How to Convert Excel to JSON for Imports and APIs

Excel is the lingua franca of business data. Converting XLSX spreadsheets to JSON is the essential first step for feeding that data into APIs, databases, and modern applications. Our Excel to JSON converter handles multi-sheet workbooks in your browser without any server upload.

Multi-Sheet Workbooks

Most Excel files contain multiple sheets. The converter displays all sheet names after upload and lets you switch between them. The first sheet is selected by default. Each sheet is converted independently — run the tool once per sheet if you need multiple outputs.

Header Row Strategy

With the header-row option enabled, the first row becomes JSON object keys. This is the right choice for data tables where row 1 contains column names. If your sheet has no header row — for example a matrix of values — disable the option and each row becomes a raw array.

Values Only — No Formula Recalculation

The converter reads stored cell values only. Formulas are not recalculated in the browser. If a cell contains =SUM(A1:A5), the exported JSON will contain the last computed result, not the formula string. This is the correct behavior for data migration — you want the values, not the formulas.

import pandas as pd
import json

df = pd.read_excel("data.xlsx", sheet_name="Sheet1")
data = df.to_dict(orient="records")

with open("output.json", "w") as f:
    json.dump(data, f, indent=2)