CSV to JSON Converter

Transform CSV spreadsheet data into a JSON array of objects with full control over delimiters — comma, tab, semicolon, or pipe — and automatic header row detection. You can paste raw text, upload a file, or fetch a remote CSV by URL. Conversion happens instantly in your browser without any file uploads to a server.

Input

CSV

Delimiter

Options

Output

3 rows, 4 columns
Output

JSON

What is CSV to JSON Converter?

CSV is the lingua franca of data exports — but the tools that consume it are increasingly JSON-native. Whether you are loading a spreadsheet export into a React app, pushing rows to a REST API, or seeding a MongoDB collection, the first step is always the same: turn the CSV into a JSON array. This parser handles the edge cases that simpler tools miss: quoted fields containing commas, embedded newlines inside quotes, escaped double-quote characters per RFC 4180, and inconsistent column counts between rows. Delimiter auto-detection identifies commas, tabs, semicolons, and pipes from the first line. Type coercion is optional — enable it to convert numeric strings to numbers and true/false to booleans, or keep everything as strings for strict control. The entire file is parsed in the browser; your CSV data is never uploaded to any server.

How to Use

  1. 1

    Paste or Upload Your CSV

    Paste CSV text directly into the input panel, or click "Upload" to select a .csv file from your computer. Files up to several hundred MB are handled entirely in the browser.

  2. 2

    Configure Parsing Options

    The delimiter is auto-detected from the first line — override it if needed. Toggle header row usage, enable type coercion to convert numeric strings to numbers, and set how empty cells are handled.

  3. 3

    Parse to JSON

    Click "Convert to JSON". RFC 4180-compliant parsing handles quoted fields, embedded commas, and escaped double quotes correctly. The output array appears with syntax highlighting.

  4. 4

    Copy or Download the JSON

    Copy the JSON array to your clipboard for immediate use in an API call, code editor, or database tool — or download it as a .json file for your data pipeline.

Common Use Cases

Frontend Data Mocking

Export a spreadsheet as CSV and convert it to JSON arrays to use as static fixture data or mock API responses in React, Vue, or Angular apps without a backend.

ETL Pipeline Ingestion

Many ETL and data pipeline tools (Apache NiFi, AWS Glue, dbt) consume JSON natively. Convert CSV exports from legacy systems into JSON before loading them into modern data platforms.

API Payload Preparation

REST APIs typically accept JSON request bodies. Convert a CSV of records — users, products, transactions — into a JSON array to bulk-import data via API without manual reformatting.

NoSQL Database Seeding

MongoDB, DynamoDB, and Firestore all accept JSON documents. Convert CSV spreadsheet data into a JSON array and use it directly as seed data for your document database collections.

Conversion Examples

Basic CSV → JSON Array

Each row becomes a JSON object; the header row provides the keys.

Input JSON

name,age,city
Alice,30,London
Bob,25,Paris
Carol,35,Berlin

Output CSV

[
  {"name":"Alice","age":"30","city":"London"},
  {"name":"Bob","age":"25","city":"Paris"},
  {"name":"Carol","age":"35","city":"Berlin"}
]

Tab-Separated (TSV) → JSON

Select "Tab" as the delimiter to parse TSV exports from Excel or Google Sheets.

Input JSON

id	product	price
1	Widget	9.99
2	Gadget	24.99

Output CSV

[
  {"id":"1","product":"Widget","price":"9.99"},
  {"id":"2","product":"Gadget","price":"24.99"}
]

Quoted Fields with Commas → JSON

Fields containing commas are quoted per RFC 4180 and parsed correctly.

Input JSON

name,address
Alice,"123 Main St, London"
Bob,"45 Rue de Rivoli, Paris"

Output CSV

[
  {"name":"Alice","address":"123 Main St, London"},
  {"name":"Bob","address":"45 Rue de Rivoli, Paris"}
]

Frequently Asked Questions