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Image Auto Color Tagging and Search
Analytics and Optimization Content Management & Operations Apps Utility
33356996
الوصف

The Image Auto Color Tagging and Search module enhances Liferay’s Document and Media capabilities by enabling users to discover and organize images based on dominant colours extracted directly from the images.

With this extension,

• Automatically detect and extract up to three dominant colours from each image.• Create colour-based tags for every uploaded image (such as “red”, “blue”, and “green”).• Search images by selecting detected colour tags for quick filtering.• Perform text-based colour searches like “red”, “blue”, and “black”.• Improve asset organization with intelligent colour analysis and tagging.• Retrieve visually consistent images based on colour similarity for better content alignment.
This module integrates seamlessly with your existing Liferay system. Once deployed, it automatically processes images, detects dominant colours, and enriches your media library with intelligent, colour-aware metadata. The application analyses each image to identify up to three dominant colours based on pixel distribution and assigns corresponding searchable tags, ensuring accurate and consistent classification. Search results are limited to these detected colours, which helps maintain precision and relevance in colour-based discovery.

Deployment Steps:

• Download the provided JAR file.• Copy the JAR file into the deploy folder of your Liferay Home directory to activate the module.

The Image Auto Color Tagging and Search module enhances Liferay’s Document and Media capabilities by enabling users to discover and organize images based on dominant colours extracted directly from the images.

With this extension,

• Automatically detect and extract up to three dominant colours from each image.• Create colour-based tags for every uploaded image (such as “red”, “blue”, and “green”).• Search images by selecting detected colour tags for quick filtering.• Perform text-based colour searches like “red”, “blue”, and “black”.• Improve asset organization with intelligent colour analysis and tagging.• Retrieve visually consistent images based on colour similarity for better content alignment.
This module integrates seamlessly with your existing Liferay system. Once deployed, it automatically processes images, detects dominant colours, and enriches your media library with intelligent, colour-aware metadata. The application analyses each image to identify up to three dominant colours based on pixel distribution and assigns corresponding searchable tags, ensuring accurate and consistent classification. Search results are limited to these detected colours, which helps maintain precision and relevance in colour-based discovery.

Deployment Steps:

• Download the provided JAR file.• Copy the JAR file into the deploy folder of your Liferay Home directory to activate the module.

DEVELOPER

مطور برامج


Publisher Date

April 22, 2026


Deployment Method

Liferay Self-Hosted

Liferay PaaS


App Type

DXP

النسخة

1.0

الإصدارات المدعومة

7.4 GA120, 2025 Q1, 2025 Q4, 2024 Q4, 7.4 GA129, 7.4 GA125, 2025 Q3, 7.4 GA132

Standard Price

Free

Help and Support


مشاركة الرابط

DEVELOPER
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Published date
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Published Date
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SUPPORTED OFFERINGS
Liferay PaaS
Supported Versions
7.4 GA120, 2025 Q1, 2025 Q4, 2024 Q4, 7.4 GA129, 7.4 GA125, 2025 Q3, 7.4 GA132
Resource Requirements
Edition
PRICE
Free
help & support
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HTML Example

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.