SHAK
AI REVERSE ENGINEERING

Stop Guessing.
Master Image to Prompt Engineering.

We bridge the "Semantic Gap" between an image and the text required to generate it. Upload a reference image to extract its lighting physics, camera optics, and artistic medium into a precise prompt.

Click to upload or drag & drop

SVG, PNG, JPG or GIF

Tip: You can also Ctrl+V to paste an image

Ready to Reverse Engineer

Upload an image to extract its style, subject, and generate a recreation prompt.

The Semantic Gap Problem

Why Standard Captioning Fails

Most tools tell you what is in an image (A dog on a porch). That isn't enough for Generative AI. To recreate a style, you need to know how the image was created.

Our engine acts as a translator, mapping visual features to Activation Tokens—keywords that carry high inferential weight within a model's latent space.

✕

Standard Caption

"A bright photo of a woman."

Low Inferential Weight

✓

Our Reverse-Prompt

"Rembrandt lighting, 85mm lens, f/1.8 aperture, Kodak Portra 400, high fidelity."

Activation TokensLatent Space Mapping

How We Analyze Your Image

Our system scans your upload across distinct technical layers to ensure high-fidelity replication.

Layer 1: Illumination Physics

Identifies lighting conditions that determine mood.
  • Natural: Golden Hour, Blue Hour, Overcast.
  • Cinematographic: Rembrandt, Split, Butterfly.
  • Atmospheric: Volumetric Lighting, Fog.

Layer 2: The Virtual Lens

Hallucinates the camera settings used.
  • Focal Length: 16mm Wide vs 200mm Telephoto.
  • Aperture: f/1.2 (Bokeh) vs f/16 (Deep Focus).
  • Film Stock: Kodak Portra, Cinestill 800T, Ilford HP5.

Layer 3: Render Engines

Identifies digital engine signatures.
  • Signatures: Unreal Engine 5, Octane Render, Redshift.
  • Materials: Subsurface Scattering (SSS), Iridescence.

Workflows

Master the latent space with these proven techniques.

The "Subject Swap"

Transpose an aesthetic onto a completely new subject.

1Analyze reference image
2Copy 'Style String'
3Combine with new subject
4Generate result

Image-Weight Method

Lock in composition with extreme fidelity.

PROMPT FORMULA
[Image URL] + [Our Prompt] + --iw 2.0

By using the highest image weight parameter (--iw 2.0), you force Midjourney to adhere strictly to the input composition while applying our style tokens.

Supported Models

Optimized syntax for every major generative engine.

Midjourney (v6/v7)

Our flagship optimization target. We output natural language structures enhanced with style references (--sref), parameter precision (--ar, --style raw), and permutation handling.

Nano Banana

Lightweight inference and rapid style transfer.

Stable Diffusion

Engineered for control. We generate weighted syntax (token:1.2) and Booru-style tags compatible with SDXL and Flux.

Gemini Pro/Ultra

Multimodal native. Focuses on deep visual reasoning and complex instruction following for "One-Shot" editing workflows.

ChatGPT (DALL-E 3)

Calibrated for conversational prompting. We output high-fidelity narrative descriptions that DALL-E 3 follows with extreme precision.

Ready to Master the Latent Space?

Unlock the hidden data in your images and streamline your creative workflow today.

Let‘s do great work together

Empowering creators with free, high-performance AI, SEO, and developer tools. Join thousands of users optimizing their workflow with Shak-Tools.

Tools10+ Free
UsersGlobal

Stay in the loop

Join our newsletter for the latest AI tools and updates.

ShakTools
© 2025 Shaktools. All Rights Reserved.Privacy Policy