photo-editor

Batch processing image optimization handles multiple photos simultaneously by applying resizing and filters across directories. This Skill supports batch processing to streamline post-processing workflows for large sets of images using Pillow and OpenCV.

AI background removal automatically extracts subjects from images without manual masking. This Skill utilizes the rembg library to perform advanced, code-based background removal during image processing.

Adding watermarks and text overlays programmatically applies custom branding directly to image files. This Skill handles text and watermark additions alongside other editing tasks like cropping and color adjustments.

This image editing tool supports color adjustments and filter applications to enhance photos. It leverages OpenCV and Pillow to modify image properties, apply visual filters, and optimize images efficiently.

Automating image cropping and resizing for web assets is best handled through code-based image processing scripts. This Skill executes resizing and cropping operations efficiently, utilizing the sharp library for optimized output.

Running code-based image processing tasks requires specific dependencies including Pillow, opencv-python, sharp, and rembg. These libraries provide the foundational framework for resizing, filtering, and AI-based background removal.