CSV to JSON & JSON to CSV Converter
Convert CSV to JSON and JSON to CSV instantly in your browser with automatic delimiter detection and formatting options.
How to use the CSV to JSON Converter
- Paste CSV data into the input box or click “Load sample”.
- Choose your output structure (Array of objects, 2D Array, or Keyed by column) and format (Pretty 2-space or Minified).
- Toggle options like “Parse numbers and booleans” or customize the delimiter if needed.
- Copy the generated JSON with one click or download it as a .json file. Switch mode to convert JSON back to CSV.
What is a CSV to JSON converter?
Comma-Separated Values (CSV) and JavaScript Object Notation (JSON) are the two most prevalent data formats used across modern software engineering. Spreadsheets (such as Microsoft Excel and Google Sheets), relational database exports, CRM lists, and bulk datasets are almost exclusively exported as CSV. Meanwhile, web APIs, frontend frameworks (like React, Vue, and Angular), and NoSQL databases (like MongoDB) require JSON.
This CSV to JSON & JSON to CSV Converter provides an instant, bidirectional bridge between tabular data and structured JSON documents. It runs 100% locally in your browser, meaning customer contact lists, financial sheets, or sensitive product catalogs are never transmitted over the network or logged on third-party servers.
Key features and conversion options
- Automatic delimiter detection: Intelligently distinguishes between commas (
,), tabs (\tfor TSV), semicolons (;used in European localized CSVs), and pipes (|). - RFC 4180 compliance: Correctly parses fields enclosed in quotation marks that contain embedded commas, line breaks, or escaped quotes (
""). - Multiple JSON structures:
- Array of objects: standard format for REST APIs (
[{"id": 1, "name": "Alice"}, ...]). - 2D Array: compact matrix format preserving rows and columns (
[["id", "name"], [1, "Alice"]]). - Keyed object: uses the unique values of the first column as dictionary keys.
- Array of objects: standard format for REST APIs (
- Smart type inference: Automatically converts numeric strings into integers and floats, converts
trueandfalseinto native booleans, and maps empty values ornullappropriately. - Bidirectional JSON to CSV: Click JSON to CSV to flatten any JSON array of objects or 2D array back into clean, properly escaped CSV text.
Common CSV formatting pitfalls
- European regional settings: Excel in countries that use a comma as a decimal separator (e.g.
12,50 €) exports CSV files delimited by semicolons (;). The auto-delimiter engine detects this automatically. - Quotes and newlines within fields: Under RFC 4180, fields containing delimiters or line breaks must be enclosed in double quotes, and internal quotes must be doubled (e.g.
"He said ""Hello"""). - Missing headers: If your CSV data does not include column names in the first row, uncheck First row is header to generate generic property names (e.g.
col1,col2) or use 2D array mode.
Frequently asked questions
Is my CSV or JSON data sent to a server?
Which delimiters are supported?
,), tab (\t / TSV), semicolon (;), and pipe (|). You can also explicitly choose any delimiter.How does it handle quoted fields containing commas or line breaks?
""), and newlines are parsed correctly.Can it convert numbers and booleans automatically?
123, 45.67, true, false, and null are converted to native JSON types instead of strings.Can I convert JSON back to CSV?
Last updated . Launched with auto-delimiter detection, type inference, array of objects / 2D array output, and bidirectional JSON to CSV conversion.
Processing customer lists or contact CSVs?
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