Utility Tally

CSV to JSON converter

Convert CSV data to JSON format with custom delimiters

CSV input
Paste your CSV data here
JSON output
Converted JSON data
How to use this tool
  1. Paste your CSV data into the input field
  2. Select the delimiter used in your CSV (comma, semicolon, tab, or pipe)
  3. Check "First row is header" if your CSV has column names in the first row
  4. Enable "Pretty print JSON" for readable output, or disable for compact JSON
  5. Click "Convert to JSON" to perform the conversion
  6. 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

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
  1. Paste CSV data with a clear header row when possible.
  2. Check delimiter and quote behavior if the source has commas inside values.
  3. Convert the rows and review the JSON output.
  4. Look for blank columns, inconsistent headers, or values that should be numbers or booleans.
  5. 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.

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CSV to JSON Conversion GuideJSON Formatting, Validation and Minification ExplainedHow to Choose Safe Online Utility Tools
CSV to JSON Converter FAQ