Extract Any Image’s DNA & Recreate It Using JSON — Full Guide

1 Dec, 2025
Image to JSON DNA Workflow

Hello Creators! 👋

Want to copy or recreate any image perfectly? This guide shows how to extract an image’s visual "DNA" — convert it into a structured JSON prompt, edit only the parts you want, and regenerate photorealistic variations with AI (e.g., Google Gemini or other vision-capable generators).

By the end you’ll have a reliable workflow: extract → edit JSON → regenerate. Fast, repeatable, and precise.

🔒 Quick Note

Use images you own or have rights to. For real people, get consent before recreating likenesses. This technique is for creative/production use — respect copyright and privacy.

🛠️ What You Need

Prepare these before starting:

  • ✅ Vision-enabled AI (Google Gemini recommended).
  • ✅ Reference image (your photo, stock, or AI-generated).
  • ✅ Editor (notepad or code editor to tweak JSON).

🧬 The JSON “DNA” Schema (Use This)

Ask the model to return only this JSON structure — no extra text. Keep values descriptive strings. 

{
  "title": "short descriptive title",
  "subject_details": {
    "age_range": "",
    "gender": "",
    "pose": "",
    "expression": "",
    "hair": ""
  },
  "clothing_and_style": {
    "upper_body": "",
    "lower_body": "",
    "footwear": "",
    "accessories": "",
    "fabric_texture": ""
  },
  "background_and_setting": {
    "location_type": "",
    "objects": [],
    "depth_of_field": "",
    "mood": ""
  },
  "cinematography_and_lighting": {
    "camera_angle": "",
    "focal_length": "",
    "lens_type": "",
    "lighting_direction": "",
    "lighting_quality": "",
    "color_palette": ""
  },
  "image_properties": {
    "aspect_ratio": "",
    "resolution": "1280x790",
    "file_format": ""
  }
}

⚡ Step-by-Step Workflow

Follow these exact steps:

1 Upload the Image

Open Gemini (or another vision model). Upload your reference image and ensure it loads fully.

2 Send the Analysis Prompt

Paste this prompt after uploading (request JSON-only output):

Act as an expert image analyst and prompt engineer. Analyze the uploaded image in extreme detail and return only the JSON matching the provided schema. Use concise descriptive strings and arrays for lists.

3 Edit the Returned JSON

Change only the fields you want to vary. Example — change shirt color:

"clothing_and_style": {
  "upper_body": "crisp navy blue formal shirt",
  "lower_body": "tan trousers"
}

4 Regenerate the Image

Paste the edited JSON into the image generator and instruct: "Generate a photorealistic image using the following JSON. Preserve composition, lighting, and camera settings; apply the edited changes."

✅ Results & Variations

You’ll get photorealistic variations where only the edited attributes change — pose, lighting and composition remain stable.

⚙️ Best Practices

  • Always request JSON-only to avoid parsing noise.
  • Keep focal_length and lighting_quality unchanged for consistent likeness.
  • Use precise texture descriptions (e.g., "ribbed knit", "matte leather").
  • Prefer arrays for lists so you can toggle objects fast.
  • If platform supports seeds, reuse the seed to keep face/subject consistent.

📌 Privacy Reminder

Use only images you own or have licenses for. Do not recreate private individuals without permission.

Found this useful? Share with your creative team — and start building consistent image sets today. ❤️

Tags: #imageToJSON, #promptEngineering, #Gemini, #ImageDNA

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