CSV to JSON Converter
Convert CSV data into JSON arrays or objects, with custom delimiters and header handling.
About CSV to JSON Converter
CSV is everywhere — spreadsheet exports, banking statements, analytics downloads — but most tools consume JSON, so the data has to be transformed by hand or by script. This converter parses CSV and produces clean JSON you can use directly in code, APIs, or a database import.
The parser respects quoted fields, so commas, quotes, and newlines inside a field are handled correctly, and it lets you choose the delimiter for tab- or semicolon-separated data. With a header row each line becomes an object keyed by its column name; without one, you get plain arrays or objects built from names you supply.
Data analysts reshape exports for analysis tools, developers convert user-uploaded CSVs into API-ready JSON, and QA testers turn test case tables into fixtures. Anyone who receives spreadsheets but works in JSON will use this constantly.
How to Use
- Paste your CSV data.
- Set the delimiter and whether the first row is a header.
- Copy the generated JSON.
Example
name,age Alice,30 Bob,25 [{"name":"Alice","age":30},{"name":"Bob","age":25}]
With a header row, each data row becomes an object keyed by its column name.
FAQ
Does it handle quoted fields?
Yes, fields wrapped in quotes with embedded commas or newlines are parsed correctly.
Can I use a different delimiter?
Yes, choose comma, tab, semicolon, or a custom character to match your data source.
What if my CSV has no header row?
A no-header mode outputs plain arrays, or you can supply column names to build objects.
Are numbers and booleans typed automatically?
Yes. Values that look like numbers or booleans are typed accordingly, so you don't get strings like 'true' or '42' unless a field is quoted explicitly.
What about inconsistent row lengths?
Rows with fewer or more cells than the header are reported, and the output notes any missing values so you can verify the source file before relying on the JSON.