The Extractor endpoint returns data on dominant colors extracted from an image, including background and foreground colors, their RGB values, HTML color codes, and the percentage of each color's presence in the image.

Key fields in the response include "colors," which contains "background_colors" and "foreground_colors," each with attributes like "r," "g," "b," "html_code," and "percent," indicating the color's RGB values, HTML representation, and its proportion in the image.

The response data is structured as a JSON object with a "result" key. Within this, the "colors" key contains arrays for "background_colors" and "foreground_colors," each detailing individual color attributes, allowing for easy parsing and analysis.

The Extractor endpoint primarily accepts an image URL as a parameter. Users can customize their requests by providing different image URLs to extract colors from various images, enabling diverse applications.

Data accuracy is maintained through advanced algorithms that analyze color frequencies and proportions in images. Continuous updates and improvements to these algorithms ensure reliable and precise color extraction results.

Typical use cases include generating color palettes for design, conducting color-based image searches, enhancing e-commerce product filtering, and automating background color detection for web applications, making it versatile for various industries.

Users can utilize the returned data by integrating it into applications for color-based searches, creating visually appealing designs, or adjusting images based on dominant colors. The detailed attributes allow for tailored implementations in design and marketing.

Users can expect a consistent structure in the response, with dominant colors typically showing higher percentages. Background colors often have a greater presence than foreground colors, reflecting the image's overall color scheme.

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