Forge Json

CSV to JSON (Free Online Tool)

Parse CSV text into a JSON array of row objects for further cleanup or reshaping

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Try examples:

→ Parse this CSV text into JSON rows.

name,age,city
Alice,30,New York
Bob,25,London
Output✓
1[
2  {
3    "name": "Alice",
4    "age": 30,
5    "city": "New York"
6  },
7  {
8    "name": "Bob",
9    "age": 25,
10    "city": "London"
11  }
12]

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No setup needed. Works with curl, Node, Python.

Uses example data. For edited input, copy from the playground.

Read integration guide

Works with:

  • API responses
  • Nested JSON
  • Arrays & objects

Example: input → output

Input / Output
Input
name,age,city
Alice,30,New York
Bob,25,London
Output
[
  {
    "name": "Alice",
    "age": 30,
    "city": "New York"
  },
  {
    "name": "Bob",
    "age": 25,
    "city": "London"
  }
]

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Advanced usage (optional)

CSV to JSON

v1.0.0
Convert
stringreversible

Description

CSV to JSON

Parse CSV text into a JSON array of objects. Supports multiple delimiters, automatic type inference, header row detection, and whitespace trimming.

How It Works

The utility reads CSV text (string input) and converts each row into a JSON object. Column names come from the header row (if enabled) or are auto-generated as col1, col2, etc.

Type Inference

When enabled, the parser automatically converts values:

  • "30" → 30 (number)
  • "true" / "false" → true / false (boolean)
  • Empty values → "" (empty string)

Disable type inference to keep all values as strings.

Configuration

FieldTypeDefaultDescription
Delimiterenum,Field separator: ,, ;, \t (tab), or `\` (pipe)
First Row is HeadersbooleantrueWhether the first row contains column names
Infer TypesbooleantrueAuto-convert numbers and booleans (disable for all-string output)
Trim WhitespacebooleantrueRemove leading/trailing whitespace from values
Skip Empty LinesbooleantrueIgnore blank rows in the CSV input

Use Cases

Data Import

  • Spreadsheet data: Convert exported CSV from Excel or Google Sheets into JSON
  • Database exports: Parse database dump CSV files for processing
  • Log files: Parse tab-delimited log files into structured objects

Format Conversion

  • API preparation: Convert CSV data into JSON format for API requests
  • Configuration files: Parse semicolon-delimited config files
  • Data migration: Convert legacy CSV data to JSON for modern systems

Data Cleaning

  • Type normalization: Use type inference to convert string numbers to actual numbers
  • Whitespace cleanup: Automatically trim messy CSV data
  • Empty row removal: Skip blank lines in poorly formatted CSV files

Configuration

NameTypeDefaultDescription
Delimiterenum,Character used to separate fields in the CSV , ; \t |
First Row is HeadersbooleantrueWhether the first row contains column names
Infer TypesbooleantrueAuto-convert numbers and booleans (disable for all-string output)
Trim WhitespacebooleantrueRemove leading/trailing whitespace from values
Skip Empty LinesbooleantrueIgnore blank rows in the CSV input

Examples

AI Prompt
Parse this CSV text into JSON rows.
name,age,city
Alice,30,New York
Bob,25,London
Output✓
1[
2  {
3    "name": "Alice",
4    "age": 30,
5    "city": "New York"
6  },
7  {
8    "name": "Bob",
9    "age": 25,
10    "city": "London"
11  }
12]
Config
Delimiter
,
First Row is Headers
ON
Infer Types
ON
Trim Whitespace
ON
Skip Empty Lines
ON

API Usage

POST /api/v1/utilities/convert.csv-to-json
Example:
curl -X POST https://your-domain.com/api/v1/utilities/convert.csv-to-json \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"inputs":{"primary":"name,age,city\nAlice,30,New York\nBob,25,London"},"config":{"delimiter":",","hasHeaders":true,"inferTypes":true,"trimWhitespace":true,"skipEmptyLines":true}}'
Response
1[
2  {
3    "name": "Alice",
4    "age": 30,
5    "city": "New York"
6  },
7  {
8    "name": "Bob",
9    "age": 25,
10    "city": "London"
11  }
12]