CSV to JSON Converter
Paste CSV data or upload a .csv file and instantly convert it to a formatted JSON array. Auto-detects delimiters (comma, semicolon, tab) or select manually. Toggle whether the first row is used as object keys. See a table preview of parsed data with row and column counts. Copy the JSON output or download it as a .json file. All parsing happens client-side in your browser.
How to Use
- 1
Input CSV Data
Paste CSV data into the editor or drag and drop a .csv file. The tool auto-detects the delimiter.
- 2
Configure Parsing
Choose a delimiter (comma, semicolon, tab, or auto-detect) and toggle whether the first row contains headers.
- 3
Preview Results
Review the parsed data in the table preview showing rows and columns with correct field mapping.
- 4
Export JSON
Copy the formatted JSON to clipboard or download as a .json file for use in your application.
Examples by Niche
Convert an Excel-exported CSV of product data into a JSON array ready to POST to a REST API endpoint.
Transform a database CSV dump into structured JSON objects for import into a NoSQL database like MongoDB.
Convert a CSV of survey responses into JSON format for processing with JavaScript data analysis scripts.
Frequently Asked Questions
What delimiters are supported?
The tool supports comma, semicolon, and tab delimiters. It auto-detects the delimiter from your data, or you can select it manually from a dropdown.
How are headers handled?
When "first row as headers" is enabled (default), the first row values become JSON object keys. When disabled, the tool uses index-based keys (col0, col1, etc.).
Does it handle quoted fields?
Yes, the parser correctly handles fields wrapped in double quotes, including fields that contain commas, newlines, or escaped quotes inside them.
Can I upload a CSV file instead of pasting?
Yes, you can upload a .csv file directly from your computer using the file upload button. The tool reads the file entirely in your browser — no data is sent to any server. Uploaded files are parsed immediately and shown in the table preview.
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