XLSX JSON
File conversion

Convert XLSX to JSON

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Is it possible to convert XLSX to JSON?
Yes - XLSX converts to JSON.

The fastest route is the free converter on this page: upload your .xlsx and download the .json in seconds, with your file deleted after converting. For large workbooks or multiple sheets, Python with pandas is the most reliable option. Note that formulas are replaced by their last-calculated values and cell formatting is not carried over.

Also to JSON: BDOB · EXPRESS · REPLIT

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Tested on macOS, Windows & Linux
Last verified Oct 2026

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Why convert XLSX to JSON?

JSON is the standard format for web APIs and JavaScript applications, so feeding spreadsheet data into a web service or frontend app usually requires a JSON file. Developers also use it to load tabular data into databases or configuration systems. See .JSON for a full format overview.

How to convert XLSX to JSON

Command line - pandas CLI

Requires pandas and openpyxl; run python -c "import pandas as pd; pd.read_excel('data.xlsx').to_json('out.json', orient='records')".

Google Sheets + Apps Script FREE

Open your .xlsx in Google Sheets, then use Extensions > Apps Script to run a script that exports the active sheet as JSON.

About these formats

Quality & what to watch

  • Formulas are not preserved - only the last-calculated cell value appears in the JSON output.
  • Only the first sheet is exported by default; multi-sheet workbooks need explicit handling in code.
  • Dates, cell formatting, charts, and pivot tables are not transferred to JSON.

Frequently asked questions

Does the JSON include all sheets in a workbook?
No, most tools export only the first sheet by default. With pandas, use sheet_name=None to read all sheets and export them as a JSON object keyed by sheet name.
Are formulas preserved in the JSON output?
No - the output contains computed values only, and formula text is discarded. Extracting formulas requires parsing the .xlsx XML directly.
What does the JSON structure look like?
With the records orientation, each row becomes a JSON object and the full file is an array: [{"Name":"Alice","Age":30},...]. Column headers become the object keys.
How are Excel dates handled in JSON?
pandas converts Excel date serial numbers to ISO 8601 date strings, but some online converters output raw numbers instead of readable dates.