merge-json-files.com
Free browser-based CSV generator

TXT to CSV Converter Online

Convert plain text, TXT files, logs, key/value pairs, whitespace tables, and delimited rows into clean CSV. Preview instantly, choose headers and delimiters, then download a spreadsheet-ready .csv or .tsv file. No upload or signup required.

name: value or name=value pairs - 0 B
CSV output
Your CSV output will appear here as you type.
ReadyPrivate browser conversion - no upload

Need sample text or CSV files to test conversion?

Download Sample TXT FilesDownload Sample CSV Files

TXT to CSV Example

A simple key/value text list becomes spreadsheet-ready rows.

Plain Text Input
text
name: Alice Johnson
role: Data Engineer
location: Austin
CSV Output
csv
key,value
name,Alice Johnson
role,Data Engineer
location,Austin

How It Works

Made for pasted text, not only clean file uploads.

1

Paste or Upload

Add plain text, logs, lists, key/value lines, reports, or any .txt file.

2

Choose Structure

Convert by line, key/value pair, whitespace table, or delimited row.

3

Set CSV Options

Pick output delimiter, headers, trimming, empty-line handling, and space cleanup.

4

Export CSV

Copy the preview or download a clean .csv or .tsv file instantly.

Use Cases

Where TXT to CSV conversion is genuinely useful.

Spreadsheet Cleanup

Turn copied lists, report rows, keyword sets, URLs, or operational notes into spreadsheet-ready CSV.

Log and Config Parsing

Convert simple key/value text, exported config snippets, and terminal tables into structured rows.

Private Data Prep

Convert sensitive notes, IDs, customer exports, or internal logs locally without uploading source text.

Import Preparation

Prepare CSV files for Excel, Google Sheets, Airtable, databases, CRMs, dashboards, and CSV editors.

TXT to CSV in Python

For repeatable local scripts and pipelines.

If you need to automate text-to-CSV conversion, Python's built-in csv module handles quoting safely. The online tool is faster for quick cleanup and one-off conversion; a script is better for scheduled exports or repeatable jobs.

Pythontxt_to_csv.py
import csv

lines = [
    "name: Alice Johnson",
    "role: Data Engineer",
    "location: Austin",
]

rows = []
for line in lines:
    key, value = line.split(":", 1)
    rows.append([key.strip(), value.strip()])

with open("text-output.csv", "w", newline="", encoding="utf-8") as file:
    writer = csv.writer(file)
    writer.writerow(["key", "value"])
    writer.writerows(rows)

Frequently Asked Questions

Complete TXT to CSV Guide

How to Convert TXT to CSV Online

CSV is useful because it turns loose text into rows and columns that spreadsheets, databases, BI tools, and scripts can understand. A TXT file might contain a list, log output, key/value notes, copied report rows, or whitespace-aligned data. The right TXT to CSV converter should let you choose how that text becomes a table.

Pick the Right TXT to CSV Mode

Use Lines when each line should become one row in a single CSV column. This is ideal for lists of names, IDs, URLs, product titles, keywords, or quick notes. Use Key/value when each line looks like name: Alice,status=active, or a tab-separated label and value.

Use Whitespace table for fixed-width text copied from terminals, logs, PDFs, or reports where multiple spaces separate columns. Use Delimited rowswhen your TXT file already contains comma, tab, pipe, semicolon, or space-separated values.

Why CSV Quoting Matters

Good CSV output must quote values when they contain commas, quotes, or line breaks. Without quoting, spreadsheet apps can shift cells into the wrong columns. This converter escapes quotes correctly and keeps rows aligned so the downloaded file opens cleanly in Excel, Google Sheets, Numbers, Airtable, databases, and CSV editors.

TXT to CSV Best Practices

  • Turn on the header row when the CSV will be imported into a spreadsheet or database.
  • Use key/value mode for labeled text instead of manually splitting each line.
  • Use tab output when values already contain many commas.
  • Keep empty lines only when blank rows are meaningful in the final file.
  • Preview the output before downloading if your source text came from a PDF or terminal.

When to Use CSV Instead of Plain Text

Plain text is easy to read, but CSV is easier to sort, filter, deduplicate, import, and analyze. If you already have structured files, the CSV merger can combine multiple CSV files after conversion, and the JSON to Excel converter can help when your next step is a spreadsheet workbook.

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