| Free Online XLS to CSV Converter – Convert Instantly, No Install Needed |
Introduction
Need to convert an XLS file to CSV but do not want to install any software? An online XLS to CSV converter is the fastest solution. In this guide, we review the best free online converters, explain how to use them, and answer all common questions.
Best Free Online XLS to CSV Converters in 2024
1. Our Built-in Online Converter
Our tool converts XLS and XLSX files to CSV instantly. Key features include: no file size limit for registered users, UTF-8 encoding support, multi-sheet handling, and batch conversion.
2. Convertio
Convertio.co supports conversion from XLS/XLSX to CSV with a 100MB free file limit. It stores files for 24 hours and deletes them automatically.
3. CloudConvert
CloudConvert is a professional-grade tool with excellent accuracy. Free users get 25 conversions per day. Supports advanced settings like delimiter choice and encoding.
4. Zamzar
Zamzar is one of the oldest online file conversion services. Simple interface, supports email delivery of converted files. 150MB free limit.
5. Online2PDF
While primarily a PDF tool, Online2PDF supports XLS to CSV conversion as well. Good for quick one-off conversions.
How to Use an Online XLS to CSV Converter (Step-by-Step)
- Open the online converter tool in your browser.
- Click ‘Choose File’ or drag and drop your XLS/XLSX file into the upload area.
- Wait for the file to upload (progress bar will show).
- Select CSV as the output format if not already selected.
- Click ‘Convert’ or ‘Start Conversion’.
- Wait for conversion to complete (usually 5-30 seconds depending on file size).
- Click ‘Download’ to save your CSV file.
Total time: Under 1 minute for most files.
Online vs Desktop Conversion: Which Is Better?
| Factor | Online Tool | Desktop (Excel/Python) |
| Setup Time | 0 minutes | 5-30 minutes |
| Cost | Free (usually) | Paid for Excel |
| File Size Limit | 10-200MB typically | No limit |
| Privacy | Files uploaded to server | Files stay local |
| Speed | Fast for small files | Fast for large files |
| Automation | Manual only | Fully automatable |
Is It Safe to Use Online XLS to CSV Converters?
This is a common concern. Here is what you need to know:
- Reputable services use HTTPS encryption for file transfers.
- Most delete your files within 24 hours automatically.
- Do NOT upload sensitive data (financial records, personal information) to any online converter.
- For sensitive files, use Microsoft Excel or Python locally.
- Check the tool’s privacy policy before uploading business-critical data.
CSV Encoding Options Explained
When converting XLS to CSV online, you may see encoding options. Here is what they mean:
- UTF-8: Best for international characters. Use for most modern applications.
- UTF-8-BOM: UTF-8 with Byte Order Mark. Use when CSV will be opened in older Excel versions.
- ISO-8859-1 (Latin-1): Use for Western European languages in legacy systems.
- ASCII: Use only if your data contains only basic English characters.
Frequently Asked Questions (FAQs)
What is the maximum file size for free online XLS to CSV conversion?
It varies by tool. Most free tools allow 10-100MB. Convertio allows 100MB free, CloudConvert 1GB (with account), and Zamzar allows 150MB. For larger files, use Python or Excel.
Can I convert XLSX to CSV online as well?
Yes! All online XLS to CSV converters also support XLSX (the modern Excel format). Simply upload your XLSX file the same way.
Do online converters support multi-sheet XLS files?
Most basic tools only convert the first sheet. Advanced tools like CloudConvert let you choose which sheet to convert. Our tool offers multi-sheet batch conversion.
How long does online XLS to CSV conversion take?
Small files (under 5MB) typically convert in 5-15 seconds. Medium files (5-50MB) take 15-60 seconds. Large files may take 2-5 minutes depending on the tool and server load.
Internal Linking Suggestions
- Convert XLS to CSV – Full Guide – /convert-xls-to-csv
- Convert CSV to XLS Online – /online-xls-to-csv (reverse conversion)
- Convert XLS to CSV using Python – /xls-to-csv-python
Convert XLS to CSV Using Python – Complete Developer Guide (2024)
Primary Keyword: convert xls to csv python | Volume: 40 | Difficulty: 20 | Cluster: 4 (Pillar)
| Meta Title | Convert XLS to CSV with Python – pandas, openpyxl & xlrd Guide |
| Meta Description | Learn how to convert XLS to CSV using Python with pandas, openpyxl, and xlrd. Includes code for single files, batch conversion, formatting, and automation. |
Introduction
Python is the most powerful tool for converting XLS files to CSV format, especially when you need automation, batch processing, or custom logic. In this complete guide, you will learn multiple Python approaches from simple one-liners to production-grade scripts.
Prerequisites
Install Required Libraries
pip install pandas openpyxl xlrd
Library breakdown:
- pandas: The main data manipulation library for reading/writing XLS and CSV
- openpyxl: Required for reading/writing .xlsx (Excel 2007+) files
- xlrd: Required for reading older .xls (Excel 97-2003) files
Method 1: Simple XLS to CSV with pandas
This is the quickest method for most use cases:
import pandas as pd
def xls_to_csv(input_path, output_path):
“””Convert a single XLS/XLSX file to CSV”””
df = pd.read_excel(input_path, sheet_name=0)
df.to_csv(output_path, index=False, encoding=’utf-8′)
print(f’Converted: {input_path} -> {output_path}’)
# Usage
xls_to_csv(‘data.xlsx’, ‘output.csv’)
Method 2: Convert All Sheets to Separate CSV Files
import pandas as pd
import os
def convert_all_sheets(xls_path, output_dir=’.’):
“””Convert each sheet in XLS to a separate CSV file”””
os.makedirs(output_dir, exist_ok=True)
xls = pd.ExcelFile(xls_path)
base_name = os.path.splitext(os.path.basename(xls_path))[0]
for sheet_name in xls.sheet_names:
df = pd.read_excel(xls, sheet_name=sheet_name)
output_file = os.path.join(output_dir, f'{base_name}_{sheet_name}.csv’)
df.to_csv(output_file, index=False, encoding=’utf-8′)
print(f’Saved: {output_file} ({len(df)} rows)’)
convert_all_sheets(‘workbook.xlsx’, ‘output_folder’)
Method 3: Batch Convert Multiple XLS Files
import pandas as pd
import glob
import os
def batch_xls_to_csv(input_folder, output_folder):
“””Convert all XLS/XLSX files in a folder to CSV”””
os.makedirs(output_folder, exist_ok=True)
xls_files = glob.glob(os.path.join(input_folder, ‘*.xls*’))
if not xls_files:
print(‘No XLS files found.’)
return
for xls_file in xls_files:
base = os.path.splitext(os.path.basename(xls_file))[0]
output_path = os.path.join(output_folder, f'{base}.csv’)
df = pd.read_excel(xls_file)
df.to_csv(output_path, index=False)
print(f’Converted: {base}.csv’)
print(f’Done! Converted {len(xls_files)} files.’)
batch_xls_to_csv(‘excel_files/’, ‘csv_output/’)
Method 4: Handle Large XLS Files with Chunking
For very large Excel files (100MB+), load data in chunks to avoid memory errors:
import pandas as pd
def convert_large_xls(input_path, output_path, chunksize=10000):
“””Convert large XLS to CSV in chunks”””
first_chunk = True
xls = pd.ExcelFile(input_path)
df = pd.read_excel(xls, sheet_name=0)
total_rows = len(df)
for start in range(0, total_rows, chunksize):
chunk = df.iloc[start:start + chunksize]
mode = ‘w’ if first_chunk else ‘a’
header = first_chunk
chunk.to_csv(output_path, index=False, mode=mode, header=header)
first_chunk = False
print(f’Processed rows {start} to {min(start+chunksize, total_rows)}’)
print(f’Complete! Saved to {output_path}’)
Handling Common Python Conversion Issues
Fix 1: Preserve Date Formatting
df = pd.read_excel(‘file.xlsx’, parse_dates=[‘date_column’])
df[‘date_column’] = df[‘date_column’].dt.strftime(‘%Y-%m-%d’)
Fix 2: Handle Mixed Data Types
df = pd.read_excel(‘file.xlsx’, dtype=str) # Read everything as string
Fix 3: Skip Header Rows
df = pd.read_excel(‘file.xlsx’, header=2) # Row 3 (0-indexed) is the header
Frequently Asked Questions (FAQs)
Which Python library is best for XLS to CSV conversion?
pandas is the best overall choice. It handles both .xls and .xlsx formats, supports large files, and offers extensive data manipulation options. Combine it with openpyxl for .xlsx and xlrd for old .xls files.
How do I convert XLS to CSV in Python without pandas?
You can use the csv module combined with openpyxl: open the workbook with openpyxl.load_workbook(), iterate rows with ws.iter_rows(), and write each row to a CSV file with csv.writer(). However, pandas is much simpler for most tasks.
Why am I getting a ‘XLRDError: Excel xlsx file; not supported’ error?
This happens because xlrd version 2.0+ dropped .xlsx support. Install openpyxl instead: pip install openpyxl. Then in pd.read_excel(), the engine will automatically switch to openpyxl for .xlsx files.
How do I convert XLS to CSV on a server without Excel installed?
Python with pandas and openpyxl works perfectly on any server without Excel. It runs on Linux, macOS, and Windows without any Microsoft Office dependency.
Internal Linking Suggestions
- XLS to CSV Java Guide – /xls-to-csv-java
- XLS to CSV PHP Guide – /xls-to-csv-php
- XLS to CSV PowerShell – /xls-to-csv-powershell
- Bulk XLS to CSV Conversion – /bulk-xls-to-csv