Paste any CSV data and instantly get clean, valid JSON output. Supports headers, custom delimiters, and quoted fields. Free, private, no signup required.
Open CSV to JSON Converter →CSV (Comma-Separated Values) and JSON (JavaScript Object Notation) are two of the most common data interchange formats used in software development. CSV is the default export format of spreadsheet tools like Microsoft Excel, Google Sheets, and database query tools. JSON is the standard format consumed by web APIs, JavaScript applications, and most modern backend services.
Converting CSV to JSON is a routine task for developers who need to:
The conversion maps each CSV row to a JSON object. Column headers from the first row become the keys of each object, and each subsequent row becomes one element in the resulting JSON array.
Example input CSV:
name,age,city Alice,30,New York Bob,25,San Francisco
Resulting JSON output:
[
{ "name": "Alice", "age": "30", "city": "New York" },
{ "name": "Bob", "age": "25", "city": "San Francisco" }
]
.json file.No account is needed. No data is sent to any server. The conversion happens entirely in your browser, so you can safely use it with confidential business data.
Product catalogs, user lists, and configuration tables are often maintained in Excel or Google Sheets. Exporting to CSV and converting to JSON gives you a format ready to POST to a REST API or insert directly via a script using Node.js, Python, or any language with a JSON parser.
Frontend developers often need realistic datasets to test tables, charts, and data-heavy components. Rather than hand-writing JSON arrays, export sample data from any spreadsheet and convert it to JSON in seconds. The result can be dropped directly into a mockData.json file or pasted into a React/Vue component.
Many third-party services (Stripe, Salesforce, HubSpot) provide data exports as CSV. Converting these exports to JSON allows you to process and re-upload the data to another API, or to pipe it through tools like jq for further transformation in a shell script.
While Python's pandas library handles CSV natively, some analytics workflows and tools (such as Elasticsearch, MongoDB, or Firebase) expect JSON. A quick browser-based conversion is the fastest way to prepare a small dataset without writing a script.
The "comma" in CSV is a convention, not a requirement. Many real-world CSV exports use different separators:
| Delimiter | Common source | Character |
|---|---|---|
| Comma | Excel, Google Sheets (EN locale) | , |
| Semicolon | Excel (EU locale), SAP exports | ; |
| Tab (TSV) | Database dumps, copy-paste from tables | \t |
| Pipe | Legacy systems, log files | | |
If your conversion produces garbled output, the most likely cause is a mismatched delimiter. Check the first row of your file to identify which character separates the columns.
Yes. The tool supports comma, semicolon, tab, and pipe delimiters. Select the correct delimiter before converting and the columns will be parsed correctly. If your file uses a less common separator, you can find-and-replace it in a text editor first.
Yes, by default the converter treats the first row as a header row. Each column name becomes a key in the JSON objects. Every subsequent row becomes one object in the output array. If your CSV has no headers, the tool can use numeric indices (0, 1, 2...) as keys instead.
No. All conversion logic runs entirely in your browser using JavaScript. Your data never leaves your device. This makes the tool safe for sensitive spreadsheets containing personal data, financial records, or confidential business information.
Since conversion happens in the browser, the practical limit depends on your device's available memory. The tool handles tens of thousands of rows without issues. For very large files (millions of rows), a server-side script using Python's csv module or Node.js's csv-parse library is a better choice.
Free, instant, 100% private. No account needed.
Open CSV to JSON Converter →Also useful: YAML to JSON Converter | XML to JSON Converter | JSON Validator | JWT Decoder