8 Best CSV Editors for Windows in 2026 (Free and Paid)
Compare eight current CSV editors for Windows, from free grid tools to large-file software, with clear limits for Excel imports, licensing, and safe CSV saves.
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.
or drag and drop a .txt, .log, .csv or .tsv file here
name: Alice Johnson
role: Data Engineer
location: Austinkey,value
name,Alice Johnson
role,Data Engineer
location,AustinPaste text or upload a .txt file.
Lines, key/value pairs, a whitespace table or delimited rows. Set the delimiter and headers in Options.
Copy the CSV or download it as a .csv or .tsv file.
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.
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)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.
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 aligned text copied from terminals, logs, PDFs, or reports. It splits a line wherever two or more spaces (or tabs) appear, so values with single spaces stay in one cell; a line without such a gap is split on every space or tab. Columns are named field_1, field_2, and so on unless you enable First row headers. Use Delimited rows when your TXT file already contains comma, tab, pipe, semicolon, or space-separated values.
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.
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. If the text is headed for an API, app, or config file rather than a spreadsheet, convert it with TXT to JSON or TXT to XML instead.
Compare eight current CSV editors for Windows, from free grid tools to large-file software, with clear limits for Excel imports, licensing, and safe CSV saves.
Compare nine current CSV editors for Mac, including free spreadsheet tools, native grid editors, developer extensions, and large-file viewers.
Compare seven current CSV extensions for VS Code, including text-aware editing, spreadsheet grids, data profiling, Python cleanup, and safe previews.