Analyze external assets to extract detailed information based on various AI-driven analysis types.
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The Cloudinary Analysis JS SDK provides access to the Cloudinary Analyze API, allowing developers to programmatically analyze external assets using a variety of AI-driven models. This includes capabilities like AI vision for tagging, moderation, and general content understanding, as well as specific detections for fashion, text, human anatomy, and watermarks. It also supports image quality analysis and various object detection models such as Coco, Lvis, Unidet, and Shop Classifier, enabling rich content understanding and management.
Key Features
01Supports diverse AI vision models (Tagging, Moderation, General)
02Includes capabilities for image quality assessment and watermark detection
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04Offers specialized analysis for image captioning, fashion, text, and human anatomy
05Functions as an installable Model Context Protocol (MCP) server for AI applications
06Provides standalone functions for optimized bundle sizes in browser and serverless environments
Use Cases
01Automatically tag visual assets for improved searchability and content organization
02Programmatically moderate user-generated content for inappropriate material
03Extract specific information from images, such as brand logos, text, or human anatomy features
