Everything runs on your machine — your file is processed right here in your browser and never uploaded to any server.
Input
CSV
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Output
JSON
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About this tool

CSV is the lingua franca of spreadsheets, but most modern software wants JSON. This converter bridges that gap: paste rows exported from Excel, Google Sheets, a CRM report or a database dump into the left editor, and structured JSON appears instantly on the right. The first row of your file is treated as the header row, and every row after it becomes a JSON object whose keys are those column headers, so a sheet of contacts turns directly into an array of contact objects you can feed to an API, a fetch mock or a NoSQL import.

The converter does more than wrap strings in braces. Values that look like numbers become real JSON numbers, true and false become booleans, and blank lines in the middle of a file are skipped rather than producing empty junk objects. That makes it handy for developers seeding test databases, analysts moving report exports into JavaScript charting libraries, and anyone writing fixture data for a frontend without hand-typing brackets and quotes.

How to use

  1. Paste your CSV text into the left editor, or click Load File to open a .csv file from your computer.
  2. Make sure the first line contains your column names, since that row becomes the keys of every JSON object.
  3. Watch the right editor: the JSON output updates instantly as you type or edit the input.
  4. Click Copy to put the result on your clipboard, or Download to save it as a file.
  5. Use Clear to empty both editors and start over with a new dataset.

Every row you convert is parsed by JavaScript running inside your own browser tab. Nothing is transmitted, logged or stored anywhere else, so customer lists, financial exports and other sensitive spreadsheets stay entirely on your machine.

Frequently asked questions

How does the converter decide whether a value is a number or a string?

Each cell is inspected after parsing. If the text reads as a valid number it is output as a JSON number, and the literals true and false become JSON booleans. Anything else, including values with letters or mixed characters, stays a string.

Can I convert files that use semicolons or tabs instead of commas?

Not directly. The tool expects standard comma-separated values with a header row on the first line. If your export uses a different delimiter, replace it with commas first, or re-export the file as true CSV from your spreadsheet program.

What happens to empty lines and missing values?

Completely empty lines are skipped, so trailing blank rows at the end of an export do not create empty objects. Individual empty cells within a row still appear in the output as empty values under their column key.