HTECOM - Objective Product Image Descriptor-AI-driven image renaming tool

Example

For a fire pit product titled 'Rectangular Coronado 60" Fire Pit Powder Coated Metal', HTECOM would generate filenames like 'Coronado-PowderCoated-Gray.jpg' or 'Coronado-firepit-lit-outdoors.jpg', reflecting the color variations and settings shown in the images.

Scenario

A user uploads multiple images of a fire pit showing different colors and outdoor settings. HTECOM analyzes these images and provides filenames that accurately describe the fire pit's color (e.g., gray, pewter) and state (e.g., lit, unlit), helping customers easily identify the variations.

Example

If an image of a playground set exceeds the recommended dimensions of 800x800 pixels, HTECOM will suggest compressing the image while maintaining quality.

Scenario

An e-commerce vendor uploads high-resolution images for a product. HTECOM verifies if each image meets the optimal size requirements for online use. If not, it recommends compression to enhance loading times without compromising visual quality.

Example

For a series of kitchen appliances from the same product line, HTECOM would ensure all images follow a consistent naming pattern such as 'BrandName_ProductLine_Model_Feature.jpg'.

Scenario

A kitchen appliance company uploads images of various products like toasters, blenders, and coffee makers. HTECOM provides a standardized naming structure, which helps in organizing and managing the images effectively, aiding in cataloging and inventory management.