Free online CSV to JSON converter. Paste your CSV data and instantly convert it to formatted JSON. Supports headers, custom delimiters, and file download.
CSV (Comma-Separated Values) is the most common format for tabular data exports from spreadsheets, databases, and analytics tools. JSON is the standard format for APIs, web applications, and modern data pipelines. Converting between them is a daily task for developers, data analysts, and anyone working with data.
This free CSV to JSON converter transforms any CSV data into a clean JSON array of objects, using the first row of your CSV as the property keys. Each subsequent row becomes a JSON object in the output array.
The converter handles common CSV edge cases including values that contain commas (wrapped in quotes), multi-line values, and different line ending formats (Windows CRLF and Unix LF). It works with exports from Excel, Google Sheets, MySQL, PostgreSQL, and any other CSV-producing tool.
All conversion runs in your browser — your data is never sent to any server. This makes it safe to convert sensitive business data, personally identifiable information, and confidential records.
CSV (Comma-Separated Values) is a plain text format where each line represents a row of data and values are separated by commas. The first row typically contains column headers. It is the most universal data exchange format, supported by every spreadsheet application, database, and analytics tool.
Values containing commas must be wrapped in double quotes in valid CSV (e.g., "Smith, John"). The converter handles this correctly — the entire quoted value is treated as a single field, not split at the comma.
Some regional CSV exports use semicolons (common in European locales) or tabs (TSV format) as delimiters. If your file uses a different delimiter, you may need to find-and-replace it before converting. Future updates will add delimiter selection.
Empty cells in the CSV are converted to empty strings ("") in the JSON output. They are included as properties with empty values rather than being omitted, which preserves the data structure. You can handle null/empty values in your application after conversion.
Currently the tool works by pasting CSV text. To convert a file, open it in a text editor (or Excel → Save As → CSV), select all the text, paste it into the tool, and convert. Direct file upload may be added in future.
The output is a JSON array of objects. Each object represents one CSV row, with keys taken from the header row and values from that row's cells. For example, a CSV with columns "name,age" produces [{"name":"Alice","age":"30"},{"name":"Bob","age":"25"}].
By default, all values are output as strings. If you need numbers, booleans, or null values, you will need to post-process the JSON in your application. This is intentional — the converter cannot reliably infer data types without explicit instructions.