Most people react like this. When they first hear the term "JSON prompting," they think, "Oh, that must be something only developers do." They don't even know what JSON is.

But once you actually try it, it's really not that hard. All you need to know is a few curly braces and quotation marks. In fact, the results come out more consistent than regular prompts, so I've been using it quite often lately.

You can follow along even if you know absolutely nothing about programming.


Let's Start by Understanding What JSON Is

JSON stands for "JavaScript Object Notation."

Don't let that scare you. You don't need to know JavaScript, and you don't need to know how to code. It's just a name.

Simply put, it's "a way to organize information in a format that computers can easily read."

You usually write prompts like this:

a cute fox in a forest, storybook illustration style, warm lighting

This is a "natural language" prompt. You write it the way people talk. The AI reads it and interprets it like, "Okay, fox, forest, storybook style..."

But the problem is that AI sometimes misinterprets your intent. It might interpret "warm lighting" as actual lighting, or as the overall color tone. So if you don't get the result you want, you end up going through trial and error, tweaking the prompt here and there.

JSON prompting is a method where you clearly separate and communicate each element.


Why Bother Writing It This Way

Honestly, for making a single simple image, natural language prompts are more convenient.

But there are times when JSON is better:

When making multiple similar images. It's convenient when you want to change just the subject while keeping everything else the same. Just replace "fox" with "bear" and you get another animal image in the same style.

When you want to save it as a template. Once you create one, you can keep reusing it. I have a product image template that I made once and just swap out the subject each time.

Results come out more consistent. Since the AI clearly distinguishes each element, you can definitively communicate "this is the style, this is the background, this is the lighting."


Comparison diagram between natural language prompts and JSON prompt format

Basic Structure โ€” Curly Braces Are Everything

JSON prompts always start and end with curly braces {}.

{
}

This is an empty JSON object. Nothing's in it yet.

You add information in a "key: value" format:

{
  "subject": "a fox"
}

"subject" is the key, and "a fox" is the value. Both are wrapped in quotation marks and connected with a colon (:).

If you want to add multiple items, separate them with commas:

{
  "subject": "a fox",
  "setting": "enchanted forest",
  "time_of_day": "golden hour",
  "style": "storybook illustration",
  "mood": "whimsical and magical",
  "color_palette": "warm autumn tones",
  "details": "soft fur, expressive eyes",
  "composition": "centered, close-up portrait"
}

Don't put a comma after the last item. I kept making this mistake at first, but once you get the habit, it's fine.


Storybook-style fox illustration generated with JSON prompt Realistic African giraffe photo generated with JSON prompt

That covers the basics. But JSON lets you put another JSON object inside a value. This is called "nesting."

Getting More Complex โ€” Nested Structures

That covers the basics. But JSON lets you put another JSON object inside a value. This is called "nesting."

For example, if you want to group camera settings separately:

{
  "subject": "a banana",
  "style": "product photography",
  "camera": {
    "angle": "45 degrees from above",
    "lens": "macro",
    "focus": "shallow depth of field"
  },
  "lighting": {
    "type": "studio softbox",
    "direction": "from left",
    "effects": ["rim light", "subtle shadows"]
  },