Can Jarvis Read Charts and Diagrams on My Screen?

Yes. Jarvis (getjarvis.eu) is screen-aware, so it can read charts, diagrams, dashboards, and other visuals directly from your screen using a vision-capable model, typically a faster model, with a frontier model also able to handle images. Press Cmd+/ on macOS or Ctrl+/ on Windows, point at a chart, and ask it to extract the numbers, explain the trend, or compare two figures, no manual cropping or uploading. It can then act on what it sees: drop the values into Google Sheets, summarize a dashboard into a Slack message, or explain a flowchart. Your screenshots are never used to train any model, processing is GDPR-aligned on GDPR-aligned infrastructure with AES-256-GCM encryption, and Jarvis is GDPR aligned. It runs on macOS 12+, Windows 10+, and Linux, starting with a free plan (40 requests/week) before $16/month.

Vision-capable routing lets Jarvis pull structured meaning from visuals: the data points in a bar chart, the axes and trend in a line graph, the cells in a screenshot table, or the boxes and arrows in a flowchart. Because a frontier model reasons well over dense images, it can answer "which quarter had the highest revenue" or "summarize what this architecture diagram shows" from pixels alone. You don't export the underlying data first, Jarvis reads the rendered image on your screen, which is useful when you only have a picture, not the source file.

Reading is just the start. Once Jarvis sees a chart, it can chain into a connector: transcribe the figures into Google Sheets, write a summary of the dashboard into Notion, or paste the key numbers into a Slack update. This often mixes models, a faster model to read the visual, then frontier models from Anthropic, OpenAI, or Google to compose the output, all in one request from the Cmd+/ bar. That's the payoff of pairing screen awareness with multi-model routing: see it, understand it, act on it.

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