This prompt converts any image into an exhaustive, machine-readable JSON file that captures every discernible visual element, designed to recreate images with maximum fidelity inside generative-image engines like Nano Banana, Flux, DALL·E, and more.
What It Does
Feed this prompt an image, and it will produce a structured JSON that encodes:
- Every visible object: position, dimensions, material, surface properties, color hex codes, lighting behavior
- Background details: texture, patterns, lighting, depth of field
- Composition data: symmetry type, rule of thirds alignment, spatial relationships
- Text content: OCR extraction, font styles, alignment, color
- Lighting analysis: shadow casting, highlight zones, translucency
Why It Matters
Most image-to-prompt workflows lose critical details. This prompt forces a three-pass analysis:
- Macro Sweep: Identify all major elements and overall composition
- Micro Sweep: Scan for fine details, textures, micro-patterns
- Relationship Sweep: Map connections between objects (e.g., "object A resting on object B")
The result is a JSON so detailed that generative engines can reproduce the image with near-perfect accuracy.
How to Use It
- Copy the full prompt from the PDF
- Paste it into ChatGPT, Claude, or Gemini along with your image
- Get your JSON output: a complete, structured breakdown of every visual element
- Feed the JSON into your image generator: Nano Banana, Flux, DALL·E, Midjourney, etc.
Best For
- Recreating reference images in different AI art engines
- Building consistent visual styles across multiple generations
- Creating detailed image specifications for design teams
- Archiving visual compositions in machine-readable format
Download the Full Prompt
The complete prompt with all analysis protocols, object schemas, and output formatting is available in the PDF below.