xby-extract-image

Before an LLM can analyze an image, you usually have to wrestle with where the image actually lives: a local path, a web URL, or a raw base64 string copied from a clipboard. Each source demands different reading, encoding, and cleanup logic, and stitching them together by hand is slow and error-prone. xby-extract-image collapses that pipeline into three clean tool calls—one for local files, one for HTTP/HTTPS URLs, one for base64 payloads—so every image arrives as a ready-to-consume base64 string without redundant glue code.

Beyond extraction, the plugin exposes visual content understanding, OCR text extraction, and object recognition out of the box, covering screenshots, photographs, flow diagrams, scanned documents, and more. A single set_xby_apikey call persists the credential across restarts, letting you go from "image in hand" to "image understood" entirely within the conversation, with no terminal hops or manual file pasting.

If you are building a multimodal agent workflow, batch-reading competitor screenshots, or simply want the model to pull table text out of a webpage image, this plugin slots in as a lightweight image front-end that drops straight into your existing pipeline.