Convert CSV to JSON Online Free
Transform tabular CSV data into structured JSON arrays. Each row becomes a JSON object with your CSV headers as keys. Ready for APIs, databases, and web apps.
To convert CSV to JSON, drop your .csv file onto the converter. The first row is used as property names, and each subsequent row becomes a JSON object. The result is an array of objects, ready for use in any application.
Convert CSV to JSON
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CSV vs JSON: Format Comparison
Key differences between the two formats
When to Convert
Common scenarios where this conversion is useful
Building API payloads
Convert CSV exports into JSON arrays to POST to REST APIs. Each row becomes a JSON object ready for batch inserts or bulk operations.
Seeding databases
MongoDB, CouchDB, Firestore, and many NoSQL databases accept JSON for imports. Convert your CSV data files to JSON for direct database seeding.
JavaScript application data
Load data directly into JavaScript applications. JSON is natively parsed by browsers, making it the ideal format for client-side data handling.
Data transformation pipelines
Convert CSV to JSON as the first step in ETL pipelines. JSON is easier to manipulate programmatically than CSV for complex transformations.
How to Convert CSV to JSON
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1
Upload your CSV file
Drag and drop your .csv file onto the converter, or click to browse. The parser auto-detects commas, semicolons, and tab delimiters.
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2
Automatic conversion
The first row is treated as headers (object keys). Each subsequent row becomes a JSON object in the output array. Empty rows are skipped.
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3
Download the JSON result
Click Download to save your .json file. The output is pretty-printed with 2-space indentation for readability.
Frequently Asked Questions
The first row of your CSV becomes the property names (keys) for each JSON object. For example, a header 'name' means each row will have a 'name' property.
If there is no header row, the first data row will be treated as headers. Consider adding headers before converting for meaningful JSON keys.
Yes. The parser detects numeric values and converts them to JSON numbers rather than strings. Values like '42' become 42 and '3.14' becomes 3.14 in the output.
Empty CSV fields become empty strings in the JSON output. Completely empty rows are skipped.
Fields containing commas should be wrapped in double quotes in the CSV, following RFC 4180. The parser correctly handles quoted fields with embedded commas.
Yes. The parser auto-detects commas, semicolons, tabs, and pipe characters as delimiters. You do not need to specify the delimiter manually.
UTF-8 is recommended and fully supported. Windows-1252 and Latin-1 encoded files may have issues with special characters. Save your CSV as UTF-8 for best results.
The JSON output is pretty-printed with 2-space indentation. Each object is on multiple lines for readability.
Yes. The converter handles files with hundreds of thousands of rows. Performance depends on your device's available memory.
Yes. The conversion happens entirely in your browser. Your data is never uploaded to any server, making it safe for sensitive or proprietary datasets.
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