JSONToTable

JSON to Table Converter - Free Online Tool

Convert Complex JSON to HTML Table with Nested Structure Support

Transform your JSON data into beautiful, readable HTML tables instantly. Our free online JSON to table converter supports complex nested structures, arrays, and objects. Features include real-time conversion, Excel export, inline editing, filtering, and responsive design. Perfect for developers, data analysts, and anyone working with JSON data.

Key Features:

Supported JSON Types:

No registration required. Start converting your JSON data to tables immediately. Our tool handles everything from simple key-value pairs to complex nested structures with arrays and objects. Export your results to Excel for further analysis or share them with your team using our built-in sharing feature.

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How to Convert JSON to Table - Step by Step Guide

Step 1

Input Your JSON Data

Alright, let's get your JSON into the converter! You've got three super easy options here:

•
Just paste it in: Got some JSON from an API call or database? Just copy and paste it into the left editor. Easy peasy! 🍰
•
Upload a file: Have a .json file sitting on your computer? Click that upload button and select it. Works with .txt files too!
•
Not sure? Try the sample: Click "Sample" to load some example data and see the magic happen. Perfect for testing things out! ✨

Example: Try This Simple JSON

Copy and paste this JSON example to see how it works: 😊

{
  "name": "Alex Johnson",
  "email": "alex@company.com",
  "age": 28,
  "department": "Engineering",
  "active": true
}
Step 2

See Automatic Table Generation

Here's where things get cool! 🎉 The moment you paste or type JSON, the tool springs into action. No "convert" button to click, no waiting around - it just works! Here's what happens behind the scenes:

•
Real-time conversion: See your table update instantly as you modify the JSON
•
Nested structure handling: Complex nested objects and arrays are automatically organized into readable tables
•
Error detection: Invalid JSON is highlighted with helpful error messages and suggestions

Single Object → Key-Value Table

Input JSON (single object):

{
  "name": "Alex Johnson",
  "email": "alex@company.com",
  "age": 28,
  "department": "Engineering",
  "active": true
}

Output table (key-value pairs): ✨

keyvalue
nameAlex Johnson
emailalex@company.com
age28
departmentEngineering
activetrue

Array of Objects → Column-Based Table

Input JSON (array of objects):

[
  {
    "id": 1,
    "product": "Laptop",
    "price": 999.99,
    "category": "Electronics",
    "inStock": true
  },
  {
    "id": 2,
    "product": "Mouse",
    "price": 29.99,
    "category": "Accessories",
    "inStock": false
  },
  {
    "id": 3,
    "product": "Monitor",
    "price": 299.50,
    "category": "Electronics",
    "inStock": true
  },
  {
    "id": 4,
    "product": "Keyboard",
    "price": 79.99,
    "category": "Accessories",
    "inStock": true
  }
]

Output table (column-based): 🎉

idproductpricecategoryinStock
1Laptop999.99Electronicstrue
2Mouse29.99Accessoriesfalse
3Monitor299.50Electronicstrue
4Keyboard79.99Accessoriestrue

Perfect for spreadsheet-like data! Arrays become columns automatically.

Step 3

Customize and Filter Your Table

Now we're getting to the fun stuff! 🎮 Once your table is generated, you've got some pretty neat tricks up your sleeve:

•
Filter data: Use the search box to find specific rows or values in your table
•
Filter data: Use the search box to quickly find specific data within your tables
•
Maximize view: Click "Maximize" for fullscreen table view when working with large datasets

Example: Nested Objects → Tables Within Tables

Try this nested JSON:

{
  "company": "TechCorp Inc",
  "employees": [
    {
      "id": 101,
      "name": "Sarah Wilson",
      "department": "Engineering",
      "contact": {
        "email": "sarah@techcorp.com",
        "phone": "+1-555-0123",
        "address": {
          "street": "123 Main St",
          "city": "San Francisco",
          "state": "CA"
        }
      },
      "projects": [
        {
          "name": "Mobile App",
          "status": "active",
          "budget": 50000
        },
        {
          "name": "Website Redesign",
          "status": "completed",
          "budget": 25000
        }
      ]
    }
  ],
  "totalEmployees": 150
}

Creates nested tables:

keyvalue
companyTechCorp Inc
employees
idnamedepartmentcontactprojects
101Sarah WilsonEngineering
Contact Info:
sarah@techcorp.com
+1-555-0123
123 Main St, San Francisco, CA
Projects:
Mobile App (active) - $50,000
Website Redesign (completed) - $25,000
totalEmployees150

* Nested objects and arrays appear as sub-tables within cells

Step 4: Edit Data Directly in the Table

This is where things get really handy! 🛠️ Want to tweak your data but don't want to mess with the JSON directly? We've got you covered:

•
Enable edit mode: Click the "Edit" button to activate cell editing
•
Edit cells: Click any cell to modify its value - the JSON updates automatically
•
Remove columns: In edit mode, click the trash icon next to column headers to remove unwanted data

Example: Edit Mode in Action

When you click "Edit" and then click on a cell, you can change values directly. For example, change John's department from "Engineering" to "Marketing" and watch the JSON update automatically! 🪄

💡 Pro tip: Use edit mode to clean up data, fix typos, or remove sensitive information before sharing.

Step 5: Export and Share Your Results

Time to take your beautifully organized data and do something with it! 🚀 Here are your options for getting it out of here:

•
Excel export: Click "Excel" to download a .xls file that preserves nested table structures
•
Share with team: Click "Share" to generate a link that others can use to view your JSON data
•
Copy updated JSON: After editing, copy the modified JSON from the left editor for use in your applications

Example: Real API Response

Perfect for complex API responses like this e-commerce order data: 🔥

{
  "orders": [
    {
      "orderId": "ORD-2024-001",
      "customer": "Tech Solutions Inc",
      "amount": 1299.99,
      "status": "shipped",
      "items": ["Laptop", "Mouse", "Keyboard"]
    },
    {
      "orderId": "ORD-2024-002",
      "customer": "Digital Marketing Co",
      "amount": 599.50,
      "status": "processing",
      "items": ["Monitor", "Webcam"]
    }
  ],
  "totalRevenue": 1899.49,
  "orderCount": 2
}
This creates: Main table with key-value pairs + "orders" cell contains a sub-table with order details + "items" arrays shown as comma-separated values

Frequently Asked Questions

How do I convert JSON to a table?

Simply paste your JSON data into the input area or upload a JSON file. The tool instantly converts it to a readable table format. For nested JSON objects and arrays, it creates sub-tables within cells to maintain the data structure.

Can I download the table as Excel or CSV?

Yes! Click the "Export to Excel" button to download as .xlsx file, or use "Copy" to get the data for pasting into spreadsheets. The export preserves your table structure including nested data.

What if my JSON file is too large or complex?

The tool handles large JSON files efficiently. Use the search box to find specific data, or the filter feature to flip rows and columns for better viewing. Very large datasets are processed in chunks for smooth performance.

My JSON has errors - can this tool fix them?

Yes! The tool shows exactly where JSON syntax errors occur with line numbers. It can auto-fix common issues like missing commas, trailing commas, and unquoted keys. For more complex JSON repair needs, try the JSON Fixer tool.

Is this tool completely free?

Yes, completely free with no file size limits, no registration required, and no watermarks on exports. All features are available to everyone at no cost.