Image Studio

Problem

Batch image workflows often get fragmented: background removal, background replacement, watermarking, and target-size export are usually handled by separate tools or web services. When the requirement is offline processing and directory-level batch output, a scriptable local pipeline becomes useful.

How It Works

Image Studio is a Python CLI built around image_studio.py. It provides four common commands: remove-bg uses rembg for background removal and can fall back to OpenCV GrabCut if the dependency is unavailable; replace-bg composites the subject onto an image or solid-color background; watermark adds text or image watermarks with position, opacity, font size, and scale controls; resize supports resize, cover, contain, and crop modes, similar to common CSS object-fit behavior.

Each command accepts a single file or a directory. It processes supported formats such as .png, .jpg, .jpeg, .webp, .bmp, and .tiff, and can output PNG to preserve transparency. The commands can be chained in a typical asset pipeline: remove background, replace background, resize, then watermark.

Boundaries And Notes

rembg is mainly for background removal and replacement; without it, accuracy may drop. Text watermark and image watermark are mutually exclusive, as are image background and solid background. A missing input directory causes an error, while output directories are created automatically. This skill is best for local batch processing and simple image pipelines, not for advanced retouching, fine-grained person editing, commercial-grade compositing, or semantic image understanding.