| # Metadata Analysis for Image Edit Detection | |
| This module inspects image metadata to detect possible signs of AI-generation or post-processing edits. | |
| ## Overview | |
| - Many AI-generated images and edited images leave identifiable traces in their metadata. | |
| - This detector scans image EXIF metadata and raw bytes for known AI generation indicators and common photo editing software signatures. | |
| - It classifies images as `"ai_generated"`, `"edited"`, or `"undetermined"` based on detected markers. | |
| - Handles invalid image formats gracefully by reporting errors. | |
| ## How It Works | |
| - Opens the image from raw bytes using the Python Pillow library (`PIL`). | |
| - Reads EXIF metadata and specifically looks for the "Software" tag that often contains the editing app name. | |
| - Checks for common image editors such as Photoshop, GIMP, Snapseed, etc. | |
| - Scans the entire raw byte content of the image for embedded AI generation identifiers like "midjourney", "stable-diffusion", "openai", etc. | |
| - Returns a status string indicating the metadata classification. | |
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