CSV to JSON Converter
Convert tabular spreadsheet exports into valid JSON. Automatically parses headers, auto-detects delimiters (comma, semicolon, tab), and handles quoted strings with commas.
What is the CSV to JSON Converter?
This tool converts CSV (Comma-Separated Values) and TSV files into formatted JSON arrays or nested objects, running entirely inside your browser.
RFC 4180 State Machine Parsing and Type Inference
Simple string splitting on commas fails whenever cells contain commas, quotes, or line breaks. The parser utilizes a finite state machine that respects RFC 4180: double quotes enclose fields containing delimiters, and two consecutive double quotes ("") represent an escaped quote. Each field is evaluated for primitive types (e.g. "123" becomes integer 123, "true" becomes boolean true).
How to Use the CSV to JSON Converter
Input CSV Data
Paste your raw CSV text into the input box or upload a .csv file from your computer.
Choose Output Structure
Select array of objects (standard for APIs) or array of arrays (compact).
Copy or Download JSON
Inspect the live JSON preview and copy to your clipboard or download the .json file.
Key Settings & Parameters
| Setting | What It Controls | Recommended Default |
|---|---|---|
| Delimiter | Sets the separator character (Comma for CSV, Tab for TSV, Semicolon for European formats). | Auto-detect or Comma |
| Parse Numbers & Booleans | Converts "42" to 42 instead of keeping it as a string. | Enabled for database seeding |
Common Pitfalls to Avoid
-
• Unbalanced quotes in CSV cellsIf a field contains a quotation mark, ensure it is properly escaped with double quotes ("") according to RFC 4180.
-
• Mismatched column countsEnsure every row contains the exact same number of delimiter separators as the header row.
Pro Tips for Best Results
- If your Excel spreadsheet exports dates as strings like "2026-03-15", keeping string mode preserves exact ISO format without timezone shifts.
Local Processing Guarantee
Zero server communication. Your customer lists, sales reports, and proprietary spreadsheets are parsed locally.
When to Use
- Importing Excel or Google Sheets exports into MongoDB, Firebase, or PostgreSQL JSONB columns.
- Converting tabular analytics data into mock payloads for front-end API testing.
- Transforming customer rosters or product catalogs into programmatic fixtures.
- • Very large CSV files (>50MB or >500,000 rows) can consume considerable browser RAM when converted to verbose JSON objects.