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CSV to JSON Converter

Paste CSV data and get clean, structured JSON output instantly

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Turn CSV Data into Clean JSON with One Click

CSV is the universal export format for spreadsheets, databases, and data tools, but APIs, configuration files, and modern applications speak JSON. This converter bridges the two: paste comma-separated (or semicolon, tab, or pipe-separated) data and get a well-formed JSON array of objects or arrays, ready to feed into an API request, a script, or a NoSQL import. Parsing respects quoted fields and escaped characters per the RFC 4180 standard.

Headers and Object Keys

When the first row is treated as headers, every subsequent row becomes a JSON object whose keys match the header values and whose values are the corresponding cells. This is the format most REST APIs expect for bulk imports. Without headers, the output is a simple two-dimensional array — useful for positional data, matrices, or when header names are not meaningful.

Automatic Type Detection

CSV treats everything as a string, but JSON distinguishes numbers, booleans, and null. With type detection enabled, values that look like integers or floats are output as JSON numbers, and the words true, false, and null become their JSON primitives. This avoids the need to post-process types after conversion. If your downstream system expects all values as strings — some schema validators do — disable this option.

Handling Quoted Fields and Special Characters

The parser follows RFC 4180 rules: a field wrapped in double quotes can contain commas, newlines, and other delimiters without splitting. Two consecutive double quotes inside a quoted field represent a literal quote character. This means you can safely convert CSV exports from Excel, Google Sheets, and database dumps that include commas in addresses, descriptions, or notes fields.

Common Workflows

Developers convert CSV to JSON when building seed data for databases, preparing payloads for bulk API calls, or migrating data between systems that speak different formats. Data analysts convert exported reports into JSON for consumption by visualization libraries that expect structured objects. Content teams transform spreadsheet-managed translations or product catalogs into JSON files for static site generators.

Choosing a Delimiter

While comma is the default, many European systems export with semicolons because the comma serves as a decimal separator. Tab-separated values (TSV) are common in bioinformatics and legacy systems. Pipe-delimited files appear in mainframe exports. Picking the correct delimiter ensures the parser splits fields at the right boundaries instead of treating the entire row as one field.

Privacy

All parsing happens client-side in JavaScript. No data is uploaded or stored, so you can safely convert exports that contain personal information, internal business data, or credentials.

$ faq

How does the converter handle quoted fields? ▸
Fields wrapped in double quotes are parsed as a single value even if they contain commas, newlines, or other delimiters. Escaped quotes inside a quoted field (two double quotes in a row) are converted to a single quote in the output, following the RFC 4180 CSV standard.
What happens if the first row is treated as headers? ▸
Each subsequent row becomes a JSON object whose keys are the header values. Without headers enabled, every row including the first becomes a plain array of values, and the output is an array of arrays.
Can I use tab-separated or semicolon-separated data? ▸
Yes. The delimiter dropdown lets you choose comma, semicolon, tab, or pipe. Pick the one that matches your data. If none of the presets work, the comma option is the default and most common.
Does the converter auto-detect data types? ▸
When the type detection option is enabled, values that look like numbers are output as JSON numbers instead of strings, and the literals true, false, and null are converted to their JSON equivalents. Disable this option if you want all values to remain strings.
What if my CSV has inconsistent column counts? ▸
Rows with fewer columns than the header get null values for the missing fields. Rows with more columns than the header have the extra values silently dropped. A warning toast appears if any row has a different column count.
Is there a size limit? ▸
The tool runs in your browser, so the practical limit is your device memory. Files up to several megabytes convert quickly. For very large datasets, consider a command-line tool or a streaming parser.
Is my data sent to a server? ▸
No. Parsing runs entirely in client-side JavaScript. Nothing is uploaded or stored.