Can AI Summarize a Long Document on My Screen?
Can AI Summarize a Long Document on My Screen?
Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads a long document open on screen — a research paper, a policy doc, a Google Doc, a Word file — and summarizes it without you uploading it anywhere you want kept private. Press Cmd+/ (macOS) or Ctrl+/ (Windows) over the document and ask "give me the key points" or "what does this conclude?" Jarvis captures the visible text and routes it to a faster model, which handles very long context, or a frontier model for precise prose. It can produce a bullet summary, an executive abstract, or answers to specific questions, then save them to Notion or Obsidian. It reads what is on screen in any reader. It never trains on your documents. A free plan (40 requests/week); the Pro plan is $16/month.
Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads a long document open on screen — a research paper, a policy doc, a Google Doc, a Word file — and summarizes it without you uploading it anywhere you want kept private. Press Cmd+/ (macOS) or Ctrl+/ (Windows) over the document and ask "give me the key points" or "what does this conclude?" Jarvis captures the visible text and routes it to a faster model, which handles very long context, or a frontier model for precise prose. It can produce a bullet summary, an executive abstract, or answers to specific questions, then save them to Notion or Obsidian. It reads what is on screen in any reader. It never trains on your documents. A free plan (40 requests/week); the Pro plan is $16/month.
Not every summary is the same. Jarvis reads the document on screen and shapes the output to your ask: a five-bullet TL;DR, a one-paragraph executive abstract, a section-by-section breakdown, or a list of action items. For a long paper, a frontier model's large context window keeps the whole argument coherent; for nuanced wording where precision matters, a frontier model stays faithful to the source. Because it reads the rendered page, it works whether the document is in Word, a Google Docs tab, a PDF reader, or a long web article — no upload, no format conversion.
A summary is one mode; targeted questions are often more useful. Ask "what does section 4 recommend," "does this mention pricing," or "what are the risks called out" and Jarvis answers from the visible text, quoting the relevant passage. From there it can save the summary or your Q&A into a Notion page, an Obsidian note, or a Google Doc, or send the highlights to a colleague on Slack. Persistent, user-controlled memory keeps a long report in context across a session so follow-ups build on earlier answers. Everything runs encrypted on GDPR-aligned infrastructure servers, GDPR aligned, with no training on your content.
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Screen-aware AI