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CSV to JSON

An array of objects, one per row. Switch to NDJSON for line-delimited output.

  • 100% local conversion
  • No file uploads
  • Preserves structure
  • Supports large files
Example Output
[
  {
    "name": "Ada",
    "role": "Engineer"
  }
]

Convert CSV to JSON →

Convert CSV to JSON Drop a spreadsheet, pick an output format, and download the result. Everything runs in your browser — the file never leaves your machine.
info Supports CSV, TSV, TXT • Max file size: 100 MB
Convert to:

More formats coming soon

Also: JSON to CSV

Paste a JSON array of objects and get a CSV with headers derived from the keys.

The Complete Guide to Converting CSV to JSON

JSON (JavaScript Object Notation) is the de-facto standard for exchanging data between web services, APIs, and modern applications. While CSV is ideal for spreadsheet workflows, most REST APIs, NoSQL databases, and JavaScript frameworks expect data in JSON format. Converting a CSV file to JSON bridges that gap without requiring you to reformat anything by hand.

When you convert a CSV to JSON with ConvertRow, each row in your spreadsheet becomes a JSON object and each column header becomes a key. The result is an array of objects that any JavaScript, Python, or Node.js application can consume directly. You can also choose NDJSON (newline-delimited JSON) for streaming pipelines that process one record at a time.

The conversion runs entirely in your browser. Your CSV file is parsed using a local Web Worker — no data is ever sent to a server. This means the conversion is as fast as your device, works offline after the page loads, and is safe for confidential or proprietary datasets.

For best results, make sure your CSV has a clear header row as the first line. Column names become JSON keys, so descriptive names like first_name instead of col1 will make your JSON much easier to work with downstream. If your file uses semicolons or tabs as delimiters, the parser detects them automatically.

Common use cases for CSV to JSON conversion:

  • Feeding data into a REST API that requires a JSON request body
  • Importing records into MongoDB, Firestore, or other document databases
  • Providing seed data for a Node.js or Python application
  • Transforming an exported report for use in a React or Vue front-end
  • Sharing structured data with developers who work in JavaScript

Frequently Asked Questions

Yes. Every column header in your CSV becomes a key in each JSON object. If your CSV has headers "name", "email", and "age", each JSON record will have exactly those three keys with the corresponding row values as their values.

A JSON array wraps all records in a single [ ] block — ideal for most APIs and applications. NDJSON (newline-delimited JSON) writes one JSON object per line with no surrounding array — this format is preferred for large datasets and log-processing pipelines because each line can be read and parsed independently without loading the entire file into memory.

Yes. ConvertRow uses a streaming CSV parser (PapaParse) that keeps the browser tab responsive even for files with hundreds of thousands of rows. The resulting JSON file is assembled in memory and downloaded directly — there is no server-side size limit.

The parser handles RFC 4180 quoting automatically. Cells wrapped in double quotes, cells with embedded commas, and cells with escaped quotes are all parsed correctly and written into the JSON values exactly as they appear in the original CSV.

No. The entire conversion runs in your browser using a local Web Worker. Your file never leaves your device, which means it is safe to convert confidential data like customer records, financial exports, or personal information.