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How to Insert image into Excel Using Python

Curtis Chau
Curtis Chau
Updated: August 1, 2026

For data analysis and reporting in modern applications, Microsoft Excel remains one of the most widely used tools. Python, with its robust ecosystem of libraries, offers a powerful way to automate and enhance the functionality of Microsoft Excel. One such library is IronXL, which allows users to work with Excel files in an intuitive and efficient manner. This article will guide you through the process of inserting images into Excel using IronXL in Python.

How to Insert an Image into Excel Using Python

  1. Install the IronXL Python package.
  2. Create or Open an Excel Workbook.
  3. Select the Worksheet where the image will be inserted.
  4. Insert the Image at a specified location.
  5. Save the Workbook.

What is IronXL?

IronXL is a .NET library that simplifies the process of reading, writing, and manipulating Excel files. It is particularly advantageous for developers who want to work with Excel documents without requiring Microsoft Office installed on their machine. IronXL provides a straightforward API to handle various Excel functionalities, including creating spreadsheets, formatting cells, and inserting images. In Python, we can make use of the IronXL library through the IronXL for Python package. You can find the complete API documentation here.

Prerequisites

Before we dive into the code, ensure that you have the following prerequisites:

  1. Python Installed: Make sure you have Python installed on your machine. You can download it from the official Python website.
  2. IronXL Installed: You need to install the IronXL package. You can do this using pip.
  3. Image File: Have an image file ready that you want to insert into your Excel sheet. Supported formats typically include JPEG, PNG, and BMP.

Steps for Python Insert Image to Excel File

The process of inserting an image into an Excel spreadsheet involves the following basic steps:

Step 1: Install the IronXL for Python Package.

Make sure you have created a Python file with a .py extension. Now install the IronXL package using pip:

pip install IronXL
SHELL

Step 2: Create or Open an Excel Workbook.

Create an Excel file or open an existing Excel file using IronXL.

import ironxl

# To create a new Excel workbook
workbook = ironxl.Workbook()

# Or to open an existing Excel workbook
workbook = ironxl.Workbook('existing_file.xlsx')
Python

Step 3: Select the Worksheet where the image will be inserted.

# Create a new worksheet
worksheet = workbook.add_worksheet('Sheet1')

# Or access an existing worksheet
worksheet = workbook.get_worksheet('Sheet1')

# Alternatively, use the default worksheet
worksheet = workbook.DefaultWorkSheet
Python

Step 4: Insert the Image at a Specified Location.

# Specify the path to your image file
image_path = "ironXL.jpg"
# Specify the cell where you want to insert the image
cell_location = 'B2'
# Insert the image into the specified cell
worksheet.insert_image(cell_location, image_path)
Python

Step 5: Save the Workbook.

# Save the workbook with the desired filename
workbook.save('AwesomeIronXL.xlsx')
Python

Full Code Example

import ironxl

# Step 1: Create a new Excel workbook or open an existing one
workbook = ironxl.Workbook()  # For a new Excel file
# workbook = ironxl.Workbook('existing_file.xlsx')  # For an existing workbook

# Step 2: Select a worksheet from a list of worksheets or create a new one
# worksheet = workbook.add_worksheet('Sheet1')  # Create a new worksheet
# worksheet = workbook.get_worksheet('Sheet1')  # Access an existing worksheet
worksheet = workbook.DefaultWorkSheet

# Step 3: Insert an image
image_path = "ironXL.jpg"  # Path to your image file
cell_location = 'B2'  # Specify the Excel cell for image insertion
worksheet.insert_image(cell_location, image_path)  # Insert the image

# Step 4: Save the workbook
workbook.save('AwesomeIronXL.xlsx')
Python

Explanation of the Code

  1. Creating/Opening a Workbook: You can either create a new workbook or open an existing one using the ironxl.Workbook() function. For an existing Excel file, ensure you provide the correct file path to the workbook.
  2. Selecting a Worksheet: Use add_worksheet() to add a new worksheet or get_worksheet() to access an existing worksheet.
  3. Inserting the Image: The insert_image() method is used to insert the image. You need to specify the cell and image file path/attribute where the image will be inserted.
  4. Saving the Workbook: Use the save() method to save the workbook with the desired filename.

Additional Considerations

Image Size and Formatting

When inserting images, consider the size and aspect ratio to fit well within the cells. Resize your image beforehand or use additional methods to adjust its dimensions post-insertion.

Error Handling

Implement error handling to manage scenarios such as file not found, unsupported file formats, or issues with the Excel file itself. Using try-except blocks helps manage exceptions gracefully.

Dependencies and Limitations

While IronXL is powerful, be aware of its dependencies and licensing. Ensure compliance with the licensing terms and be aware of any limitations in the free version.

License (Trial Available)

Users need to include a trial license to use IronXL. Include the license in the code as below:

import ironxl
ironxl.License.LicenseKey = "Your License"
Python

You can get complete information on the license here.

Conclusion

Inserting images into Excel using Python and IronXL enhances the visual appeal of your spreadsheets, making them more engaging for reporting, presentations, or data visualization. With the outlined steps, automate image insertion to save time and improve data handling efficiency.

As you grow acquainted with IronXL, explore additional functionalities such as formatting cells, creating charts, and managing complex datasets to further enhance your Excel automation capabilities.

Curtis Chau
Technical Writer

Curtis Chau holds a Bachelor’s degree in Computer Science (Carleton University) and specializes in front-end development with expertise in Node.js, TypeScript, JavaScript, and React. Passionate about crafting intuitive and aesthetically pleasing user interfaces, Curtis enjoys working with modern frameworks and creating well-structured, visually appealing manuals.

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