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CSV to JSON / JSON to CSV

Convert CSV, TSV, and JSON locally with header controls, delimiter options, type inference, table preview, copy, and download.

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CSV and Tabular Data Course

Learn practical CSV and tabular data workflows: headers, delimiters, quoting, JSON conversion, flattening, and debugging.

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About this tool

DevCove CSV to JSON / JSON to CSV Converter helps developers move structured data between spreadsheets, API payloads, mock fixtures, QA handoffs, and documentation. It handles quoted CSV fields, delimiter selection, header rows, type inference, nested JSON flattening, and table previews locally in your browser.

How to use this tool

Use this converter when moving data between spreadsheets, API mocks, fixtures, and developer docs:

  1. Choose CSV → JSON when you have tabular data from a spreadsheet, log export, or product sample.
  2. Choose JSON → CSV when you need to hand API data to QA, product, support, or a spreadsheet workflow.
  3. Select the delimiter: auto-detect, comma, tab, semicolon, or pipe.
  4. Choose whether the first CSV row should become JSON object keys, and whether numbers and booleans should be inferred.
  5. For nested JSON, keep flattening enabled to export dot-notation columns such as meta.region.
  6. Review the table preview, then copy the output or download a .json or .csv file.

Features

Built for everyday API, fixture, spreadsheet, and data-cleanup workflows:

  • Two-way CSV ↔ JSON conversion in one local browser tool.
  • CSV, TSV, semicolon, and pipe-delimited data support.
  • Header row controls and automatic fallback names for empty headers.
  • Optional number and boolean inference for CSV → JSON.
  • Pretty or minified JSON output for fixtures and API mocks.
  • JSON object arrays, single objects, and equal-length arrays supported for JSON → CSV.
  • Nested JSON flattening with dot notation for spreadsheet-friendly columns.
  • Table preview, copy, download, and clear actions built into the workspace.
  • Client-side processing: your CSV and JSON are converted in the browser, not uploaded to DevCove servers.

FAQ

Does this CSV converter upload my data?

No. The conversion runs in your browser after the page loads. CSV and JSON input are not uploaded to DevCove servers.

Can it handle commas or line breaks inside CSV fields?

Yes. The parser supports quoted fields, including commas and line breaks inside quotes, which is essential for real spreadsheet exports.

What JSON shapes can be converted to CSV?

Use a JSON object, an array of objects, or an array of equal-length arrays. Nested objects can be flattened into dot-notation columns when the flatten option is enabled.

What happens if CSV rows have different numbers of fields?

The tool reports a row-length mismatch instead of silently dropping data. This helps catch broken exports, pasted fragments, or inconsistent rows before you create fixtures.

Should I enable type inference?

Enable it when numbers and booleans should become JSON values instead of strings. Leave it off when IDs, ZIP codes, leading zeros, or exact text values must stay as strings.

How is this different from JSON Formatter?

JSON Formatter helps inspect, validate, query, and format existing JSON. This converter focuses on moving data between flat tables and JSON payloads.