CSV to JSON Converter
Convert CSV data to JSON format instantly. Supports custom delimiters, header rows, and handles quoted fields automatically.
How to Convert CSV to JSON
- 1Paste your CSV data into the input box
- 2Select the correct delimiter (comma, semicolon, tab, or pipe)
- 3Toggle 'First row is header' based on your CSV structure
- 4Copy or download the resulting JSON
Key Benefits
- Supports comma, semicolon, tab, and pipe delimiters
- Handles quoted fields with commas inside
- Auto-detects and uses header rows as JSON keys
- Processes large CSV files without a server
Frequently Asked Questions
What delimiter should I use?
Use comma for standard CSV files exported from most tools. Use semicolon if the file came from Excel in a region where comma is the decimal separator (common in many European countries). Use tab for TSV files (common in database and analytics exports). Use pipe for custom internal formats. If unsure, open the raw file in a text editor to see which character separates the values.
What if my CSV has no headers?
Toggle off 'First row is header'. The JSON output will use numeric keys (0, 1, 2...) for each column position. You can then rename the keys in the output JSON, or add a header row to your CSV before converting.
Can this handle large CSV files?
The tool processes CSV entirely in the browser with no file size limit imposed by a server. Files of a few megabytes convert instantly. Very large files (tens of megabytes or more) may take a few seconds depending on your device. For data over 50 MB, a server-side tool or script may be more practical.
What does the converted JSON look like?
Each CSV row becomes a JSON object and all rows are wrapped in an array. A two-row CSV with headers name,age followed by Alice,30 and Bob,25 produces an array of two objects: one with name Alice and age 30, another with name Bob and age 25. Note that all values are strings in the output — if you need numbers or booleans, parse them on the receiving side.
What are common uses for CSV to JSON conversion?
Feeding spreadsheet exports into a REST API, preparing test fixtures for development, converting report exports for use in JavaScript applications, migrating data between systems with different format requirements, and transforming database dumps for NoSQL or document store imports.
What are common conversion errors to watch out for?
Wrong delimiter selection is the most frequent issue — the output looks like one huge key if commas are in the data but you selected semicolon. Other common problems: CSV fields containing commas that were not quoted in the source, inconsistent column counts between rows, and duplicate header names (which overwrite each other in JSON). If output looks wrong, check the delimiter first, then inspect the raw CSV for quoting issues.