JSON to Excel — Free Online JSON to Excel Converter with Built-in Table Editor

What Is Excel?

Microsoft Excel is the world's most widely used spreadsheet application. It stores data in workbooks containing worksheets with rows and columns of cells.

Excel File Formats

This tool outputs XLSX format — the modern Excel standard.

Why Convert JSON to Excel?

Core Features

1. Dual Input Modes

• File Upload: Drag and drop or select a .json file.

• Code Editor: Paste or type raw JSON with syntax highlighting and real-time validation.

2. Online Table Editor

After converting JSON, the data appears in an interactive spreadsheet grid where you can edit before downloading.

Editing Operations

Case Transform

Row and Column Management

Right-click any cell to access:

• Insert Row Above / Below

• Insert Column Left / Right

• Delete Row / Column

• Clear Cell / Clear Row

First Row as Header

Toggle whether the first data row is treated as column headers. When enabled:

• Headers are visually distinct

• Header row is excluded from sort/filter operations

• Row count shows "(1 header)" indicator

3. Auto Width

Automatically adjusts column widths in the output Excel file based on the longest value in each column. When disabled, all columns use a default width.

4. Sheet Name

Set the worksheet name in the Excel file. Default is typically "Sheet1".

Sheet name examples: "Users", "Q1 Sales", "Raw Data", "Results"

Rules:

• Max 31 characters

• Cannot contain: \, /, *, ?, :, [, ]

• Must be unique within the workbook

• Cannot be blank

5. Protect Sheet

Enables worksheet protection on the output Excel file. When enabled:

• Cell values are visible but cannot be edited

• Structure is locked (no insert/delete of rows/columns)

• Users must unprotect to modify data

Use this when sharing data that should be read-only.

6. Privacy by Design

All processing runs entirely in your browser. No data is uploaded to any server.

How to Use This JSON to Excel Converter?

Step 1: Provide Your JSON Data

Choose one of two input methods:

• Upload a file: Click "Choose File" and select a .json file, or drag it into the upload area.

• Paste data: Click "Enter Data" to switch to the code editor. Paste your JSON array. A "Valid JSON" badge confirms correct formatting.

Important: The tool expects a JSON array of objects. Each object becomes a row; keys become column headers.

Step 2: Convert and Edit

Click Convert. The data loads into the Online Table Editor where you can:

1. Edit cells — click any cell and type

2. Transpose — swap rows and columns

3. Deduplicate — remove duplicate rows

4. Replace — find and replace values

5. Transform case — uppercase, lowercase, or title case

6. Insert/delete — right-click for row/column operations

7. Toggle header — enable/disable First Row as Header

Step 3: Configure Excel Output

Use the Properties panel:

1. Auto Width: Enable for auto-sized columns.

2. Sheet Name: Enter a worksheet name (e.g., "Users").

3. Protect Sheet: Enable for read-only protection.

Step 4: Download

Click Download File to save the .xlsx file.

Complete Examples

Example — User Directory

Input JSON:

[
   {"id": 1, "name": "Alice", "department": "Engineering", "salary": 95000},
   {"id": 2, "name": "Bob", "department": "Marketing", "salary": 78000},
   {"id": 3, "name": "Charlie", "department": "Engineering", "salary": 102000},
   {"id": 4, "name": "Diana", "department": "Design", "salary": 85000},
   {"id": 5, "name": "Eve", "department": "Marketing", "salary": 72000}
]

Workflow:

1. Paste JSON → Convert

2. Click "First Row as Header" to set id, name, department, salary as headers

3. Click "Deduplicate" to check for duplicates

4. Set Sheet Name to "Employee Directory"

5. Enable Auto Width

6. Download → employee_directory.xlsx

Example — API Response Transposed

Input JSON:

[
   {"metric": "revenue", "q1": 100000, "q2": 120000, "q3": 115000, "q4": 140000},
   {"metric": "customers", "q1": 500, "q2": 550, "q3": 580, "q4": 620}
]

Workflow:

1. Paste JSON → Convert

2. Click Transpose to show quarters as rows and metrics as columns

3. Download

Example — Cleaned Data

Workflow with dirty data:

1. Paste JSON → Convert

2. Click Delete Empty to remove empty rows/columns

3. Use Replace to fix inconsistent values (e.g., replace "N/A" with "")

4. Use Abc (Title Case) to standardize name formatting

5. Click Deduplicate to remove duplicate records

6. Download cleaned .xlsx

JSON vs. Excel — When to Use Each

Frequently Asked Questions (FAQ)

• Does the tool upload my data?

  No. All conversion happens locally in your browser using JavaScript. Your data never leaves your device.

• What Excel format does the tool output?

  The tool outputs XLSX format (Office Open XML) — the modern Excel standard compatible with Microsoft Excel 2007+, Google Sheets, LibreOffice Calc, and Apple Numbers.

• What is the Online Table Editor?

  After converting JSON, data loads into an interactive spreadsheet grid where you can edit cells, transpose rows/columns, deduplicate, find/replace, change case, and insert/delete rows and columns — all before downloading the Excel file.

• What does Transpose do?

  It swaps rows and columns. Column headers become the first column; each row becomes a column. Useful when your JSON data is organized by metric but you need it organized by time period (or vice versa).

• What does Deduplicate do?

  It removes rows that are exact duplicates of a previous row. All columns must match for a row to be considered a duplicate.

• What does Protect Sheet do?

  It enables worksheet protection on the output Excel file. Recipients can view the data but cannot edit cells or modify the sheet structure without unprotecting it first.

• What input format is required?

  A JSON array of objects: [{"key": "value"}, ...]. Each object becomes one row. Object keys become column headers.

• Can I edit the data before downloading?

  Yes. The built-in table editor lets you modify any cell value, add/remove rows and columns, transpose, deduplicate, and transform text case before generating the Excel file.

• Is there a file size limit?

  The tool processes data entirely in your browser. Files up to 10 MB typically convert without issues on modern hardware.

• Can I use this on mobile?

  Yes. The tool is responsive, though the table editor is best experienced on desktop.