File Conversion Guide
The Best XLS to CSV Converter — Free Tools & Methods (2025)
We tested every major method to convert XLS and XLSX files to CSV — online tools, Excel, Python, PowerShell, and more. Here’s exactly which one to use, and when.
The Fastest Free XLS to CSV Converter Online
If you just need to convert an Excel file to CSV right now — no software, no signup — our free browser-based converter handles it in seconds. It works with both .xls (Excel 97–2003) and .xlsx (Excel 2007+) formats, supports multi-sheet workbooks, and lets you pick your delimiter.
Convert XLS to CSV — Free & Instant
No signup. No upload to servers. Works in your browser — your data stays private.
Open the Free Converter →Supports .xls · .xlsx · Custom delimiter · Multi-sheet · 100% free
Unlike most online converters, your file is never uploaded anywhere — conversion happens entirely in your browser using JavaScript. Your data stays on your device.
7 Methods to Convert XLS to CSV — Compared
Not every situation is the same. Here’s a comparison of all major methods so you can pick the right one for your use case.
| Method | Speed | Free? | No signup? | Multi-sheet? | Best for |
|---|---|---|---|---|---|
| JSONPathFinder tool BEST | Instant | ✓ | ✓ | ✓ | Everyone |
| Microsoft Excel | Fast | ✗ | ✓ | ✗ | Office users |
| Google Sheets | Medium | ✓ | ✗ | ✗ | Google users |
| Python (pandas) | Fast | ✓ | ✓ | ✓ | Developers |
| PowerShell | Medium | ✓ | ✓ | ✗ | Windows sysadmins |
| LibreOffice | Slow | ✓ | ✓ | ✗ | Offline Linux |
| Zamzar / CloudConvert | Slow | ✗ | ✗ | ✗ | Occasional use |
For most users, the online tool is the clear winner — instant, free, and private. Let’s walk through each method in detail.
Step-by-Step: How to Convert XLS to CSV Online
Using the JSONPathFinder converter takes under 30 seconds. Here’s exactly how:
- Go to the converter: Visit jsonpathfinder.site/convert-xls-to-csv — no account needed.
- Upload your file: Drag and drop your .xls or .xlsx file onto the upload area, or click to browse your computer.
- Select your sheet: If your Excel file has multiple sheets, a dropdown appears. Pick the sheet you want to export.
- Choose a delimiter: The default is comma (,). For European locales or special use cases, switch to semicolon (;) or tab.
- Click Convert: The conversion happens instantly in your browser.
- Download your CSV: Click the download button to save your clean CSV file to your device.
Each sheet must be converted separately. To batch-convert all sheets at once, use the Python method below — it loops through every sheet automatically.
How to Convert XLS to CSV in Microsoft Excel
If you already have Excel installed and prefer not to use an online tool, here’s the built-in method:
- Open your .xls or .xlsx file in Microsoft Excel.
- Click File in the top menu bar.
- Select Save As (or “Export” on newer versions).
- In the file format dropdown, choose “CSV (Comma delimited) (.csv)”.
- Click Save. Excel will warn you that formatting will be lost — click OK.
If your workbook has multiple sheets, you must repeat this process for each one. For multi-sheet exports, use the online tool or Python instead.
Using Google Sheets as a free alternative
No Excel license? Upload your XLS file to Google Drive, open it in Google Sheets, then go to File → Download → CSV (.csv). It’s free but requires a Google account and only exports the current sheet.
Python XLS to CSV Converter (Developer Method)
For automated workflows, batch processing, or when you need to convert XLS to CSV programmatically, Python with the pandas library is the most powerful option.
Basic conversion (single sheet)
import pandas as pd
df = pd.read_excel('data.xlsx', sheet_name=0)
df.to_csv('output.csv', index=False, encoding='utf-8')
print(f"Done! {len(df)} rows exported.")
Convert all sheets to separate CSV files
import pandas as pd
xls = pd.ExcelFile('data.xlsx')
for sheet in xls.sheet_names:
df = pd.read_excel(xls, sheet_name=sheet)
filename = f"{sheet.replace(' ', '_')}.csv"
df.to_csv(filename, index=False)
print(f"Saved: {filename}")
Batch convert a folder of XLS files
import pandas as pd
from pathlib import Path
folder = Path('./excel-files')
for xls_file in folder.glob('*.xls*'):
df = pd.read_excel(xls_file)
csv_path = xls_file.with_suffix('.csv')
df.to_csv(csv_path, index=False)
print(f"Converted: {xls_file.name} → {csv_path.name}")
Install pandas with: pip install pandas openpyxl xlrd
What You Lose When Converting XLS to CSV
CSV is a plain-text format — it only stores raw cell values. Before converting, be aware of what gets removed:
- Formulas — only the calculated values are saved, not the formula itself
- Cell formatting — colors, bold, font size, borders all disappear
- Charts and images — not supported in CSV
- Multiple sheets — CSV holds only one sheet per file
- Merged cells — unmerged in CSV with value in first cell only
- Data validation and comments — stripped out
All actual cell values — numbers, dates, text, currencies — are fully kept. CSV is perfect for importing data into databases, APIs, or analytics tools that don’t need Excel formatting.
Frequently Asked Questions
Related Guides
Going deeper? These cluster posts cover every aspect of XLS and CSV conversion: