CSV-Tools
CSV to JSON
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Parse CSV to JSON arrays with Papa Parse.
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How to use this tool, examples, and related tips.
Paste your CSV data into the input field, or upload a .csv file.
The tool reads the first row as column headers and maps each subsequent row to a JSON object with those headers as keys.
Review the JSON output, then copy or download it for use in your application.
CSV (Comma-Separated Values) is a plain-text tabular format — rows of data with fields separated by commas or other delimiters. JSON is a structured, hierarchical format used widely in APIs and web applications. Converting CSV to JSON transforms each row into a JSON object, using the header row as property names, and wraps all objects in an array. This makes CSV data directly consumable by JavaScript, APIs, and most modern data tooling without writing a parser yourself.
Importing spreadsheet data into an API — Export from Excel or Google Sheets as CSV, then convert to JSON for use in a POST request or data migration script.
Seeding a database — Convert a CSV data dump to JSON for use with a database seeding script or ORM fixture.
Prototyping with static data — Turn a CSV dataset into a JSON array to use as mock data in a front-end prototype.
ETL pipelines — Use as a quick transformation step when building a data pipeline that requires JSON input.
Answers about this tool and how your data is handled.
Yes. By default, the first row is treated as column headers and becomes the keys in each JSON object.
Standard comma-separated CSV. If your file uses a different delimiter (tab, semicolon, pipe), check the tool's delimiter settings.
Empty fields are represented as empty strings ("") in the JSON output.
No. Conversion runs entirely in your browser. No data is uploaded.
Standard CSV quoting rules apply — values containing commas should be wrapped in double quotes in the source CSV. The tool handles this correctly.
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CSV-Tools
Parse CSV to JSON arrays with Papa Parse.