# Text to CSV Converter

Convert various text formats to CSV with customizable parsing options

> Canonical page: https://elysiatools.com/en/tools/text-to-csv

- **Category:** Text Processing

- **Keywords:** text, csv, converter, data, parse, delimiter, export, format

## Overview

The Text to CSV Converter is a versatile utility designed to transform structured text data, such as TSV, JSON, or custom-delimited strings, into a clean, standardized CSV format for spreadsheet software and database imports.

## Inputs

- **Text Input** (textarea): Enter your text data to convert to CSV: Name,Age,City John,25,New York Jane,30,London Or paste tab-separated data, JSON, or other formats...
- **Input Format** (select)
- **Custom Delimiter (for custom format)** (text): Enter delimiter character (e.g., |, ;, \t)
- **Include Header Row** (checkbox)
- **Quote Mode** (select)
- **Line Ending** (select)
- **Preview Rows (0 for all)** (number): Number of rows to preview (0 = all)
- **Show Conversion Statistics** (checkbox)

## When to use

- Converting raw log files or clipboard data into a structured table format.
- Standardizing inconsistent data sources by applying custom delimiters and quote modes.
- Preparing JSON arrays or tab-separated datasets for migration into Excel or Google Sheets.

## How it works

- Paste your raw text data into the input area.
- Select your source format or define a custom delimiter if necessary.
- Adjust output settings like quote modes and line endings to match your target system requirements.
- Generate and download your formatted CSV file instantly.

## Use cases

- Migrating contact lists from legacy CRM exports into modern spreadsheet formats.
- Cleaning up log files by converting space-separated values into comma-separated columns.
- Transforming API response data (JSON) into a flat table for quick reporting.

## Frequently asked questions

### Can I convert JSON data to CSV?

Yes, select 'JSON Array' as the input format, and the tool will automatically parse the objects into rows and columns.

### What should I do if my data uses a unique separator?

Choose 'Custom Delimiter' from the input format menu and enter your specific character, such as a pipe (|) or semicolon (;).

### How do I handle special characters in my data?

Use the 'Quote Mode' setting to wrap fields in quotes, which ensures that commas or newlines within your data do not break the CSV structure.

### Does this tool support large datasets?

The tool is optimized for browser-based processing; for extremely large files, we recommend processing in smaller batches.

### Can I change the line endings for different operating systems?

Yes, you can toggle between Windows (CRLF), Unix/Linux (LF), and Classic Mac (CR) line endings in the settings.

## Related tools

- [BOM Character Remover](https://elysiatools.com/en/tools/data-bom-remover): Remove BOM (Byte Order Mark) characters from text and file content. Perfect for cleaning up text files that have encoding issues, fixing CSV imports, and preparing data for processing. Features: - Detect and remove UTF-8 BOM (EF BB BF) - Detect and remove UTF-16 BOM (FE FF or FF FE) - Detect and remove UTF-32 BOM (00 00 FE FF or FF FE 00 00) - Support multiple input formats - Visual BOM character display - Detailed detection report - Support for batch text processing Common Use Cases: - Fix CSV file import errors - Clean up text file encoding issues - Prepare data for JSON parsing - Fix XML parsing problems - Resolve API data encoding conflicts - Standardize text data format
- [Data Noise Injection](https://elysiatools.com/en/tools/data-noise-injection): Inject various types of noise into text data for testing purposes. Perfect for stress testing data processing systems, testing data quality algorithms, and creating realistic test datasets. Features: - Character-level noise injection - Word-level noise injection - Numeric data noise - Formatting noise - Whitespace noise - Special character noise - Configurable intensity levels - Realistic noise patterns Common Use Cases: - Test data validation systems - Stress test parsing algorithms - Evaluate error handling - Test data cleaning algorithms - Create realistic messy data - Benchmark data processing performance
- [Field-Level Data Decryptor](https://elysiatools.com/en/tools/field-decryptor): Decrypt specific fields in CSV data using various decryption methods to restore encrypted information
- [Text File to PDF Converter - 文本文件转PDF转换器](https://elysiatools.com/en/tools/text-file-to-pdf-converter): Convert text files (.txt, .md, .csv, etc.) to PDF documents with customizable formatting and encoding support
- [Text to Excel Converter](https://elysiatools.com/en/tools/text-to-excel): Convert various text formats to Excel with customizable parsing and formatting options
- [XML to CSV Converter](https://elysiatools.com/en/tools/xml-to-csv): Convert XML data to CSV format with customizable parsing options
- [Messy Text to Structured Data Workbench](https://elysiatools.com/en/tools/messy-text-to-structured-data-workbench): Infer tables from pasted text, mixed delimiters, key-value lines, or HTML and export CSV, JSON, and Markdown.
- [Markdown Table Generator](https://elysiatools.com/en/tools/markdown-table-generator): Generate formatted Markdown tables from CSV, JSON, or array data with alignment, header styles, width control, and merge hints

## Samples

- [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels
- [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis
- [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations
- [Text Case Format Samples](https://elysiatools.com/en/samples/text-case-formats): Examples of different text case formats: camelCase, snake_case, kebab-case, PascalCase, and more

## Related content

- [Semi-Structured Text Parsing and Table Extraction](https://elysiatools.com/en/hubs/semi-structured-text-table-extraction): Parse fixed-width records, messy delimited text, logs, Markdown tables, and HTML tables into CSV, JSON, XML, or Excel with reviewable cleanup steps.
- [Tabular Data Conversion Workflow](https://elysiatools.com/en/hubs/csv-convert): Convert CSV, spreadsheets, JSON, HTML tables, Markdown, XML, and text while checking headers, delimiters, types, and encoding.
