JSON to Excel Converter for Nested Data
Turn JSON records into a worksheet that analysts and business teams can open. Select the right root, flatten nested fields and choose how arrays become rows or cell values before exporting.
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A JSON-to-Excel converter maps objects and arrays into rows and columns. AppKiro can select a nested root, flatten objects into dotted columns, expand or serialize arrays, preserve value types and export Excel or CSV.
Load the JSON, choose the tabular mapping and download a workbook your team can use.
Input JSON
Output Excel
| A | B | C | D | E | F | |
|---|---|---|---|---|---|---|
| 1 | id | name | role | signup_date | active | |
| 2 | 1 | Alice Johnson | [email protected] | Admin | 2024-01-15 | true |
| 3 | 2 | Bob Smith | [email protected] | Editor | 2024-01-16 | true |
| 4 | 3 | Carol Williams | [email protected] | Viewer | 2024-01-17 | true |
| 5 | 4 | David Brown | [email protected] | Editor | 2024-01-18 | false |
| 6 | 5 | Eva Davis | [email protected] | Admin | 2024-01-19 | true |
How to use it
- Paste JSON, upload a JSON file or fetch a supported public URL.
- Choose the root collection, flattening/array behavior, headers, types and worksheet name.
- Review the table preview, then download Excel/CSV or copy CSV.
Key features and settings
- Root selector for nested objects or arrays.
- Dotted-column flattening for nested objects.
- Configurable array expansion and data-type preservation.
- Excel and CSV download plus copyable CSV output.
Supported input and output
Input: JSON text or file, a supported public URL. Output: .xlsx, .csv.
Use cases
- Hand API data to operations or finance teams.
- Create a spreadsheet from JSON exports for filtering and pivoting.
- Flatten nested records for CSV-based imports.
Which workflow should you choose?
Use JSON to Excel Converter for: Root selector for nested objects or arrays. Use JSON to CSV Converter for: Nested root selection and object flattening.
Privacy and data path
In the current implementation, pasted/uploaded content is processed in the browser, while “Extract from URL” uses a server-side proxy to fetch the source.
Limits and troubleshooting
- Irregular nested arrays may create duplicate rows or serialized cells; choose the mapping that matches the analysis task.
- Spreadsheet software can auto-format long IDs and dates, so inspect sensitive columns after opening the file.
- There is no universal size promise; large-input performance depends on browser memory and device capability.
FAQ
How are nested objects and arrays handled?
Nested object keys can become dotted columns. Arrays can be expanded into rows or serialized into a cell, depending on the selected option.
Is my data uploaded to a server?
In the current implementation, pasted/uploaded content is processed in the browser, while “Extract from URL” uses a server-side proxy to fetch the source.
What are the file or data limits?
There is no universal size promise; large-input performance depends on browser memory and device capability.
Does it work on mobile?
The page is web-based and may work in a modern mobile browser, but file-picker behavior, memory and cross-device compatibility are not verified for every device. Use a desktop browser for large or complex inputs.
Which workflow should you choose?
Use JSON to Excel Converter for: Root selector for nested objects or arrays. Use JSON to CSV Converter for: Nested root selection and object flattening.
Related tools
Load the JSON, choose the tabular mapping and download a workbook your team can use.