100% In-Browser Conversion • Zero Server Uploads

CSV to JSON & JSON to CSV Converter

Convert tabular CSV spreadsheets to JSON arrays or transform JSON objects back into delimited CSV files. Fast, private, and fully offline.

Delimiter:

First row has headersPretty JSON

Processed Rows: 4Size: 518 B

Upload File

Input CSV Table

Converted JSON Array

[
  {
    "id": 1,
    "name": "Alice Johnson",
    "role": "Lead Engineer",
    "department": "Software",
    "salary": 145000
  },
  {
    "id": 2,
    "name": "Bob Smith",
    "role": "UI Designer",
    "department": "Product",
    "salary": 115000
  },
  {
    "id": 3,
    "name": "Carol Danvers",
    "role": "Security Analyst",
    "department": "DevOps",
    "salary": 138000
  },
  {
    "id": 4,
    "name": "David Lee",
    "role": "Data Scientist",
    "department": "Analytics",
    "salary": 142000
  }
]

How to Convert Tabular Data Between CSV and JSON

Pick Direction

Choose CSV to JSON when parsing spreadsheet exports, or JSON to CSV when exporting API responses to Excel.

Adjust Delimiters

Choose standard commas, semicolons for European Excel formats, tabs for TSV data, or pipe symbols.

Export Result

Copy the transformed output directly to your clipboard or download the converted `.csv` or `.json` file instantly.

100% In-Browser Privacy Protection

Corporate spreadsheets, sales figures, employee salaries, and database dumps contain critical sensitive data. FileVeda never sends your files or data rows across the network. All conversions execute strictly inside your local browser tab.

FileVeda vs Legacy Online Converters

See how client-side parsing guarantees data sovereignty compared to server-side web converters.

Capability	FileVeda Converter	Cloud Data Converters	Command-Line CLI
Data Transmission	0% Server Uploads (Client-Side)	Uploaded to third-party cloud	Local terminal only
Delimiter Support	Commas, Semicolons, Tabs, Pipes	Often limited to comma only	Flag arguments required
Row & Size Limits	Unlimited (Device RAM Bound)	10MB to 50MB paywall caps	Unlimited
RFC 4180 Escaping	Auto Quoting & Double-Quote Escaping	Frequently corrupts embedded quotes	Depends on installed script
Pricing & Ads	100% Free Forever, No Signup	Paywalls, captchas & spam banners	Free open-source

Technical Guide: RFC 4180 CSV Standards & JSON Serialization

RFC 4180 Compliant Parsing

The IETF RFC 4180 specification formalizes the MIME type text/csv. Under RFC 4180:

Fields containing line breaks (CRLF), double quotes, or delimiters must be enclosed in double quotes.
If double-quotes are used to enclose fields, an inner quote character must be preceded by another double quote ("").
Each record is placed on a separate line delimited by CRLF or standard line breaks.

JSON Type Detection & Flattening

Converting flat tabular data into JSON schemas requires intelligent casting to preserve native JavaScript primitives:

Numeric Detection: Strings matching integer or IEEE 754 float patterns are cast to numbers.
Boolean Types: Case-insensitive true and false are converted to real booleans.
Header Mapping: Row 1 keys map directly to property names of each JSON object in the exported array.

Frequently Asked Questions

Does this tool support custom delimiters like semicolons or tabs?

Yes, FileVeda supports commas (,), semicolons (;), tabs (\t), and pipe (|) delimiters for European Excel formats, TSV feeds, and custom database dumps.

Are my spreadsheets or JSON API payloads uploaded to a remote server?

Never. All data parsing and serialization run 100% client-side inside your browser's V8 JavaScript engine. Proprietary business tables and confidential customer records never touch the network.

How does FileVeda handle RFC 4180 escaping, quotes, and newlines in cells?

The parser strictly adheres to RFC 4180 standard specifications: cells containing quotation marks, commas, or line breaks are wrapped in double quotes, and internal quotes are automatically doubled (escaped as "").

Does the converter preserve numbers, booleans, and null values in JSON?

Yes, during CSV to JSON conversion, numeric strings ('42', '3.14') and boolean literals ('true', 'false') are automatically cast into native JSON types rather than strings when valid.

What is the maximum file size for converting CSV or JSON?

Because conversion runs locally with your device's memory and CPU, you can easily parse large files up to several hundred megabytes without server upload timeouts or arbitrary row restrictions.

Can I convert nested JSON objects or arrays into CSV tables?

Yes, nested object properties are flattened or serialized into readable JSON string representations within the table cell so that no child attributes are lost during export.