Free Excel to JSON converter — turn .xlsx, .xls or .csv rows into JSON in your browser

Supports .xlsx, .xls, .csv and .ods. Your file is parsed in your browser and never uploaded.

JSON output

📊 Excel to JSON Converter — Free Online Tool

Convert Excel (XLSX/XLS/CSV) to JSON online, free. Spreadsheets store tabular data in the Office Open XML (.xlsx, ECMA-376) and legacy .xls formats, but APIs and code expect JSON. This converter reads your workbook in the browser, takes the first row as field names, and turns every following row into a JSON object — with optional multi-sheet output — so you can move spreadsheet data straight into code, a database seed, or an API payload.

🚀 Why use this Excel to JSON Converter tool?

The spreadsheet is parsed entirely in your browser with the SheetJS library; only the library is fetched from a CDN — your file itself is never uploaded, logged, or stored. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.

Key Features

📥XLSX, XLS, CSV & ODS

Reads modern .xlsx, legacy .xls, comma-separated .csv and OpenDocument .ods files — pick a file and it parses instantly.

🧱Headers become keys

The first row is treated as column headers, so each data row becomes a JSON object keyed by those names — ready for code.

🗂️Multi-sheet support

Convert just the first worksheet, or tick Include all sheets to export every sheet as a named object in one JSON document.

🔒100% private

Parsing runs locally in your browser via SheetJS; your spreadsheet is never sent to a server, so it is safe for confidential data.

Popular Use Cases

Data migration

  • Seed a database from a spreadsheet
  • Import a client's Excel export
  • Move tabular data into code

APIs & testing

  • Build a JSON request body from rows
  • Generate test fixtures from a sheet
  • Mock data for a frontend

Reporting

  • Feed spreadsheet data to a chart library
  • Transform rows for a pipeline
  • Inspect a sheet as structured JSON

What It Handles

Reads

  • .xlsx & .xls
  • .csv
  • .ods

Outputs

  • Array of row objects
  • Multi-sheet object
  • Copy or download .json

Privacy

  • Parsed in-browser (SheetJS)
  • File never uploaded
  • Library from CDN only

Sources & References

Frequently Asked Questions

How does Excel to JSON conversion work?

The tool reads your workbook in the browser, uses the first row of a sheet as the field names, and maps each subsequent row to a JSON object — cell values become the property values. The result is an array of objects (one per row), exactly what most APIs and code expect.

Can I convert multiple sheets at once?

Yes. By default only the first worksheet is converted. Tick 'Include all sheets' and the output becomes a single JSON object whose keys are the sheet names, each mapping to that sheet's array of row objects.

Is my spreadsheet uploaded to a server?

No. The file is parsed entirely in your browser using the SheetJS library. Only that library is loaded from a CDN; your spreadsheet's contents never leave your device, which makes the tool safe for sensitive or internal data.

Is there a free alternative to CodeBeautify's Excel to JSON tool?

Yes — this converter is free with no signup and, unlike many hosted tools, parses your file in the browser so nothing is uploaded. It supports .xlsx, .xls, .csv and .ods with single- or multi-sheet output.

What happens to empty cells and dates?

Empty cells are emitted as null so every row keeps a consistent shape. Dates are parsed as date values (cellDates) and serialized in ISO-style form, so they stay machine-readable rather than appearing as Excel serial numbers.

What file formats are supported?

The converter handles Office Open XML (.xlsx), the legacy Excel binary format (.xls), comma-separated values (.csv) and OpenDocument spreadsheets (.ods) — the formats SheetJS reads natively.

🎓 Pro Tips

  • Tip 1: Make sure your first row contains clean header names — they become the JSON keys, so avoid blank or duplicate headers.
  • Tip 2: For very large workbooks, convert one sheet at a time; serializing every sheet to JSON at once uses more memory.
  • Tip 3: If dates come through oddly, format the column as a real date in Excel before converting so it isn't stored as text.