Convert Excel to JSON

Transform spreadsheets into structured JSON data for developers and APIs.

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How to Convert Excel to JSON?

Turn your spreadsheets into lightweight, programmatic JSON data. Perfect for populating databases or seeding applications.

Upload Excel

Drag & drop your .xlsx or .xls file. We'll read every sheet in your workbook.

Structure & Parse

We parse rows into objects and format values (dates, numbers) correctly.

Download JSON

Get a single .json file containing all your data, ready to use in your code.

Developer Fact

JSON (JavaScript Object Notation) is the language of the web. Converting Excel to JSON lets you immediately use your data in React, Vue, or Node.js apps.

Behind the Code

Structured Data. ISO Ready.

Converting Excel to JSON is critical for modern web development, but getting the structure right is hard. Dates often break, and nested sheets are ignored by basic tools.

We use Python's Pandas to solve this. It reads your entire workbook, treating each sheet as a key and its rows as an array of objects. We automatically convert Excel serial dates into standard ISO 8601 strings so your APIs can read them instantly.

Everything is encoded in strict UTF-8, ensuring that accents, special symbols, and emojis are preserved perfectly in the JSON output.

From Spreadsheet to API

Excel is where business data lives, but JSON is where applications run. Bridging this gap manually involves complex CSV parsing or writing custom scripts.

Our Excel to JSON converter handles the heavy lifting. It transforms rows and columns into key-value pairs, converting your static spreadsheet into a dynamic data object that developers can use immediately.

Excel vs. JSON

Feature

Excel (.xlsx)

JSON (.json)

Structure

Grid (Rows/Cols)

Tree (Key/Value)

Usage

Analysis & Viewing

Web APIs & Code

Data Types

Loose / Visual

Strict (String, Number)

Readability

Human Readable

Machine Readable

Key Terminology

Array []

A list of items. In our output, each Sheet is an array of row objects.

Object {}

A collection of key-value pairs. Each row in your Excel becomes one Object.

Key

The identifier for a value (e.g., 'Name' or 'Price'). This comes from your Excel header row.

ISO 8601

The international standard for date strings (e.g., 2024-12-31). We convert Excel dates to this automatically.

Tips for Developers

First Row as Headers: Ensure the first row of your Excel file contains clear, unique names. These become your JSON keys.
Clean Keys: Avoid spaces or special characters in header names if possible (e.g., use 'first_name' instead of 'First Name') for easier coding.
Flat Structure: JSON can be nested, but Excel is flat. Avoid merged cells or complex layouts for the best result.

Engine Specs

Input FormatXLSX, XLS

Output FormatJSON

ProcessingPandas Engine

EncodingUTF-8

SpeedInstant

Security Encrypted

Private & Secure

Your data is processed in isolated containers and instantly deleted. We do not store or peek at your data.

Enterprise Ready

Trusted by Devs

"This saves me hours of writing python scripts. I just drop the client's Excel file and get a ready-to-use JSON."

Alex K.

Frontend Dev

"The ISO date handling is perfect. Other tools mess up Excel dates, this one gets it right."

Priya P.

Data Engineer

Common Questions

How are multiple sheets handled?

We return a single JSON object where each sheet name is a key, containing an array of records for that sheet. { 'Sheet1': [...], 'Sheet2': [...] }.

Does it support nested JSON?

Excel is a flat 2D grid, so the output is an array of flat objects. We do not infer nesting from cell content, ensuring predictable structure.

What happens to empty cells?

By default, empty cells are included as null values or empty strings, ensuring your array structure remains consistent for every row.

Is it safe for API tokens/Keys?

Yes, but we recommend not uploading sensitive keys to any public tool. However, our system deletes files instantly after processing.

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