QuapQuap

Charts and summaries with AI

Ask questions about your data in plain words and get a table and a chart.

Ask the assistant a question about the records in your document and it answers with a table and a chart, computed locally by the Analysis engine. The document itself does not change.

Examples

You typeYou get
"orders per city as a pie chart"count per city, pie chart
"average delivery days per courier"average per courier, bar chart
"monthly revenue trend"sum of total per month, line chart
"split age into ranges of 10 and count"histogram
"total, average, min and max of price"one-row summary
"top 10 products by quantity sold"sorted, limited table and bar chart
"how many users per tag" (a list field)count per value of the list

Read and adjust

The result opens in the Analysis view with Table and Chart tabs. Change the chart type (bar, line, pie, donut, scatter, heatmap, treemap, sunburst, funnel, radar, box plot, gauge, Sankey…), switch to horizontal or stacked, and export with Save CSV, Save PNG or Copy JSON.

To change the grouping or filters, say so in a follow-up ("now per quarter") or build the analysis by hand in the Analysis view.

Combine with other steps

Filtering before analysing works in one instruction: "only 2026 orders, revenue per month as a line chart". An analysis is always the last step of a plan.

Large files

With Pro you can analyse large JSON and NDJSON files the same way.

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