Veo 3 & Veo 3.1 JSON Prompting Guide: Structure, Templates & Examples

Did you know that you can achieve far more accurate outputs with JSON prompting compared to natural language prompts?

Google's Veo family has moved fast. Veo 3 introduced native audio, and Veo 3.1 built on it with sharper prompt adherence, reference images, and better audio-visual quality. What hasn't changed is that the model responds best when you tell it exactly what you want. JSON prompting is how you do that. It lets you control every detail of your video generation process with pinpoint precision.

In this guide, we'll dive into how to make the most of JSON prompting in Veo 3 and Veo 3.1, and how it can be used seamlessly on platforms like ImagineArt.

What is JSON Prompting?

JSON (JavaScript Object Notation) is a widely-used data format that allows for structured, readable, and machine-compatible data exchange. When used in AI video generation, it helps to break down a prompt into key-value pairs that define the components of a video.

Each element, from the scene setting to the audio effects, can be manipulated for a more refined and predictable output. Here's an example of how a JSON prompt might look for Veo 3 and Veo 3.1:

{ "scene": "A lone astronaut stands on the Martian surface, gazing at Earth.", "style": "Cinematic", "camera": "Wide shot, slow zoom-in", "lighting": "Soft, ambient glow", "audio": "Ambient wind, soft electronic hum", "color_palette": "Red and orange hues" }

With this setup, you can specify elements like camera angles, lighting preferences, soundscapes, and even the color tones that the AI should incorporate into the video. By defining these parameters clearly, you increase the chances of generating a video that matches your exact vision.

But remember, JSON does not allow duplicate keys. If you define "scene" twice, only one of them counts, and the model may ignore the detail you cared about most. Always run your prompt through a JSON validator before generating.

Does JSON Prompting Actually Work? An Honest Answer

Here's something most guides won't tell you: JSON is not an official Veo input format. Google's own prompt documentation uses plain descriptive sentences. There is no secret schema the model was trained to parse.

So why does JSON prompting work so well? Three reasons.

First, structure forces specificity. When you have to fill in a "lighting" field, you stop writing "a nice scene" and start writing "soft rim light from the left." The model isn't reading your keys. It's reading your details, and JSON makes you provide them.

Second, JSON front-loads your intent. Veo weighs the early parts of a prompt more heavily. A structured prompt naturally puts the shot, subject, and action up top instead of burying them in a paragraph.

Third, iteration becomes surgical. If the lighting is wrong, you change one field and regenerate. With a prose prompt, every edit risks disturbing something else.

When should you skip JSON? For simple, single-action shots, a clear sentence or two often performs just as well and is faster to write. And keep an eye on length either way. If your prompt runs past roughly 175 words, you're likely overloading the model with competing instructions, and parts of it will get ignored. Structure your prompt, don't stuff it.

Why Use JSON Prompting with Veo 3?

1. Enhanced Consistency

By structuring your prompts into detailed parameters, JSON helps ensure that key elements of your video remain consistent across multiple scenes. Whether you’re working on a long-form video or generating several smaller clips, maintaining consistency is crucial for delivering a coherent narrative.

For example, if you're creating a series of product demos, you can use JSON to specify that the lighting, camera angles, and overall color palette remain the same, giving your project a unified feel. This consistency is particularly useful when dealing with large-scale projects or collaborations.

2. Improved Control

One of the biggest advantages of JSON prompting is the granular control it offers. Instead of leaving the creative decisions to the AI’s interpretation, you dictate the parameters for every visual, sound, and environmental detail. From the camera framing to the background sounds, you can create a specific atmosphere for your video. This is especially useful for professionals in fields like advertising and entertainment, where fine-tuning each element is crucial to capturing the desired effect.

3. Efficiency in Iteration

JSON prompts provide a quick and efficient way to test different versions of a video. If a certain element doesn’t look or sound right, you can easily adjust the prompt to modify the scene. For example, if you’re unhappy with the lighting in a scene, you can tweak the lighting parameter to make the ambiance warmer or cooler. This streamlined process makes it easy to refine your video without needing to start from scratch each time.

The Complete Veo JSON Template

This is the full structure we use in production. You won't need every field for every clip, but knowing what each one does lets you apply them with intent.

{ "shot": { "type": "Medium shot", "lens": "35mm, shallow depth of field", "framing": "Subject centered, full upper body in frame", "movement": "Slow dolly-in" }, "subject": "A woman in her 30s, short dark hair, olive trench coat, calm expression", "action": "She turns a page of an old journal and pauses at a photograph", "scene": "A dim study lined with bookshelves, rain streaking the window behind her", "lighting": "Warm desk lamp as key light, cool blue window light as fill", "style": "Photorealistic, cinematic tone, muted color grade", "audio": { "dialogue": "She whispers: 'I remember this day.'", "sfx": "SFX: paper rustling, rain tapping on glass", "ambient": "Ambient noise: low room tone, distant thunder" }, "color_palette": "Amber and slate blue", "negative_prompt": "text overlays, extra people in the background, harsh shadows", "technical": { "aspect_ratio": "16:9", "duration": "8 seconds" } }

• Shot: Name the shot type, lens feel, framing, and movement. Veo understands classic film language, so "slow dolly-in" beats "camera moves closer."
• Subject and action: Keep one subject and one action per clip. Veo performs best when scenes are atomic. If your idea needs three actions, that's three clips.
• Audio: Follow Google's own conventions here. Put spoken lines in quotation marks, mark sound effects with "SFX:", and define the background soundscape with "Ambient noise:". Separating the three keeps dialogue from bleeding into the sound design.

Negative Prompts: Telling Veo What to Leave Out

Sometimes the fastest way to a clean result is naming what you don't want. Unwanted text overlays, random background extras, and jittery camera motion are the usual suspects.

There's a trick to phrasing it, though. Veo responds better to descriptive exclusion than to flat negation. Instead of writing "no buildings," describe the scene as "a desolate landscape with no buildings or roads." You're painting the absence into the picture rather than issuing a command the model might skim past.

Inside your JSON, keep a running negative_prompt field with the artifacts you see most often:

"negative_prompt": "on-screen text, watermarks, extra limbs, background crowds, lens distortion, abrupt cuts"

Timestamp Prompting: Directing the Clip Second by Second

An 8-second clip has room for a beginning, middle, and end, and Veo 3.1 is good at following timed beats. Instead of describing one static moment, break the clip into segments inside your prompt.

Here's a product reveal structured in beats:

{ "scene": "A premium wireless headphone on a matte black surface in a dark studio", "timeline": [ { "time": "0-3s", "action": "Headphone sits in soft silhouette. Camera holds steady, building anticipation." }, { "time": "3-6s", "action": "A slow side-light sweep reveals form and texture as the camera gently pushes in." }, { "time": "6-8s", "action": "Headphone lands fully in focus in a clean close-up. Camera settles on the final frame." } ], "audio": { "sfx": "SFX: a single low bass hit at the reveal", "ambient": "Ambient noise: subtle synth pad" } }

This works because it mirrors how an editor thinks. You're not asking for "a cool product video." You're handing the model a shot list with timing. The difference shows up immediately in pacing.

Real-World Examples of JSON Prompting

1. Cinematic Storytelling

Imagine you’re creating a short film about a time-traveling detective. Using JSON prompts, you can dictate every element, from the futuristic city skyline to the detective's mood. With consistent character descriptions and scene settings, the AI ensures that each frame reflects your vision for the narrative.

For example:

{ "scene": "The detective stands on a rooftop, looking over a neon-lit city.", "character": "Dark-haired detective wearing a futuristic coat.", "camera": "Wide shot, with a slow pull-back.", "lighting": "Cool blue hues, with neon glows.", "audio": "Wind howling, distant sirens." }

This precision helps maintain continuity, ensuring that your characters and environment look the same throughout the video.

2. Product Showcases

When showcasing a product, the video needs to highlight its features in the best possible light. JSON prompts allow you to customize everything from the camera angles to the background elements. For instance, if you’re demonstrating a new smartwatch, you could create a prompt like:

{ "scene": "A smartwatch spinning slowly on a sleek glass surface.", "style": "Minimalist, with a clean background.", "camera": "Close-up, rotating around the watch.", "lighting": "Soft, clean lighting highlighting the watch face.", "audio": "Subtle electronic beats." }

This prompt ensures that the video will have a polished and professional appearance, suitable for e-commerce or promotional purposes.

3. Viral Social Media Content

Creators on platforms like TikTok and Instagram often require dynamic and entertaining content that can go viral. With JSON prompting, it’s easy to generate fun and quirky videos that align with trends. For example, a prompt for a dog typing on a laptop at a café could look like:

{ "scene": "A dog with glasses is typing on a laptop at a café table.", "style": "Playful, comedic.", "camera": "Close-up on the dog's paws, tapping away.", "lighting": "Bright and cheerful.", "audio": "Upbeat, quirky background music." }

This kind of specificity helps generate the right kind of video that will engage audiences.

4. Dialogue Scenes

Veo 3.1's audio generation is strong enough to carry real conversation, but only if you write the dialogue into the prompt. Give each character a distinct look and put their lines in quotation marks:

{ "scene": "A cramped detective's office at night, blinds half-drawn, a desk lamp glowing", "characters": [ "A weary detective in his 50s, loosened tie, behind the desk", "A woman in a red coat standing in the doorway, composed" ], "camera": "Medium shot on the detective, slow push-in", "audio": { "dialogue": "The detective says: 'Of all the offices in this town, you had to walk into mine.' The woman replies with a slight smile: 'You were highly recommended.'", "ambient": "Ambient noise: rain against the window, a ticking wall clock" }, "style": "Film noir, high contrast, cool shadows with warm lamp light" }

Pair this with reference images of both characters and you can carry the conversation across multiple shots without either of them changing faces between cuts.

5. UGC-Style Ads

The polished look isn't always the goal. For social ads, a casual, handheld feel often converts better. JSON handles this just as well, you simply direct different values:

{ "shot": { "type": "Selfie-style close-up", "movement": "Slight handheld sway", "lens": "Wide, phone-camera look" }, "subject": "A woman in her 20s in a bright kitchen, holding a skincare bottle toward the camera", "action": "She shows the bottle, smiles, and points at the label", "audio": { "dialogue": "She says in an upbeat tone: 'Okay, I've been using this for two weeks and I need to talk about it.'", "ambient": "Ambient noise: quiet kitchen, morning birds outside" }, "style": "Natural lighting, authentic and unpolished, vertical video feel", "negative_prompt": "studio lighting, cinematic color grade, on-screen text", "technical": { "aspect_ratio": "9:16", "duration": "8 seconds" } }

Notice the negative prompt here excludes the cinematic look on purpose. Knowing what to remove is as much a part of directing as knowing what to add.

Shortcut: Let an LLM Write Your JSON

You don't have to hand-craft every prompt. A capable assistant like Gemini, ChatGPT, or Claude can expand a rough idea into a complete, valid JSON prompt in seconds. Paste this meta-prompt and fill in your idea:

You are a Veo prompt engineer. Convert my video idea into a single valid JSON prompt with these fields: shot (type, lens, framing, movement), subject, action, scene, lighting, style, audio (dialogue, sfx, ambient), color_palette, negative_prompt, technical (aspect_ratio, duration). Rules: one subject, one action, under 150 words total, use film terminology, put dialogue in quotation marks, prefix sound effects with "SFX:" and background sound with "Ambient noise:". Return only the JSON.

Add your idea. Review what comes back before you generate. The LLM gives you a strong first draft, but you're still the director. Adjust the fields that matter to your vision, validate the JSON, and run it.

Best Practices for Crafting JSON Prompts

To make the most of your Veo 3 prompts, keep these tips in mind:

• Be Descriptive: The more detailed your descriptions, the better the AI can interpret your vision. Instead of saying "a person in a park," describe their clothing, the time of day, and the season.

• Specify Audio Elements: Include any ambient sounds, music, or dialogue in the prompt. For instance, if you want a peaceful forest scene, specify the sound of birds chirping, wind rustling, and leaves crunching underfoot.

• Use Cinematic Terminology: Terms like "dolly zoom," "bokeh effect," and "golden hour lighting" will guide the AI to create visuals with a high degree of realism and cinematic flair.

• Iterate and Refine: Don’t hesitate to experiment with different settings. Adjusting a single parameter like lighting or color can significantly change the mood of the video.

• Front-Load What Matters: Veo pays the most attention to the start of your prompt. Lead with the shot, subject, and action, then layer in style and atmosphere.

• Keep Scenes Atomic: One subject, one action, one clip. If your idea has multiple beats, split it into separate generations and carry lighting and costume details across them for continuity.

• Validate Before You Generate: A missing comma or duplicated key can silently break your prompt. Run your JSON through a validator first. It takes ten seconds and saves a wasted render.

Try JSON Prompting on ImagineArt

Boost your video creation with ImagineArt’s AI tools using simple JSON prompts. Make high-quality videos for marketing, film, or social media easily and quickly. Start creating today and take your content to the next level!

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