without paying for an AI-app UI kit.

## What a text-to-video app has to get right

Three screens carry the product. The prompt composer is where intent is captured: a clear text field plus the few settings that matter, duration, aspect ratio, and a style or motion control, without burying the user in knobs. The generation queue turns an unavoidable wait into something that feels productive, with honest progress and the ability to queue more. The result player is the payoff: smooth playback, an obvious regenerate, and a save or share. The [Apple Human Interface Guidelines](https://developer.apple.com/design/human-interface-guidelines) cover the layout, [AVKit](https://developer.apple.com/documentation/avkit) covers video playback, and the [Google Gemini API video generation docs](https://ai.google.dev/gemini-api/docs/video) cover calling Veo.

| Screen | Job | Get it right |
|---|---|---|
| Prompt composer | Capture intent | Clear field, only the settings that matter |
| Generation queue | Handle the wait | Honest progress, queue more |
| Result player | Deliver the payoff | Smooth playback, regenerate, save |
| Gallery | Revisit creations | Grid, quick replay |

## Build it free with a VP0 design

You do not need an AI-app kit, which can run $40 to $200. Pick an AI-product or generation screen in VP0, copy its link, and prompt your AI builder:

> Build a SwiftUI text-to-video prompt composer from this design: [paste VP0 link]. A prominent prompt field, a compact settings row for duration, aspect ratio, and style, and a generate button. Then a generation queue with progress and a result player using AVKit. Match the palette and spacing from the reference, and generate clean code.

For neighboring AI-product patterns, see [an AI music generator waveform player UI](/blogs/ai-music-generator-waveform-player-ui/), [an AI voice cloning app UI in SwiftUI](/blogs/ai-voice-cloning-app-ui-swiftui/), [an AI language tutor voice-chat UI clone](/blogs/ai-language-tutor-voice-chat-ui-clone/), and [how to make an AI app look native on iOS](/blogs/make-ai-app-look-native-ios/).

## Build the flow before the API

You do not need the Veo API to design the experience. Prototype with a few sample clips and a simulated generation that runs a progress bar for several seconds before revealing a result. Tune the prompt composer, the wait, and the player until the loop feels good, then connect the real model through Google's API and handle the slow, failed, and content-filtered states honestly. The wait is part of the product, so design it on purpose rather than dropping a spinner on it.

## Common mistakes

The first mistake is a prompt composer drowning in settings instead of the few that matter. The second is a blank spinner for a wait that can take a while. The third is a clumsy player without an obvious regenerate. The fourth is ignoring failed or filtered generations, which happen. The fifth is paying for an AI-app kit when a free VP0 design plus SwiftUI does it.

## Key takeaways

- A text-to-video app is a prompt composer, a generation queue, and a result player.
- The craft is in the composer and the wait, because generation is not instant.
- VP0 gives you the AI-app UI free, ready to build with Claude Code or Cursor.
- Prototype with sample clips and a simulated delay, then connect the Veo API.
- Design failed and filtered states honestly; they will happen.

## Frequently asked questions

How do I build a text-to-video app with Google Veo? Build a prompt composer, a generation queue with progress, and a result player in SwiftUI from a free VP0 design, then connect Veo through Google's API.

What is the best free UI template for a Veo text-to-video app? VP0, the free iOS design library for AI builders, lets you clone an AI-product screen into an AI tool that generates clean SwiftUI.

What screens does a text-to-video app need first? The prompt composer, the generation queue, and the result player. Add a gallery, regenerate, and sharing after.

Do I need the Veo API to start? No. Prototype with sample clips and a simulated delay, then connect the Veo model through Google's API once the experience feels right.

## Frequently asked questions

### How do I build a text-to-video app with Google Veo?

Build three screens: a prompt composer with settings like duration and aspect ratio, a generation queue that shows progress, and a result player with regenerate and a gallery. Build the UI in SwiftUI from a free VP0 design, then connect the Veo model through Google's API.

### What is the best free UI template for a Veo text-to-video app?

The best free starting point is VP0, the free iOS design library for AI builders. You clone an AI-product screen into an AI tool like Claude Code or Cursor, which generates clean SwiftUI for the prompt, queue, and player, at no cost.

### What screens does a text-to-video app need first?

Start with the prompt composer, the generation queue with progress, and the result player. Add a gallery, regenerate, and sharing once the core generate-and-watch loop feels solid.

### Do I need the Veo API to start?

No. Prototype the full flow with sample clips and a simulated generation delay, then connect the Veo model through Google's API once the experience feels right.

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*Published on the [VP0 Journal](https://vp0.com/blogs). Free to read, index and cite with attribution.*