Is Konnect2Tools free?

Yes. These in-browser tools are completely free to use with no account required for core functionality.

Do my files leave my device?

Browser document operations run locally, except where the operation uses an external service, such as AI summarisation. Read the processing note before using sensitive inputs.

Is the JSON to Excel tool safe to use?

Local operations process document content on your device. External-service operations may send inputs as described in the processing note. Keep originals and inspect the output.

What JSON structure works best for conversion to Excel?

A flat array of objects with consistent keys across all objects produces the cleanest Excel output. Arrays of arrays (numeric-indexed) and deeply nested objects require more post-processing.

Can I convert a JSON file with nested arrays?

Nested arrays are handled by either flattening (concatenating values) or producing multiple rows per parent object, depending on the nesting strategy. Very complex nested structures may require preprocessing in code first.

What is the maximum JSON file size supported?

JSON files up to 10 MB are supported. Larger files can be split by top-level array chunks and processed in batches.

Will date strings in JSON be recognised as dates in Excel?

ISO 8601 date strings (e.g., '2024-01-15') are typically converted to Excel date cells. Other date string formats may remain as text — use Excel's DATEVALUE function to convert them if needed.

Developer & data utilities

JSON to Excel

Flatten JSON into a spreadsheet-friendly grid.

Run JSON to Excel online

In-browserDocument processing runs on your device. External resources may still load.

Enable JavaScript to use the interactive tool. Read the instructions, limitations and FAQs below before starting.

Converting JSON data to Excel is a common data engineering and analysis task. JSON is the dominant format for API responses, database exports, and modern web applications. However, most business users prefer to analyse and share data in spreadsheets — Excel's filtering, pivot tables, and chart capabilities are far more accessible than working with raw JSON in a text editor.

This tool parses your JSON data (arrays of objects, nested objects, or flat key-value pairs), flattens the structure into a tabular format, and generates an .xlsx file. Each top-level array element becomes a row; object keys become column headers. Nested objects are flattened with dot-notation keys (e.g., 'address.city' becomes a column header).

API developers use JSON-to-Excel to deliver data to non-technical stakeholders. Data analysts use it to import JSON exports from databases and SaaS tools into Excel for analysis. Operations teams use it to convert API-fetched order or inventory data into a manageable spreadsheet.

How to use this utility

Use the controls below—paste text, pick files, or adjust options as described on the tool.
Click the main action button. Processing runs in your browser on this device.
Download or copy the output. Check the processing note for any external services used by this operation.

Common use cases

Converting an API response (JSON array of records) into an Excel sheet for client reporting.
Turning a MongoDB or Firebase JSON export into an Excel table for data analysis.
Converting a JSON config export from a SaaS application into a spreadsheet for documentation.
Transforming a JSON data file from a developer into a workable Excel table for a business analyst.
Converting JSON survey response data into Excel for pivot table analysis.

Tips for best results

1Flatten nested JSON before converting for cleaner column headers — deeply nested objects produce very long column names.
2For large JSON arrays (10,000+ rows), the conversion may take a few seconds — keep the browser tab active.
3Check that all columns have converted correctly, especially for columns with mixed data types (some rows with a value, some null).
4For JSON arrays with inconsistent keys across objects (not all objects have all keys), the tool fills missing values with blank cells.
5After conversion, use Excel's 'Format as Table' feature to make filtering and sorting available immediately.

Frequently asked questions

Is Konnect2Tools free?: Yes. These in-browser tools are completely free to use with no account required for core functionality.
Do my files leave my device?: Browser document operations run locally, except where the operation uses an external service, such as AI summarisation. Read the processing note before using sensitive inputs.
Is the JSON to Excel tool safe to use?: Local operations process document content on your device. External-service operations may send inputs as described in the processing note. Keep originals and inspect the output.
What JSON structure works best for conversion to Excel?: A flat array of objects with consistent keys across all objects produces the cleanest Excel output. Arrays of arrays (numeric-indexed) and deeply nested objects require more post-processing.
Can I convert a JSON file with nested arrays?: Nested arrays are handled by either flattening (concatenating values) or producing multiple rows per parent object, depending on the nesting strategy. Very complex nested structures may require preprocessing in code first.
What is the maximum JSON file size supported?: JSON files up to 10 MB are supported. Larger files can be split by top-level array chunks and processed in batches.
Will date strings in JSON be recognised as dates in Excel?: ISO 8601 date strings (e.g., '2024-01-15') are typically converted to Excel date cells. Other date string formats may remain as text — use Excel's DATEVALUE function to convert them if needed.

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