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CSV to JSON
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Developer & Data formatters/CSV to JSON

CSV to JSON Converter — Free, Fast & Secure

Convert CSV files to JSON format online. Parse CSV data to array of objects or keyed objects. Works offline in your browser.

What is CSV to JSON?

A CSV to JSON Converter is a powerful data transformation tool designed for developers and data analysts who need to bridge the gap between spreadsheet data and web applications. CSV (Comma Separated Values) is the standard format for data export from Excel, Google Sheets, and legacy databases, while JSON (JavaScript Object Notation) is the native language of the web and modern APIs. This tool provides a seamless way to convert your tabular CSV data into structured JSON objects. It handles complex parsing scenarios, including custom delimiters, quoted fields, and header row detection. Whether you are migrating a database, seeding a new application with data, or visualizing spreadsheet data in a web dashboard, this tool automates the conversion process. It processes everything client-side, meaning your large datasets and sensitive financial or user records are never uploaded to the cloud.

Input Formats

  • CSV text
  • .csv files
  • Tab-separated values (TSV)
  • Excel exports (saved as CSV)

Output Results

  • JSON Array of Objects
  • Minified JSON
  • Keyed JSON Object

Key Features

Instant Conversion: Transform thousands of rows into JSON in seconds
Custom Delimiters: Support for commas, tabs, semicolons, and pipes
Flexible Output: Choose between Array of Objects or Keyed Objects
Privacy: No server uploads required; 100% client-side processing
Header Detection: Automatically uses the first row as JSON keys
Data Parsing: Attempts to convert numbers and booleans from text
Large File Support: Process massive CSV exports without crashing
Best & Modern: The best modern tool to convert CSV to JSON for free
Shareable LinksShare your CSV data and the converted JSON output via a link. (Limit: 10KB)

Who is this for?

Data Migration

Developers migrating data from legacy systems (SQL exports) to NoSQL databases like MongoDB.

Data migrationETLMongoDB importNoSQLLegacy systemDatabase seeding

Frontend Development

Frontend devs needing to mock API responses using data provided by business teams in Excel.

Mock dataFrontendReactVueAPI mockingPrototype

Data Visualization

Analysts converting spreadsheet data to JSON for use with charting libraries like D3.js or Chart.js.

D3.jsChart.jsData vizDashboardBusiness intelligence

How to Use

1

Paste your CSV data or upload a .csv file.

2

Specify if the first row contains headers.

3

Choose your delimiter (comma, tab, etc.).

4

Click 'Convert' to generate the JSON.

5

Copy the result or download as a .json file.

Examples

Input

id,name,role
1,Alice,Admin
2,Bob,User

Output

[
  {
    "id": "1",
    "name": "Alice",
    "role": "Admin"
  },
  {
    "id": "2",
    "name": "Bob",
    "role": "User"
  }
]

Common Errors

  • Mismatched column counts
  • Unescaped quotes within fields
  • Missing header row
  • Inconsistent delimiters

Code Examples

JavaScript

const csv = 'name,age\nAlice,30';
const lines = csv.split('\n');
const headers = lines[0].split(',');
// ... parsing logic

Frequently Asked Questions

Does it handle large files?
Yes! I run efficiently in your browser, so I can handle large CSV files (hundreds of MBs) as long as your device has enough memory.
Can I convert Excel files?
First, save your Excel file as '.csv'. Then upload it here, and I'll convert it to JSON for you instantly.
What if my CSV uses semicolons?
I'm smart enough to detect common delimiters! Or you can manually select semicolon, tab, or pipe if needed.
Are data types preserved?
CSV is just text, but I can try to auto-detect numbers and booleans to give you a cleaner JSON output.
Is my data private?
Yes, absolutely. I process everything on your device. Your data never goes to any server.
Can I reverse this process?
Sure! Use my 'JSON to CSV' tool to turn your JSON back into a spreadsheet format.
How are nested fields handled?
CSV is flat, but if you use dot notation (like 'address.city') in headers, some advanced parsers can structure it. I focus on a direct conversion.