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
Who is this for?
Data Migration
Developers migrating data from legacy systems (SQL exports) to NoSQL databases like MongoDB.
Frontend Development
Frontend devs needing to mock API responses using data provided by business teams in Excel.
Data Visualization
Analysts converting spreadsheet data to JSON for use with charting libraries like D3.js or Chart.js.
How to Use
Paste your CSV data or upload a .csv file.
Specify if the first row contains headers.
Choose your delimiter (comma, tab, etc.).
Click 'Convert' to generate the JSON.
Copy the result or download as a .json file.
Examples
Input
id,name,role
1,Alice,Admin
2,Bob,UserOutput
[
{
"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