How to Convert JPG to EPS Using Python?

Converting image formats is a common task in digital workflows, especially when working with vector graphics. If you need to convert a JPG (raster image) to EPS (Encapsulated PostScript, a vector format), Python provides efficient solutions. In this guide, we'll use the Pillow library, a popular fork of PIL (Python Imaging Library), to achieve this conversion.

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Prerequisites

Before proceeding, ensure you have the following:

• Python installed (version 3.6 or higher recommended).
• The Pillow library installed. If not, install it using:

pip install pillow

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Step-by-Step Conversion Process

1. Import the Required Module

First, import the required module:

from PIL import Image

2. Open the JPG File

Load your JPG image using the method below:

image = Image.open("input.jpg")

3. Convert and Save as EPS

Use the following code to convert and save the image in EPS format:

image.save("output.eps", "EPS")

Note: EPS is a vector format, but converting a raster JPG to EPS won’t magically create vector paths. The output will still be a raster image embedded in an EPS container.

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Complete Python Script

Here’s the full script for JPG to EPS conversion:

from PIL import Image

def convert_jpg_to_eps(input_path, output_path):
    try:
        image = Image.open(input_path)
        image.save(output_path, "EPS")
        print(f"Successfully converted {input_path} to {output_path}")
    except Exception as e:
        print(f"Error: {e}")

# Example usage
convert_jpg_to_eps("input.jpg", "output.eps")

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Alternative Libraries

If you need true vector conversion (tracing raster images to vectors), consider these alternatives:

• Potrace (via

  potrace

  Python bindings).
• OpenCV for preprocessing before vectorization.

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Summary: This guide explained how to convert JPG to EPS in Python using Pillow. While EPS is a vector format, the output remains raster-based unless additional vectorization tools are used.

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