JSON to Excel

Yes. A JSON record like {"order_id":1001,"customer":{"email":"ana@example.com"},"total":79.5} becomes an Excel row with columns such as order_id, customer.email, and total. If the JSON contains repeated arrays like line_items, you can ask to join them in one cell, expand them into multiple rows, or place them on a separate sheet.

Nested objects are flattened using dot notation. For example, a field like 'address.city' becomes its own column header, keeping all data in a single, readable sheet rather than splitting across multiple tabs.

The tool creates a union of all keys found across every object as column headers. Rows that lack a particular key simply show an empty cell in that column, so no data is lost.

Very large JSON files — typically those over a few thousand rows or with deeply nested structures spanning 5+ levels — may produce slower results or require manual cleanup. Splitting large files before converting usually gives cleaner output.

Numeric values are typically preserved as numbers in the XLSX output. Dates in ISO 8601 format (e.g., '2024-03-15') are usually recognized and formatted correctly, though custom date strings may come through as text.

Yes — JSON exports from REST APIs, MongoDB, Firebase, Postman, and similar sources are common use cases. As long as the data follows standard JSON syntax, the conversion process treats it the same way regardless of origin.

It depends on the data. Tags or categories often work well as comma-separated values in one cell. Order line items, events, logs, or repeated measurements usually work better as separate rows or a second sheet linked by an ID. State your preference in the prompt for a cleaner workbook.

Minor formatting issues — trailing commas, inconsistent spacing — are often handled gracefully, but the JSON must be structurally valid. Running it through a free JSON validator first is a good habit if you are unsure about the source data.