CSV to JSON Converter Online - Convert CSV to JSON Arrays

Continue Workflow

Related tools to try next

All tools

CSV Formatter

Format, validate, and normalize CSV data. Clean delimiters, quoted fields, and spreadsheet exports.

JSON to CSV Converter

Convert JSON arrays to CSV format. Flatten nested objects, handle arrays, and download as a CSV file.

CSV to Markdown Table

Convert CSV or TSV data into clean Markdown tables for README files, docs, and changelogs.

Example

Convert a small CSV table

Header names become object keys, and each following row becomes one JSON object.

Input


                        name,role
Alice,Developer
Bob,Designer

Output


                        [
  {
    "name": "Alice",
    "role": "Developer"
  },
  {
    "name": "Bob",
    "role": "Designer"
  }
]

Preserve commas inside quoted fields

Quoted CSV fields allow commas inside a value without creating extra columns.

Input


                        name,notes
Alice,"Uses JSON, CSV, and YAML"
Bob,"Reviews imports"

Output


                        [
  {
    "name": "Alice",
    "notes": "Uses JSON, CSV, and YAML"
  },
  {
    "name": "Bob",
    "notes": "Reviews imports"
  }
]

Convert tab-separated data

Choose the Tab delimiter when copying data from spreadsheets or TSV exports.

Input


                        sku	price	active
starter	19	true
pro	49	true

Output


                        [
  {
    "sku": "starter",
    "price": "19",
    "active": "true"
  },
  {
    "sku": "pro",
    "price": "49",
    "active": "true"
  }
]

Practical Notes

Use clear header names before converting so the JSON keys are easy to understand.
If your data contains commas inside values, make sure those values are wrapped in quotes.
For tab-separated exports, choose the Tab delimiter before converting.
Check whether numeric-looking values should stay strings before using the JSON in code.
Normalize duplicate or blank headers before converting because JSON object keys should be predictable.
If rows have different column counts, inspect the source CSV before using the output in an import workflow.

How to Use

1. Paste CSV data into the input area.
2. Choose the delimiter and parsing options.
3. Click Convert to JSON.
4. Copy or download the generated JSON array.

Features

Converts CSV rows into a JSON array of objects
Uses the first row as object keys by default
Supports comma, semicolon, tab, and pipe delimiters
Handles quoted CSV values with commas and line breaks
Optionally trims whitespace and skips empty rows
Runs locally in your browser with no upload

Use Cases

Turning spreadsheet exports into JSON test data
Preparing CSV reports for API mockups or front-end prototypes
Converting simple datasets before importing into developer tools
Checking how CSV headers map to JSON object keys
Cleaning CRM, analytics, or product catalog exports before using them in scripts
Turning tabular QA data into JSON fixtures for front-end tests

Frequently Asked Questions

Does this CSV to JSON converter upload my file?

No. The conversion runs entirely in your browser. Your CSV data is not uploaded to any server.

Can I convert CSV to JSON online without changing data types?

Yes. This converter keeps cell values as strings by default so spreadsheet exports do not change unexpectedly. You can convert numbers and booleans later in your app if needed.

Can it handle quoted CSV fields?

Yes. Quoted fields with commas, quotes, and line breaks are parsed using standard CSV quoting rules.

What JSON format does it create?

By default it creates an array of objects where the first CSV row becomes the property names. You can also output arrays of values.

Can I download the JSON result?

Yes. After conversion, use the Download button to save the result as a .json file.

Are numbers and booleans converted to JSON types?

This tool keeps cell values as strings so spreadsheet data is not changed unexpectedly. Convert types later in your application if needed.

What should I do with duplicate CSV headers?

Rename duplicate headers before converting. JSON objects work best when each property name is unique and stable.

Why are some JSON fields blank?

Blank fields usually mean a row has fewer cells than the header row, or the source CSV has an unquoted comma that split one value into multiple columns.