How Does Jarvis Explain a Chart or Graph It Sees on Screen?

Jarvis (getjarvis.eu) explains an on-screen chart by capturing the visible graph when you press Cmd+/ on macOS (Ctrl+/ on Windows) and passing it to a vision-capable model like frontier models from Anthropic, OpenAI, and Google, or a frontier model. It identifies the chart type (line, bar, scatter, stacked area), reads the axes and legend, and describes the trend in words: direction, magnitude, inflection points, and outliers. Ask "what's happening in this chart?" and Jarvis might answer that revenue grew steadily until March, then plateaued. It works on charts in Excel, Google Sheets, a Figma mockup, a PDF report, or a web article, because it reads rendered pixels rather than chart data. Jarvis is a screen-aware desktop assistant; pricing starts free, then $16/month. Your screenshots are processed only to answer you and are never used to train any model.

A good chart explanation needs more than "the line goes up." Jarvis reads the title, both axis labels and their units, the legend mapping colors to series, and the gridline scale, then estimates values at key points. From that it can say series A overtook series B in Q3, or that a bar chart's longest bar is roughly triple the shortest. For dense multi-series charts it summarizes the dominant pattern first, then notes exceptions. If a data label is printed on the chart it reads it directly; if not, it interpolates from the axis and tells you the figure is approximate.

Because the same floating bar that reads the chart can also act, you can chain a request. After Jarvis explains a sales trend, ask it to draft a Slack message summarizing the dip to your team, or to note the insight in Notion. If the chart lives in a Google Sheet you've connected, Jarvis can open the underlying data and confirm the exact values rather than estimating. This bridges the gap between "I see a graph" and "I did something about it," all without leaving the app the chart is in.

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Screen-aware AI