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CSV to JSON Converter - Convert CSV to JSON Online

Switch to JSON → CSV
Input CSV
JSON Output

About the CSV to JSON Converter

CSV is the most common format for exporting data from spreadsheets, databases, and analytics tools. But most modern APIs, front-end frameworks, and data processing libraries expect JSON. This converter takes your CSV data, whether exported from Excel, Google Sheets, a SQL query, or any other source, and turns it into a clean JSON array of objects, with each row represented as a key-value pair mapping.

The conversion runs entirely in your browser. Nothing is uploaded to a server, so you can safely convert CSV files that contain customer data, financial records, or other private information.

How to Use the Converter

Paste your CSV data into the left-hand editor. The first row is used as column headers, and each subsequent row becomes a JSON object. The resulting JSON array appears instantly in the output panel on the right. Copy it with the copy button and use it in your application, API request, or data pipeline.

Features

  • Automatic header detection. The first row of your CSV is used as object keys, so you get meaningful property names in the JSON output.
  • RFC 4180 compliant parsing. Quoted fields, embedded commas, escaped double quotes, and newlines inside values are all handled correctly.
  • Graceful edge-case handling. Empty rows are skipped, and rows with fewer columns than the header get empty-string defaults rather than causing errors.
  • Instant conversion. Output updates as you type or paste, so you can quickly verify the structure looks right.
  • Client-side processing. Your data never leaves your browser. No uploads, no server storage.

Common Use Cases

Data analysts who need to feed spreadsheet exports into a JavaScript visualisation library can convert the CSV to JSON and load it directly. Back-end developers building import endpoints can use this tool to preview what the parsed data will look like before writing ingestion code. And anyone migrating data between systems, from a CSV-based legacy tool to a JSON-based API, can use the converter to validate the mapping and spot issues like missing columns or misaligned rows before writing automation scripts.

Frequently Asked Questions

How does the converter detect column headers?
The first row of your CSV is always treated as the header row. Each value in that row becomes a key in the resulting JSON objects. If a header cell is empty, it is assigned a default name like "column1" or "column2" based on its position.
How are special characters and commas inside values handled?
The converter follows RFC 4180, the standard for CSV formatting. Fields that contain commas, double quotes, or newlines should be wrapped in double quotes. Double quotes inside a quoted field are escaped by doubling them (""). The converter correctly parses all of these cases.
What happens if rows have different numbers of columns?
If a row has fewer columns than the header row, the missing values are set to empty strings in the JSON output. Extra columns beyond the header count are ignored. This lets you convert slightly messy CSV data without errors.
Are numeric values converted to JSON numbers?
All values are kept as strings in the JSON output. CSV does not have a type system, so the converter preserves values exactly as they appear in the input. You can post-process the JSON to convert specific fields to numbers, booleans, or dates in your application code.
Can I convert TSV (tab-separated) data?
This converter is designed for comma-separated values. For tab-separated data, replace tabs with commas before pasting, or use a find-and-replace step. A dedicated TSV converter may be added in the future.