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CSV to JSON Converter

JSON   CSV   CONVERSION  
CSV to JSON Converter is used to convert CSV data or file into JSON format. You can choose whether the property names are auto-generated or taken from the header row in the CSV. Property names can also be transformed using various naming strategies such as: Camel Case, Lower Case, Upper Case & Snake Case The JSON output can be indented for easier viewing. Source delimiter is automatically detected but can also be manually overriden. The JSON output varies itself according to various strategies. Check out the setting descriptions below.


Input: Paste CSV content below



Settings




Background Information

CSV is an old & very popular format for storing tabular data. It has been used in the desktop as well as mainframe. It is a simple & compact format that works really well for tabular data and so is still in use today.

JSON pronounced as "Jason" is the de facto standard for data interchange on the web these days. It is a simple format that is easier to comprehend than XML. It also has less size than XML because of no closing tags. Interacting with JSON from JavaScript is extremely seamless.

Settings Explained

First Row Is Header
If selected, first row is assumed to be the header and property names are generated using it otherwise property names are generated automatically using a number pattern: column 1, column 2, column 3, etc. In the latter case, first row is interpreted as data.
First Row is Header On
[
  {
    "name": "Robin Hood",
    "department": "Sales",
    "salary": 200
  }
]
First Row is Header Off
[
  {
    "column 1": "Name",
    "column 2": "Department",
    "column 3": "Salary"
  },
  {
    "column 1": "Robin Hood",
    "column 2": "Sales",
    "column 3": 200
  }
]
Delimiter
The delimiter in the input CSV is specified here. In most cases the default setting Auto Detect works fine. But, in really small CSV data with delimiters also occurring as literals, the auto detection logic might not choose the correct delimiter. In such a scenario, the delimiter can be manually specified. Following are the choices for delimiters:-
  • Comma
  • Tab
  • Space
  • Pipe
  • Semi-Colon
Indent
This setting governs whether or not the output is indented. The indented output is easier for humans to comprehend. On the other hand, a non-indented output is compact & smaller in size (best for transmission). So, JSON is often minified which compacts & compresses the output by removing non-essential whitespace.
Indentation On
{
  "name": "John Doe",
  "age": 69
}
Indentation Off
{"name":"John Doe","age":69}
Header Transform Type
This decides how the property names are transformed in the output JSON. The available strategies are:-
  • Camel Case
  • Lower Case
  • Upper Case
  • Snake Case
  • None
Camel Case
[
  {
    "name": "Robin Hood",
    "departmentName": "Sales",
    "salary": 200
  }
]
Lower Case
[
  {
    "name": "Robin Hood",
    "departmentname": "Sales",
    "salary": 200
  }
]
Upper Case
[
  {
    "NAME": "Robin Hood",
    "DEPARTMENTNAME": "Sales",
    "SALARY": 200
  }
]
Snake Case
[
  {
    "name": "Robin Hood",
    "department_name": "Sales",
    "salary": 200
  }
]
None
[
  {
    "Name": "Robin Hood",
    "DepartmentName": "Sales",
    "Salary": 200
  }
]
Output Type
This decides how the JSON output is transformed and supports the following modes:-The examples below assume the following input
Name,Department,Manager,Salary
Arsene Wenger,Bar,Friar Tuck,50
Friar Tuck,Foo,Robin Hood,100
Little John,Foo,Robin Hood,100
Dimi Berbatov,Foo,Little John,50
Properties
This is the default output type. At the root of the output is a JSON array inside which there are multiple objects corresponding to a row in the input CSV.
[
  {
    "Name": "Arsene Wenger",
    "Department": "Bar",
    "Manager": "Friar Tuck",
    "Salary": 50
  },
  {
    "Name": "Friar Tuck",
    "Department": "Foo",
    "Manager": "Robin Hood",
    "Salary": 100
  },
  {
    "Name": "Little John",
    "Department": "Foo",
    "Manager": "Robin Hood",
    "Salary": 100
  },
  {
    "Name": "Dimi Berbatov",
    "Department": "Foo",
    "Manager": "Little John",
    "Salary": 50
  }
]
Column Arrays
Here, the CSV data is transformed in a column oriented fashion. At the root of the output is a JSON object which has a property for each column in the input CSV. The value of each of these properties is a JSON array in which each item is taken from one of the data rows in the CSV.
{
  "Name": [
    "Arsene Wenger",
    "Friar Tuck",
    "Little John",
    "Dimi Berbatov"
  ],
  "Department": [
    "Bar",
    "Foo",
    "Foo",
    "Foo"
  ],
  "Manager": [
    "Friar Tuck",
    "Robin Hood",
    "Robin Hood",
    "Little John"
  ],
  "Salary": [
    50,
    100,
    100,
    50
  ]
}
Row Arrays
Here, the output is an Array of Array with no property names whatsoever. The structure is similar to the Properties output described above. But, there are no column names associated with the output. At the root of the output is a JSON array. Inside the array there are multiple arrays each of which correspond to a row in the input CSV. This inner array in turn is made of the values in each row. The order of the items is the same as in the input CSV.
[
  [
    "Arsene Wenger",
    "Bar",
    "Friar Tuck",
    50
  ],
  [
    "Friar Tuck",
    "Foo",
    "Robin Hood",
    100
  ],
  [
    "Little John",
    "Foo",
    "Robin Hood",
    100
  ],
  [
    "Dimi Berbatov",
    "Foo",
    "Little John",
    50
  ]
]
Dictionary Object
Here, there are no arrays. The output at the root is a JSON object. Thereafter, the first column of each row becomes a property. The value of this property is another object with all the remaining columns in that row. You can think of the output as a Dictionary (in C#) or Map (in Java). The first column of each row must have unique value for this output type to give valid results.
{
  "Arsene Wenger": {
    "Department": "Bar",
    "Manager": "Friar Tuck",
    "Salary": 50
  },
  "Friar Tuck": {
    "Department": "Foo",
    "Manager": "Robin Hood",
    "Salary": 100
  },
  "Little John": {
    "Department": "Foo",
    "Manager": "Robin Hood",
    "Salary": 100
  },
  "Dimi Berbatov": {
    "Department": "Foo",
    "Manager": "Little John",
    "Salary": 50
  }
}
Dictionary Array
This is similar to Dictionary Object described above where the output at the root is a JSON object. Thereafter, the first column of each row becomes a property. The value of this property is an array as opposed to another object. The remaining values in each row become elements inside this array object.
{
  "Arsene Wenger": [
    "Bar",
    "Friar Tuck",
    50
  ],
  "Friar Tuck": [
    "Foo",
    "Robin Hood",
    100
  ],
  "Little John": [
    "Foo",
    "Robin Hood",
    100
  ],
  "Dimi Berbatov": [
    "Foo",
    "Little John",
    50
  ]
}
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