How to Get PIL Working in Visual Studio Code: A 2026 Guide

Python Imaging Library (PIL), now maintained as the Pillow library, is essential for many image processing tasks. Many developers encounter issues when trying to integrate PIL with Visual Studio Code, especially with the error ModuleNotFoundError: No module named 'PIL'. This guide will walk you through the steps to successfully set up Pillow in Visual Studio Code and troubleshoot common issues.

Key Takeaways

• Understand why PIL is important for image processing in Python projects.
• Learn how to correctly install and configure Pillow in Visual Studio Code.
• Identify and resolve the common 'No module named PIL' error.
• Discover tools and extensions in VSCode to enhance Python development.

Visual Studio Code, with its robust extensions and customization options, is a popular choice for Python developers. However, integrating libraries like Pillow can sometimes be challenging due to environment configuration issues. This tutorial provides a comprehensive walkthrough to ensure your setup is smooth and error-free.

Prerequisites

• Python 3.13.4 installed on your system.
• Visual Studio Code installed, ideally the latest version available in 2026.
• Basic understanding of Python and package management with pip.

Step 1: Verify Python Installation

First, ensure that Python is installed correctly on your system. Open your terminal or command prompt and type:

python --version

You should see output similar to:

Python 3.13.4

If Python is not installed, download and install it from the official Python website.

Step 2: Install Pillow Using pip

Pillow is the modern version of PIL and is installed via pip. In your terminal, run:

pip install Pillow

This command downloads and installs the Pillow library, making it available for use in your projects.

Step 3: Configure Visual Studio Code

Open Visual Studio Code and ensure that the Python extension is installed. This extension provides Python IntelliSense, linting, and debugging capabilities.

Navigate to the Extensions view by clicking the Extensions icon in the Activity Bar or by pressing Ctrl+Shift+X. Search for 'Python' and install the extension published by Microsoft, if not already installed.

After installing the extension, open the Command Palette (Ctrl+Shift+P), type 'Python: Select Interpreter', and choose the Python 3.13.4 interpreter.

Step 4: Verify Pillow Installation in VSCode

Create a new Python file (e.g., test_pillow.py) and add the following code:

from PIL import Image

# Open an image file
with Image.open('example.jpg') as img:
    # Display image properties
    print(img.format, img.size, img.mode)

Run the script using the VSCode terminal. If Pillow is installed correctly, you should see the image format, size, and mode printed to the console.

Common Errors/Troubleshooting

Here are some common issues and their solutions:

• ModuleNotFoundError: Ensure that your terminal in VSCode is using the correct Python interpreter. Use the Command Palette to select the interpreter.
• Installation Issues: If pip install Pillow fails, check your internet connection or try upgrading pip with pip install --upgrade pip.
• Permission Errors: On some systems, you may need to use sudo pip install Pillow to avoid permission issues.

Frequently Asked Questions

Why do I get 'No module named PIL' error?

This error occurs when Pillow is not installed in the Python environment you're using. Ensure you have selected the correct Python interpreter in VSCode.

How can I ensure VSCode uses the correct Python environment?

Use the Command Palette in VSCode to select the Python interpreter that matches your project's environment.

How do I update Pillow to the latest version?

Run pip install --upgrade Pillow in your terminal to update Pillow to the latest version.

Frequently Asked Questions

Why do I get 'No module named PIL' error?

This error occurs when Pillow is not installed in the Python environment you're using. Ensure you have selected the correct Python interpreter in VSCode.

How can I ensure VSCode uses the correct Python environment?

Use the Command Palette in VSCode to select the Python interpreter that matches your project's environment.

How do I update Pillow to the latest version?

Run pip install --upgrade Pillow in your terminal to update Pillow to the latest version.