XLSX Dynamic Report Builder

XLSX Dynamic Report Builder | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Format Conversion
Input types: textarea, text, checkbox
Output type: file
Sample coverage: 4
API ready: Yes

Overview

The XLSX Dynamic Report Builder allows you to transform raw JSON data into professional, structured Excel reports featuring multi-level merged headers, automated subtotaling, and custom column grouping.

When to use

When you need to convert flat JSON datasets into formatted reports with hierarchical headers.
When you require automatic subtotal calculations based on specific regional or departmental groupings.
When you want to generate consistent, multi-column financial or operational summaries from raw data inputs.

How it works

1Paste your raw data in JSON format into the Data JSON field.
2Define your grouping logic and column structure using the Group By and Dimension Columns fields.
3Map your metrics and organize headers using the Header Groups JSON configuration.
4Generate and download your formatted XLSX file with optional grand totals included.

Use cases

Generating monthly financial performance reports from raw database exports.
Creating regional sales summaries with grouped subtotals for management review.
Building operational dashboards that require multi-level header categorization.

Examples

1. Regional Financial Summary

Financial Analyst

Background

An analyst needs to convert a flat JSON export of global sales into a structured report grouped by region.

Problem

Manual grouping and subtotaling in Excel is error-prone and time-consuming for large datasets.

How to use

Input the JSON data, set 'region' as the group, and define 'revenue', 'cost', and 'profit' as metric columns.

groupBy: 'region', valueColumns: 'revenue,cost,profit', includeGrandTotal: true

Outcome

A clean Excel file with regional subtotals and a grand total row, organized under 'Organization' and 'Financials' headers.

FAQ

Can I group data by multiple levels?

Yes, you can specify multiple columns in the 'Group By' field to create nested subtotal structures.

How do I create merged headers?

Use the 'Header Groups JSON' field to map specific columns under a shared parent header name.

Is a grand total row mandatory?

No, you can toggle the 'Include Grand Total' checkbox to enable or disable the final summary row.

What input format is required?

The tool requires a valid JSON array of objects, where each object represents a row of data.

Can I name the output sheet?

Yes, use the 'Sheet Name' field to define a custom title for your generated Excel worksheet.

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Regional Financial Summary

FAQ

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