CSV to JSON Converter

The tool reads your CSV text, splits it into rows and columns using the detected (or selected) delimiter, and converts each row into a JSON object using the header row as keys. The result is a JSON array of objects — ready to use in APIs, databases, or JavaScript applications.

Yes. The parser correctly handles RFC 4180 CSV formatting: fields wrapped in double quotes can contain commas, newlines, and escaped quotes (doubled double-quotes). For example, "hello, world" is treated as a single field.

The tool supports comma (,), tab, semicolon (;), and pipe (|) delimiters. Auto-detect mode examines the first line of your CSV and picks the most likely delimiter. You can also select a specific delimiter manually.

Array of Objects uses the first row as property names, producing [{name: "Alice", age: "30"}, ...]. Array of Arrays outputs raw rows as nested arrays: [["name","age"],["Alice","30"], ...]. Nested JSON groups rows by a column you choose, e.g. grouping by "city" produces {"NYC": [{...}], "LA": [{...}]}. Use Objects for APIs, Arrays for positional data, and Nested for grouped lookups.

No. All parsing and conversion runs entirely in your browser using JavaScript. Your data never leaves your device — no uploads, no server processing, no analytics on your content.

Yes. Use the <a href="/ai/dev/json-to-csv">JSON to CSV Converter</a> tool which does the reverse — takes a JSON array of objects and produces a properly formatted CSV file with header row. Both tools are free and run entirely in your browser.

Yes. The interface is responsive and works on phones and tablets. You can paste CSV data, upload a .csv file, and copy or download the JSON output on any device.

CLI tools like csvtojson (Node.js) or pandas (Python) are better for scripting and batch processing. This tool is faster for one-off conversions — no installation, no code, just paste and convert. For recurring ETL pipelines, use a scripted solution.

Yes. Upload your .tsv file or paste tab-separated data. The auto-detect mode recognizes tab delimiters, or you can explicitly select "Tab" from the delimiter dropdown.

The tool uses the header row (or first row) to determine column count. If a data row has fewer columns, missing values are filled with empty strings. Extra columns beyond the header are ignored. This matches standard CSV parsing behavior.

There is no hard limit. The tool handles files up to several megabytes without issue since everything runs in your browser. For files over 10 MB, performance depends on your device — consider using command-line tools like jq or Miller for very large datasets.

After converting, use the <a href="/ai/dev/json">JSON Formatter</a> to inspect and validate your JSON output. If you need the reverse direction, the <a href="/ai/dev/json-to-csv">JSON to CSV Converter</a> converts JSON arrays back to CSV files.