Multimodal Image Recognition
Analyzes and extracts visual information, text, and product details from image URLs using multimodal AI vision capabilities.
The Multimodal Image Recognition skill empowers Claude Code to inspect, describe, and extract data from images hosted online. Built for e-commerce intelligence and visual inspection, it handles optical character recognition (OCR), product feature detection, Amazon A+ content review, visual comparison, and detailed scene analysis across formats including JPG, PNG, WebP, GIF, and BMP. By accepting custom natural-language requirements alongside image URLs, it allows developers and merchants to automate visual data extraction, audit listing assets, and interpret visual context seamlessly within their workflow.
主要功能
01Support for JPG, JPEG, PNG, GIF, WebP, and BMP image formats
02Multimodal image content analysis from public URLs
03E-commerce listing and Amazon A+ content feature auditing
0455 GitHub stars
05Text and OCR extraction preserving visual layout
06Visual comparison between products, packaging, and screenshots
使用场景
01Reading text, infographics, and labels directly from UI screenshots or product packaging
02Extracting key selling points and specifications from e-commerce product photos
03Auditing Amazon A+ content images for brand messaging and compliance