CSV Converter
Convert CSV (Comma-Separated Values) data to JSON, HTML tables, Markdown and other formats. Supports custom delimiters, headers and multiple output formats.
CSV Converter
Delimiter:
Output format:
📊 How to use:
1. Paste your CSV data in the input field
2. Select the correct delimiter (comma, semicolon or tab)
3. Choose the desired output format
4. Click on "Convert CSV"
💡 Expected CSV format:
The first line should contain the column headers.
Each following line represents a data record.
📖 Example:name,age,city
John,30,New York
Maria,25,Los Angeles
What is CSV?
CSV (Comma-Separated Values) is a simple file format used to store tabular data in plain text. Each line represents a data record, and each record consists of fields separated by commas (or other delimiters).
Supported Output Formats
- JSON: Converts to JavaScript Object Notation for APIs and web applications
- HTML Table: Generates HTML table markup ready for use
- Markdown Table: Creates markdown tables for documentation
- SQL INSERT: Generates SQL INSERT statements for database import
- XML: Transforms to XML format for enterprise systems
- TSV: Converts to Tab-Separated Values
Common CSV Delimiters
- Comma (,): Standard CSV format
- Semicolon (;): Common in European countries
- Tab (\t): TSV (Tab-Separated Values)
- Pipe (|): Frequently used in log files
- Colon (:): Less common, but valid
CSV to JSON Conversion
Converting CSV to JSON is one of the most common transformations. Each CSV row becomes a JSON object, with column headers becoming object keys:
Common Use Cases
- Data Migration: Import CSV data to databases or applications
- API Integration: Convert spreadsheet data to JSON for REST APIs
- Documentation: Transform data into markdown tables for README files
- Web Development: Create HTML tables from CSV exports
- Data Analysis: Prepare CSV data for JavaScript processing
- Report Generation: Convert raw data to formatted output
CSV Parsing Challenges
CSV parsing can be tricky due to several special cases:
- Quoted Fields: Fields containing delimiters must be quoted
- Escaped Quotes: Quotes inside quoted fields are escaped ("")
- Line Breaks: Fields can contain line breaks when properly quoted
- Empty Fields: Consecutive delimiters indicate empty values
- Header Detection: The first line may or may not be headers
- Encoding Issues: UTF-8, Latin-1 and other character encodings
Best Practices
- Always include a header line to identify columns
- Use quotes around fields containing special characters
- Choose delimiters that don't appear in your data
- Validate the output format before using in production
- Handle null/empty values consistently
- Test with edge cases like quotes, commas, and line breaks
Privacy and Security
All CSV processing happens entirely in your browser. Your data is never sent to any server, ensuring complete privacy and security for sensitive business data and personal information.