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CSV to JSON

Transform flat tabular data into structured JSON objects.

CSV Source

JSON Output

[ { "id": 1, "name": "John Doe", "email": "john@utilvox.io", "role": "Admin" }, { "id": 2, "name": "Jane Smith", "email": "jane@utilvox.io", "role": "Developer" }, { "id": 3, "name": "Bob Wilson", "email": "bob@utilvox.io", "role": "Security" } ]

schema

Parsing Rules

Headers in first row

Skip empty lines

Format Options

expand_more

layers

Conversion Preview

id	name	email	role
1	John Doe	john@utilvox.io	Admin
2	Jane Smith	jane@utilvox.io	Developer
3	Bob Wilson	bob@utilvox.io	Security

Technical FAQ

How secure is my data?

All conversions are performed locally in your browser using JavaScript. No CSV or JSON data is ever transmitted to our servers, ensuring your proprietary information remains confidential.

What is the maximum file size?

While limited by your device's memory, UtilVox can comfortably handle files up to 100MB. For larger datasets, we recommend our specialized CLI tool.

Does it support custom delimiters?

Yes. You can specify any single-character delimiter including semicolons, pipes, or custom symbols in the configuration panel.

From Spreadsheet Rows to API Objects

How the mapping works

The conversion is mechanical — header row becomes keys, each data row becomes one object — but the gotchas live in the details:

CSV reality	JSON consequence	Handle it by
Commas inside values	Columns shift if quoting is wrong	Ensure values with commas are double-quoted
Everything is text	Numbers and booleans arrive as strings	Cast types downstream, or post-process
Empty cells	Empty strings, not null	Decide your null convention explicitly
Duplicate header names	Keys overwrite each other	Rename headers before converting
Excel regional exports	Semicolons instead of commas	Check the delimiter first

Clean the sheet before converting

Five minutes in the spreadsheet saves an hour in code: delete decorative title rows above the real header, remove summary/total rows at the bottom, give every column a short machine-friendly name (snake_case beats “Customer Name (Updated)”), and check for trailing empty columns Excel loves to invent. The converter faithfully reproduces whatever mess goes in — garbage rows become garbage objects.

Round trips and neighbors

Validate and prettify the result in the JSON formatter before feeding it anywhere. The reverse direction — API output flattened for Excel — is JSON to CSV, and config-file conversions live in YAML to JSON. Everything converts in your browser — customer lists and financial exports never upload anywhere.