Convert Excel to JSON

Transform Excel spreadsheets (XLSX, XLS) into structured, developer-ready JSON. Handles multiple sheets, dates, and Unicode intelligently.

4.9/5 - 1,842 votes

Drag & Drop images here

or click to browse from your device

Table of Contents

Convert Excel to JSON

Seamlessly transform spreadsheets into lightweight, programmatic JSON data. Perfect for seeding databases, config files, or API mocks.

1

Upload Excel

Drag & drop your .xlsx or .xls file. We handle large files and multi-sheet workbooks.

2

Parse & Structure

Our engine reads every sheet, converting rows into objects and fixing date formats.

3

Download JSON

Get a single .json file containing all your data, ready for immediate use.

Why JSON?

JSON (JavaScript Object Notation) is the lightweight data-interchange format of the web. By converting Excel to JSON, you make your data instantly usable by React, Vue, Node.js, and Python applications.

Built for Developers

Precision Parsing

We don't just "save as". We intelligently map your spreadsheet logic to JSON objects.

Multi-Sheet Dictionary

Each sheet in your workbook becomes a top-level key in the JSON object, keeping data organized.

Unicode Safe

Japanese, Arabic, Emojis—we preserve everything using strict UTF-8 encoding.

Type Awareness

Numbers stay numbers, and booleans stay booleans. We try to avoid converting everything to strings.

API Ready

The output is minified but structured, ready to be served by an API endpoint or imported into a NoSQL DB.

Format Breakdown
FeatureExcel (XLSX)JSON
StructureGrid (Rows/Cols)Key/Value Pairs
InteroperabilityRequires Office AppsUniversal (Web/Apps)
Parsing SpeedSlow (XML Overhead)Instant (Native JS)
Use CaseHuman ReportingApplication State/API

Who Needs This?

From frontend devs to data engineers, JSON is the standard.

Frontend Devs

  • Seed React/Vue apps
  • Create mock API data
  • Import config files

Data Engineers

  • NoSQL (MongoDB) import
  • Log processing
  • Data exchange format

API Integrators

  • Payload construction
  • Webhook testing
  • Standardizing inputs

Loved by Developers

Join thousands of developers offering us 5-star feedback.

"I used to write python scripts for this every time. This tool just works, especially with the date formatting."

S
Sarah Jenks
Full Stack Dev

"Perfect for initializing my mobile app's local database from client-provided spreadsheets."

D
David Wu
React Native Dev

"The support for multiple sheets is the killer feature. Most other online tools only do the first sheet."

E
Elena R.
Data Analyst
Backend Architecture

Structured Data,
ISO Standardized.

Converting Excel to JSON is critical for modern web development, but getting the structure right can be a nightmare. Dates often break, mixed types cause errors, and multi-sheet workbooks are ignored by simpler tools.

We utilize Pandas, the gold standard in Python data analysis, to power this converter. Unlike basic parsers, we load the entire workbook into a structured DataFrame. This allows us to strictly enforce data types (ensuring numbers are actually numbers, not strings) and convert Excel's proprietary serial dates into standard ISO 8601 strings.

The result is a clean, dictionary-style JSON object where each sheet name corresponds to an array of records, ready for immediate consumption by your API or frontend application.

Powered by Python Pandas

Sheet-Keyed

Each sheet becomes a key in the root JSON object.

UTF-8 Strict

Emojis, Asian scripts, and special symbols are preserved.

ISO 8601 Dates

Dates converted to standard YYYY-MM-DD format.

Understanding the Conversion

Excel files (`.xlsx`) are XML-based visual grids. JSON (JavaScript Object Notation) is a text-based format for representing structured data. Bridging these two requires mapping column headers (likely strings) to standard JSON keys.

Why convert?

  • Web Compatibility: Browsers understand JSON natively. You can use `fetch()` or `import` to load it directly.
  • Schema Enforcement: While Excel is loose, JSON encourages a more repetitive, schema-like structure (Array of Objects), making it validation-friendly.
  • Automation: JSON files are easily readable by CI/CD pipelines, test scripts, and configuration managers.

JSON Data Dictionary

Key

A string identifier (e.g., 'email'). Corresponds to your Excel header.

Value

The data assigned to a key. Can be a string, number, boolean, array, or object.

Array

An ordered list of values, enclosed in square brackets [ ].

Parsing

The process of analyzing a string of symbols (the file) according to the rules of a formal grammar (JSON).

Best Practices for Clean JSON

Use CamelCase Headers

Using `firstName` instead of `First Name` produces cleaner JSON keys that are easier to access in code (e.g. `user.firstName`).

Avoid Merged Cells

JSON has no concept of 'merged'. Unmerge cells to ensure every record has the correct data associated with it.

Frequently Asked Questions

Secure Data Pipeline

Security Built for
Mission Critical Data.

We treat every file as sensitive. Our pipeline completely bypasses disk storage for processed files whenever possible, using RAM-only processing.

Instant Purge

Files are deleted from RAM and temporary storage immediately after download generation.

TLS 1.3 Encryption

All transfers are encrypted using the latest transport layer security protocols.

System Status
100%
Parsed
0
Leaks
"Your data remains yours. We just provide the compute power to transform it."

About the Author

Author

Abu Nayem

SaaS Architect & Full Stack Dev

Building high-performance tools with Next.js and Python. Focused on privacy-first architecture and seamless UX.

ProfileContact