CSV to JSON converter

Convert CSV data to JSON format with custom delimiters

CSV input

Paste your CSV data here

Delimiter

First row is header

Pretty print JSON

JSON output

Converted JSON data

How to use this tool

Paste your CSV data into the input field
Select the delimiter used in your CSV (comma, semicolon, tab, or pipe)
Check "First row is header" if your CSV has column names in the first row
Enable "Pretty print JSON" for readable output, or disable for compact JSON
Click "Convert to JSON" to perform the conversion
Copy the output or download it as a .json file

Example

CSV input:

name,age,city
Alice,28,Portland
Bob,35,Seattle

JSON output:

[
  {
    "name": "Alice",
    "age": "28",
    "city": "Portland"
  },
  {
    "name": "Bob",
    "age": "35",
    "city": "Seattle"
  }
]

Frequently asked questions

What is CSV?

CSV (Comma-Separated Values) is a simple file format for storing tabular data. Each line represents a row, and values are separated by commas (or other delimiters).

What delimiters are supported?

Common delimiters include comma (,), semicolon (;), tab, and pipe (|). Choose the one that matches your CSV file.

What if my CSV has headers?

Enable "First row is header" to use the first row as JSON object keys. Disable it to convert rows to arrays.

Should I use pretty print?

Pretty print adds indentation for readability. Disable it for compact JSON (useful for APIs or storage).

Can I convert large CSV files?

Yes, but very large files may slow down your browser. For files over 10MB, consider using a desktop tool.

Related tools

CSV to JSON converter

How the csv to json converter helps

Use the CSV to JSON converter when spreadsheet-style rows need to become structured JSON for an import, prototype, API test, static data file, or developer handoff. CSV is simple and compact, but JSON is often easier for applications because each value can be attached to a named key.

Utility Tally tools are built for quick, practical workflows: prepare the input, review the result, copy or download the output, and move on without creating an account. The guidance below explains how to use this page responsibly, what the result means, and which related tools or guides can help with the next step.

For best results, start with sample or non-sensitive data when you are learning a tool, then move to real work only after you understand the output. If the result will be sent to a client, imported into software, printed, published, or used in a security-related workflow, take an extra minute to verify formatting, totals, links, spelling, privacy, and destination requirements.

How to use it

Paste CSV data with a clear header row when possible.
Check delimiter and quote behavior if the source has commas inside values.
Convert the rows and review the JSON output.
Look for blank columns, inconsistent headers, or values that should be numbers or booleans.
Copy the JSON into your import, script, or test fixture.

How it works

The converter reads the header row as field names, then maps each following row into an object where each cell belongs to the matching header. The resulting objects are placed inside a JSON array. Clean headers and consistent columns produce the most predictable output.

The result should be treated as a working output, not a substitute for professional review where tax, security, accessibility, legal, accounting, or production data requirements apply. Check the destination system, final format, and any local rules before relying on the result.

Practical tips

Use short, stable header names because they become JSON keys.

Check rows with quoted commas, line breaks, or empty values before using the result in production.

CSV does not preserve data types reliably, so some values may remain strings.

For large or critical data migrations, validate the output with the destination system.

CSV to JSON Converter FAQ

Does the first CSV row become JSON keys?

Usually yes. A header row gives the converter field names for each object.

What happens to empty cells?

Empty cells are usually represented as empty strings or blank values depending on the converter behavior.

Can CSV keep numbers as numbers?

CSV stores text. Review output when numeric, boolean, or date types matter.