TXT to CSV Converter
Turn unstructured plain text into a properly escaped CSV file by choosing how each line should be split — keep each line as a single cell, split on whitespace to create multiple columns, or provide any custom delimiter character such as a pipe or semicolon. Fields that contain commas or quotes are automatically wrapped in double-quotes to produce valid CSV output. The conversion updates live in your browser as you type, with no server upload required.
Plain Text
Mode
CSV
What is Plain Text to CSV Converter?
Structured data hides in plain text files all the time — log files with consistent field separators, fixed-width exports from mainframe systems, pipe-delimited data feeds from legacy vendors, and .env-style key=value configuration files. Getting that data into a spreadsheet or database requires CSV, but the source has the wrong format or no format at all. This tool bridges that gap: it analyses the text file's structure, identifies the most likely delimiter (tab, pipe, space, colon, semicolon, or a custom character), and converts each line to a properly formatted CSV row. Fixed-width mode uses character position offsets to slice columns from line-by-line formatted output. Lines with inconsistent column counts are handled gracefully — either padded with empty columns or flagged in a summary report. The output is RFC 4180-compliant CSV, ready for import into any spreadsheet or database tool.
How to Use
- 1
Paste or Upload Your Text File
Paste plain text or upload a .txt file. The tool analyses the first few lines to detect the most likely delimiter (tab, pipe, space, colon, or custom character) before conversion.
- 2
Configure Parsing Rules
Confirm or override the detected delimiter, specify whether to treat the first line as a header row, set how to handle multiple consecutive delimiters, and choose an encoding if the file contains non-ASCII characters.
- 3
Convert to CSV
Click "Convert to CSV". Each line becomes a CSV row; values are split on the delimiter and re-joined with commas, with RFC 4180 quoting applied to values that contain commas.
- 4
Download or Use the CSV
Copy the CSV for immediate use or download it as a .csv file for import into Excel, Google Sheets, a database tool, or any CSV-compatible data processing pipeline.
Common Use Cases
Log File Structuring
Convert plain-text log files with consistent delimiters (spaces, pipes, colons) into CSV for loading into log analysis tools, Excel, or databases that expect structured columnar data.
Fixed-Width File Conversion
Mainframe and legacy system exports often use fixed-width text files. Define column positions to parse fixed-width fields and convert them to standard CSV for modern system compatibility.
Custom Delimiter Text Processing
Text data files using unconventional delimiters (pipe |, semicolon ;, tilde ~) can be converted to standard CSV by specifying the source delimiter, enabling use with any CSV-compatible tool.
Address & Contact List Parsing
Plain-text address lists or contact exports with consistent formatting can be parsed into CSV columns for import into CRM systems, mailing tools, or databases.
Conversion Examples
Pipe-Delimited Text → CSV
Pipe characters are replaced with commas to produce standard CSV.
Input JSON
id|name|department|salary 1|Alice|Engineering|95000 2|Bob|Marketing|72000
Output CSV
id,name,department,salary 1,Alice,Engineering,95000 2,Bob,Marketing,72000
Space-Separated Text → CSV
Multiple spaces or consistent whitespace are collapsed into CSV delimiters.
Input JSON
Alice 30 London Engineer Bob 25 Paris Designer
Output CSV
Alice,30,London,Engineer Bob,25,Paris,Designer