JSONtoExcel

JSON to XLSX Converter

The XLSX document format powers modern enterprise data analytics. Convert your unstructured JSON files into universally supported Microsoft Excel .xlsx worksheets automatically below.

Drag & Drop your JSON file

Secure client-side processing. Your files are never uploaded to any server.

Understanding JSON vs XLSX

Because a majority of web applications communicate via API (Application Programming Interface), `.json` has practically become the universal language of the web. It's incredibly straightforward for parsing logic in JavaScript, Python, or Ruby.

However, when that data leaves the software engineering sphere and needs to be touched by finance, management, or strategy, the file format needs to pivot to .xlsx. Using our json to xlsx engine above, we take the heavy lifting of recursive array mapping out of your hands.

Why .XLSX instead of .XLS?

While both file formats are associated with Microsoft Excel spreadsheeting, XLSX is the modern standard introduced with Microsoft Office 2007.

  • ZIP Compression: Unlike the legacy proprietary binary of `.xls`, `.xlsx` is actually a zipped XML file archive. This means that converting a 100MB JSON payload to `.xlsx` usually results in an incredibly compressed spreadsheet file size, making email sharing easy.
  • Increased Limits: An old XLS file limits your rows to 65,536 and columns to 256. Modern APIs frequently export millions of records. XLSX allows over 1 million rows safely without breaking the format.
  • Data Integrity: Due to its XML-based formatting, corrupted files can often be restored entirely via Office tools, ensuring safety of your vital exported reports.

Format Compatibility Note

By utilizing the SheetJS dependency behind our tooling, we guarantee that the output generated by dragging and dropping your payload above matches native Office Open XML specs perfectly. The resulting files are cleanly readable not only in MS Office, but also via Google Sheets, Apple Numbers, LibreOffice Calc, and practically every open source `.xlsx` parser available.