Runs entirely in your browser

CSV to JSON Converter (Auto-generate Keys from Header Row)

Q: "Should I treat the first row as a header?"

"Yes/No can be toggled. When OFF, col1, col2... are generated automatically."

Q: "Numbers are staying as strings"

"Use the type inference toggle. OFF keeps everything as strings; ON converts numbers and true/false."

Q: "Do empty cells become null?"

"Choose \"\" (empty), null, or omit the key entirely."

Q: "Can I convert TSV as well?"

"Yes. Set the delimiter to Tab or try Auto detection."

Q: "Does it handle commas/newlines inside quotes?"

"Yes. It supports quoted fields. If parsing fails, specify the quote or delimiter manually."

Q: "What if header names are duplicated?"

"Duplicates are renamed with _2, _3 suffixes and shown in warnings."

Convert CSV to a JSON array. Paste or upload a file and process locally for privacy.

Paste CSV to convert instantly to JSON. Be careful when handling CSVs with personal data.

No server upload RFC4180-compatible parsing Copy/Download

Large CSVs (5MB+) may take longer to process.

CSV → JSON Converter

CSV Input

Input method

Your input stays in the browser and is not sent to a server.

JSON Output

Pretty

Indent

Танзимот

Basic

Duplicate headers get _2, _3 suffixes to stay unique.

Treat first row as header Delimiter

Type inference Empty cell handling

Имконоти пешрафта

Trim leading/trailing spaces Skip empty rows Quote character Кодгузорӣ Convert leading-zero numbers

Shift-JIS only applies to file uploads.

How to use (3 steps)

Paste CSV or choose a file

Adjust options (header/type/empty cells) if needed

Convert → Copy or Download

Examples

Input CSV

Вуруд

name,age,active
Alice,30,true
Bob,25,false

Output JSON (type inference ON)

[
  { "name": "Alice", "age": 30, "active": true },
  { "name": "Bob", "age": 25, "active": false }
]

Empty cells (empty → null)

Вуруд

name,age
Alice,
Bob,25

Output JSON

[
  { "name": "Alice", "age": null },
  { "name": "Bob", "age": 25 }
]

Conversion tips

CSV to JSON conversion changes based on header, delimiter, and type inference settings.
For better csv to json accuracy, manually set the delimiter if auto-detect fails.
When converting CSV to JSON, keep leading zeros (0012) as strings for safety.
CSVs over 5MB may take longer to process.

Conversion rules

Header on: first row becomes keys. Empty headers become col1, and duplicates become name_2, name_3, etc.
Header off: keys are col1, col2... and column count is fixed to the maximum column length.
Type inference ON: true/false, null (string), and numbers are detected. Leading zeros remain strings by default.
Empty cells: choose "" (empty), null, or omit the key entirely.
Delimiter: auto-detect chooses the most consistent of , / / ; / |.
Uneven columns: missing cells are filled; extra cells are treated as new columns with row warnings.

Саволу ҷавоб

Should I treat the first row as a header?

Yes/No can be toggled. When OFF, col1, col2... are generated automatically.

Numbers are staying as strings

Use the type inference toggle. OFF keeps everything as strings; ON converts numbers and true/false.

Do empty cells become null?

Choose "" (empty), null, or omit the key entirely.

Can I convert TSV as well?

Yes. Set the delimiter to Tab or try Auto detection.

Does it handle commas/newlines inside quotes?

Yes. It supports quoted fields. If parsing fails, specify the quote or delimiter manually.

What if header names are duplicated?

Duplicates are renamed with _2, _3 suffixes and shown in warnings.