Convert CSV and tab-separated tabular data into JSON directly in your browser. Choose how delimiters and headers are interpreted, inspect array structures, and copy or download the resulting JSON without sending data to ToolMight's servers.
The converter translates tabular rows into JSON structures. When column names are provided in the first row, each CSV line becomes a JSON object. Without headers, rows are represented as a two-dimensional array of string arrays.
Input CSV:
id,name,role 101,Avery,Admin 102,Riley,Editor
Toggling the Header Row option changes how the converter structures the output:
[
{
"id": "101",
"name": "Avery",
"role": "Admin"
}
][ ["id", "name", "role"], ["101", "Avery", "Admin"] ]
If a header cell is empty, the converter assigns default key names like field_1 or field_2. After converting, you can inspect or beautify the output using our JSON Formatter.
Simple line splitting like row.split(",") fails when field values contain commas or line breaks inside quotes:
name,address Jane Doe,"123 Main St, New York"
The converter tracks quote state so that commas inside quotes remain part of the string value. Escaped double quotes ("") inside quoted fields are parsed as single double quotes (").
In addition to standard commas, the converter supports Tab (TSV), Semicolon (;), and Pipe (|) delimiters.
CSV text files do not contain explicit JSON type signatures. The converter preserves all parsed field values as string primitives in the generated JSON:
| CSV Value | JSON Output | Notes |
|---|---|---|
| 101 | "101" | Preserved as a string primitive. |
| true | "true" | Preserved as a string primitive. |
| 00123 | "00123" | Leading zeros in postal codes or IDs are safely preserved. |
| (empty) | "" | Empty fields yield empty strings. |
Paste CSV text, TSV data, or copied spreadsheet rows into the CSV Input area.
Select Comma (,), Tab (\t), Pipe (|), or Semicolon (;) from the delimiter dropdown.
Toggle 'Header Row' depending on whether the first line contains column names.
Click 'Copy JSON' or 'Download .json' to save the converted data.
Copy & paste production-ready code snippets for CSV to JSON Converter in your language of choice
import csv
import json
def csv_to_json(csv_path):
with open(csv_path, mode='r', encoding='utf-8') as f:
reader = csv.DictReader(f)
return json.dumps(list(reader), indent=4)
print(csv_to_json('data.csv'))"New York, NY") preserve internal commas without splitting into separate columns. Escaped double quotes ("") are parsed as a single double quote character."00123") are not modified or truncated.U+FEFF) at the start of the file. Removing BOM characters before processing prevents them from appearing in header key names.Convert structured JSON datasets to CSV spreadsheets.
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