CSV to JSON Converter
Convert CSV rows into JSON.
How to use CSV to JSON Converter
Turn comma-separated values with a header row into an array of JSON objects.
Open CSV to JSON Converter on toolpermarket, then enter the values you want to work with.
In the CSV field, paste CSV with a header row, then one row per record. Wrap fields containing commas in double quotes; double a quote inside to escape it.
Press Convert to compute the result. The output appears immediately below the form. Tweak any field and run it again to check a different scenario.
Read the result and use it as needed. If the number looks off, re-check your inputs and run it again — the math is deterministic, so the same entries always return the same answer.
Worked example. With header "name,age,city" and rows "Jane,30,Tokyo" / "Bob,25,Lima" you get an array of two objects keyed by the header names.
Tips for accurate results.
The first row is always treated as column names; each later row becomes one object.
Fields wrapped in quotes may contain commas without breaking the columns.
If a row is short, missing fields are filled with an empty string so the object still has every key.
When to use CSV to JSON Converter. Importing spreadsheet exports into a JSON API. Turning a downloaded report into structured data. Previewing how rows map to objects before scripting a load.
When you actually reach for this
- You exported a spreadsheet as CSV and need to feed the rows into an API or a script that expects JSON.
- You want to turn tabular report data into nested objects keyed by the header row.
Where this tool stops being accurate
- CSV is a flat row model; one-to-many relations become repeated columns and true nesting is lost unless you post-process.
- Quoted fields with embedded commas or newlines must be correctly quoted, or a naive split will mis-align every following column.
Frequently asked questions
How are the keys named?
The first line of your CSV becomes the set of keys; every following row is turned into an object using those header names, so column order is preserved.
Does it handle quoted fields with commas?
Yes. The parser respects double-quoted fields, so a value like "New York, NY" stays one field instead of splitting at the comma.
What if rows have different lengths?
Shorter rows get empty strings for the missing trailing columns, which keeps every object consistent with the header.
My JSON has empty or wrong keys — why?
Usually a trailing comma in the header row or a BOM at the start of the file. Strip the BOM and trim header whitespace before converting.
How do I keep numbers as numbers instead of strings?
CSV stores everything as text, so you must cast after conversion; this tool can optionally coerce obvious numbers, but verify currency and leading-zero IDs stay strings.