Convert CSV data into a JSON array of objects, using the first row as field names. Handles quoted fields containing commas or line breaks.
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This tool treats the first row as field names, then converts every following row into a JSON object using those names as keys. It correctly handles quoted fields containing the delimiter, line breaks, or escaped ('""') quotes, using its own hand-written CSV parser rather than a naive split-on-comma approach.
Converting spreadsheet or export data (CSV) into JSON is a common step when feeding data into an API, a JavaScript application, or a NoSQL database, all of which typically expect JSON rather than tabular CSV.
Converting the CSV 'name,age\nAlice,30\nBob,25' with a comma delimiter produces a JSON array of two objects, [{"name": "Alice", "age": "30"}, {"name": "Bob", "age": "25"}], using the first row as the object keys. Note that every value comes out as a string, including 'age', this tool doesn't try to guess and convert numeric types, since CSV itself has no type information to preserve.
Expecting numeric or boolean values to convert to actual JSON numbers/booleans automatically, every CSV value becomes a JSON string ('30' not 30), you'd need to convert types separately if your downstream use case requires them.
Selecting the wrong delimiter for the source file, a comma-delimited parse of semicolon-separated data will treat each entire row as one field, always match the delimiter dropdown to how the CSV was actually exported.
Forgetting that the CSV needs a header row, the first row is always treated as field names, not data, a CSV with only data rows and no header will misassign the first row as keys.
Select 'Semicolon' or 'Tab' from the delimiter dropdown, common in CSV exports from regions or tools that use commas as decimal separators.
Yes, a field like "New York, NY" wrapped in quotes is correctly kept as a single value rather than being split into two fields.
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