JSON to CSV
Convert a JSON array of objects, or a single object, into CSV. Missing keys become empty cells; values are escaped safely.
CSV to JSON
Runs on your device Processed locally in your browser. Nothing is uploaded.
Convert CSV to a JSON array of objects. Handles quoted commas and escaped quotes. Values stay as strings.
How to use
- Paste your CSV text into the input box, or select Try sample.
- The first row is read as the column headers.
- The result updates as you type: a JSON array of objects, one object per data row, with each header mapped to its value on that row.
- Turn off Pretty print for compact, single-line JSON. Copy or download the
.jsonresult.
What CSV to JSON does: it converts CSV to JSON entirely in your browser — a free CSV to JSON converter for turning a CSV to JSON array of objects, using the first row as keys. It is built for the common case: paste CSV, get valid JSON out.
Method
Header row. The first line of the CSV becomes the object keys for every row after it. A CSV
with headers name,age and a data row Raj,50 becomes { "name": "Raj", "age": "50" }. Header
names are matched exactly as written, including case and spacing.
Quoted fields and commas inside fields. A field wrapped in double quotes may contain commas or
line breaks without being split into extra columns — for example "Lives in NY, USA" stays one
field. A double quote inside a quoted field is written as two double quotes (""), the standard
CSV escape, for example "He said ""yes""" becomes the text He said "yes".
Why values stay as strings. Every value in the output JSON is a string, even when it
looks like a number, such as "age": "50" rather than "age": 50. Guessing at numbers, booleans
or dates would silently change data that might be an ID, a postal code, or a phone number with a
leading zero. The converter does not guess types.
Browser-based processing. No upload is required. The CSV you paste is parsed on your own device, in a background worker, and never sent to a server.
What this tool does not do. This is a CSV to JSON converter only — for the reverse direction, use
JSON to CSV. It does not read Excel or .xlsx files, only plain CSV text. It
does not import data into a database, infer a schema, or use AI to clean up messy data. It does not
accept a delimiter other than a comma.
Related developer and data tools. Once you have JSON, format or validate it with JSON Formatter & Validator, or convert it back with JSON to CSV. For other everyday encoding tasks, see Base64 Encode & Decode and URL Encode & Decode.
FAQ
Does CSV to JSON use the first row as headers?
Yes. The tool always treats the first row as the column headers, and every row after it becomes one JSON object using those headers as keys.
Do the values stay as text, or does it detect numbers?
Values stay as strings, always. age,50 becomes "age": "50", not "age": 50. This avoids
silently changing IDs, codes or numbers with leading zeros.
Are commas inside quoted fields supported?
Yes. Wrap a field in double quotes to include a comma or a line break inside it, for example
"Lives in NY, USA". A double quote inside such a field is written as two double quotes ("").
Can I convert an Excel or .xlsx file?
Not with this tool. It reads plain CSV text only. Export your spreadsheet to CSV first, then paste that text here.
Do I need to sign up or install anything?
No. CSV to JSON online, right in your browser, with no account and no installation.
Does this tool use AI?
No. Conversion is a deterministic, rule-based CSV parser — the same input always produces the same output.
Can I convert JSON back to CSV here?
Not on this page, but JSON to CSV does exactly that — the reverse of this tool.
Is my CSV data uploaded anywhere?
No. Parsing happens entirely in your browser. Nothing you paste is sent to a server.
What happens if two column headers are the same?
The conversion stops with a clear error naming the duplicate header, rather than silently overwriting one column's data with another's.
What happens if a row has too many or too few columns?
The conversion stops with a clear error naming the line number of the row, rather than guessing which columns are missing or extra.
References
- RFC 4180 — Common Format and MIME Type for Comma-Separated Values (CSV) Files (rfc-editor.org)