What is page-qna-extension?

Page-qna-extension is a browser extension that lets you ask questions about the content of whatever web page you're currently viewing. Instead of scrolling through a long article or document trying to find a specific detail, you can pose a question directly and get an answer drawn from that page's text. Based on the project name, the likely flow is that a user opens a web page, clicks the extension, types a question, and receives an answer generated from the page's content. The extension reads the text on the page, processes your question, and returns a relevant response. However, the README doesn't go into detail about the specific technology powering the question-answering, so the exact mechanism, whether it calls an external AI API, runs a local model, or uses a simpler text-matching approach, isn't documented. This tool would appeal to anyone who reads dense or lengthy web content and wants to quickly extract specific information. For example, a researcher scanning a long Wikipedia article could ask "What year did this event happen?" instead of hunting through paragraphs. A shopper comparing product specs across retailer pages could ask "What is the battery life?" and get a direct answer. A student reading documentation could ask for a plain-language summary of a confusing section. The README itself is essentially empty beyond the project title, so there's no information about installation steps, configuration, supported browsers, or whether you need an API key for any underlying service. Anyone interested in trying it out would need to explore the JavaScript codebase directly to understand how to set it up and what dependencies or accounts it requires. As it stands, this appears to be an early-stage or personal project with minimal documentation.