How it works
Methodology reviewed September 3, 2026
AI Image to Prompt is a four-step pipeline designed so the final prompt is grounded in what your image actually shows — not in what a model guesses. See worked examples or open the tool.
Prepare in your browser
Your image is resized, converted to a clean JPEG, and stripped of file metadata on your device before anything is uploaded. Nothing is sent until you choose Generate.
Extract verified visual facts
A vision model acts as a forensic analyst and returns structured observations only: subject, scene, composition, camera, lighting, color palette, materials, style, exact visible text, and a list of uncertainties it refuses to guess.
Compile for your target model
An editor pass turns the verified facts into a prompt shaped for your chosen model — compact clauses and parameters for Midjourney, natural sentences for Flux and DALL·E, concepts plus a negative prompt for Stable Diffusion.
Review against the original
A second vision pass compares the draft with your actual image and scores six components: subject, composition, lighting and color, style and medium, text handling, and model fit. If the weighted score falls below 85, the prompt goes through one revision round before you see it.
Model-aware output
Prompt structure follows the target model you select, because each image model responds to a different writing style.
| Target | Prompt style |
|---|---|
| Generic | Portable natural prose, most important visual facts first, no proprietary flags. |
| Midjourney | Compact descriptive clauses with justified parameters such as aspect ratio at the end. |
| Flux | Complete natural-language sentences with explicit spatial relationships, no tag spam. |
| Stable Diffusion | Concise comma-separated concepts with a useful negative prompt. |
| DALL·E | Full art direction covering composition, lighting, material, and typography placement. |
Frequently asked questions
Which image models are supported?
Midjourney, Flux, Stable Diffusion, DALL·E, or a portable generic format. Prompt structure, parameter style, and negative prompts adapt to the target you choose.
Are uploaded images stored?
No. The prepared image is analyzed in memory for the duration of the request and is never saved to a database.
What is the difference between Faithful and Balanced mode?
Faithful prioritizes literal recreation of the visible image. Balanced preserves the subject and composition while allowing restrained polish.
What does a result include?
A primary prompt, an alternate wording, a negative prompt where useful, a structured breakdown, and a quality report with component scores.