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Larkup understands structured data. Upload an Excel or CSV file and the AI can aggregate rows, compute totals, compare categories, and render the result as a bar chart, line chart, or table inside the Chat conversation.

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Loading the data

Go to Data → Files and drag in your .xlsx, .csv, or .json file. Larkup detects the structure automatically. Column types, row count, and the data schema are shown before you confirm.
Excel file staged in the Files tab with column types detected

A 500-row Excel file staged for upload with column schema preview

Click Start Indexing to begin. Progress is shown in real time.
Indexing progress for Excel upload

Indexing progress for a structured data file

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Asking analytical questions

Once indexed, open Chat and ask anything about the data:
“Show revenue by region as a bar chart” “Which sales rep had the highest net revenue in Q1?” “Give me a monthly breakdown of gross sales”
Larkup reads the relevant rows, computes the answer, and renders the chart or table inline.
Bar chart rendered inline in Chat

A bar chart generated in Chat from a sales dataset

Detailed chart answer with analysis and later suggestions

Chart with a later summary and suggestions

Each chart response includes a Copy Data button and a CSV export so you can take the output into another tool. Later questions build on the previous answer. You can drill down into a specific category, change the chart type, or ask for a written summary without uploading the data again.