AI Article Summarizer

AI Article Summarizer condenses long-form content — articles, meeting transcripts, research papers, customer feedback dumps — into a short, structured summary. The output is a one-paragraph TL;DR, a three-bullet key takeaway list, and the action items pulled from the text. It's designed for the moment when you need to know what something says without spending fifteen minutes reading it. This tool is in the next development phase. Unlike the rest of the toolkit, summarization can't run entirely in your browser — it requires a hosted language model, which means a server, an API key, and rate-limiting. Those pieces ship together with user accounts in the next release. In the meantime, the interface here is a preview so you can see what's coming and so the page can index for the keywords. If you want to be notified when the live version launches, the "Notify me" button will be wired to a waitlist after we add accounts. Common use cases include: digesting a 30-minute meeting transcript before responding, summarizing a long blog post you don't have time to read, extracting decisions and action items from a thread, generating a meta description from a long article, and pulling the headline finding out of a research paper. While you wait, the Word Counter handles length and reading-time estimates, and the Case Converter is useful for cleaning up scraped text before paste.