Image Style Extractor analyzes a photograph and extracts its complete visual fingerprint — camera settings, lens character, lighting setup, color grading, film stock, era, texture, and mood. The result is saved as a reusable style prompt you can apply to future image generation.
It's the bridge between reference photography and AI image creation. Instead of trying to describe a visual style from memory, you point it at a photo you love and get back a precise, ready-to-use prompt that captures exactly what makes that image look the way it does.
What you can do
- extract_style — analyze any image URL and extract a full visual style breakdown with a reusable generation prompt
- Accepts direct image URLs, Instagram posts, or any webpage with an og:image tag
- Auto-saves the extracted style to your Style Prompts library for reuse with generate-image
- Optionally name and tag the style for easy retrieval later
Who it's for
Photographers and creative directors who want to replicate a visual language across AI-generated content. Brand teams building a consistent visual identity. Content creators who have a reference aesthetic they want to reproduce at scale.
How to use it
- Use extract_style with any image URL — a photo you like, an Instagram post, or a brand campaign image
- The tool returns a full style breakdown plus a ready-to-use generation prompt
- The style is auto-saved to your library — use it with generate-image to create new images in the same visual language
- Optionally pass a name and tags to keep your style library organized
Getting started
Works immediately with no setup — pass any public image URL to extract its style.
