Last modified: Feb 10, 2026 By Alexander Williams
Python Zip Converter: Create & Manage Archives
Need to bundle files in Python? A Python to ZIP converter is your tool. It compresses files into a single archive. This saves space and organizes data. Python's built-in zipfile module makes this easy. You do not need external libraries. This guide shows you how.
Why Use Python for ZIP Files?
Python automates file compression. This is useful for backups, data transfer, and software distribution. The zipfile module is powerful and simple. It handles creation, reading, and extraction of archives. You can control compression levels and file selection.
Automation is the key benefit. Scripts can zip logs, reports, or user data on a schedule. This reduces manual work and errors.
Getting Started: The zipfile Module
First, import the module. It comes with Python. No installation is needed.
import zipfile
import os
The os module helps with file paths. Now you are ready to create a ZIP file.
Creating a ZIP Archive from Files
Use the ZipFile class. Open it in write mode ('w'). Then add files with the write() method.
# Create a new ZIP file and add two text files
with zipfile.ZipFile('archive.zip', 'w') as zipf:
zipf.write('document.txt')
zipf.write('image.jpg')
print("ZIP file 'archive.zip' created successfully.")
ZIP file 'archive.zip' created successfully.
This code creates 'archive.zip'. It contains the two specified files. The with statement ensures the file is closed properly.
Compressing an Entire Directory
To zip a whole folder, you need to walk through its files. Use os.walk(). Add each file to the archive. This is a common task for backups.
def zip_directory(directory_path, zip_name):
"""Zips an entire directory."""
with zipfile.ZipFile(zip_name, 'w') as zipf:
for root, dirs, files in os.walk(directory_path):
for file in files:
file_path = os.path.join(root, file)
# Add file to zip, preserving folder structure
arcname = os.path.relpath(file_path, directory_path)
zipf.write(file_path, arcname)
print(f"Directory '{directory_path}' zipped into '{zip_name}'.")
# Example usage
zip_directory('./my_data', 'backup.zip')
Directory './my_data' zipped into 'backup.zip'.
The arcname argument preserves the internal folder structure. For more on this, see our guide on Python Zip Directory: Compress Files Easily.
Reading and Extracting ZIP Files
Open a ZIP file in read mode ('r'). You can list contents or extract files. Use the extractall() method for full extraction.
# Open and inspect a ZIP file
with zipfile.ZipFile('archive.zip', 'r') as zipf:
# List all files in the archive
file_list = zipf.namelist()
print("Files in archive:", file_list)
# Extract all files to a folder
zipf.extractall('extracted_files')
print("Files extracted to 'extracted_files/'.")
Files in archive: ['document.txt', 'image.jpg']
Files extracted to 'extracted_files/'.
You can also extract a single file with extract(). This is detailed in our article Python Zip Files: Create, Read, Extract Archives.
Advanced: Using Compression Levels
The zipfile module supports ZIP_DEFLATED compression. This reduces file size. You must specify it when creating the archive. Use the compression parameter.
# Create a ZIP with DEFLATE compression for smaller size
with zipfile.ZipFile('compressed.zip', 'w', zipfile.ZIP_DEFLATED) as zipf:
zipf.write('large_report.pdf')
print("Created a compressed ZIP file.")
For no compression, use zipfile.ZIP_STORED. Compression is slower but saves disk space.
Common Use Cases and Tips
Backup Scripts: Automate daily backups of project folders.
Data Preparation: Compress multiple data files before sending them.
Log Archiving: Zip old log files to save server space.
Always check if files exist before zipping. Handle exceptions with try-except blocks. This prevents crashes.
Remember, the built-in Python Zip Function Guide: Iterate in Parallel is different. It combines sequences, not files.
Conclusion
Python is an excellent tool for creating and managing ZIP archives. The zipfile module provides all necessary functions. You learned to create archives from files and folders. You also learned to extract and compress data.
Start automating your file tasks today. Use the examples above in your projects. They will save you time and organize your data efficiently.