Extract vector data from PDF in Python
How to Extract vector data from PDF using Python
How to extract vector data from PDF using Aspose.PDF for Python for .NET Tool
Do you need to extract vector data from PDF? Programmatic modification of PDF documents is an essential part of modern digital workflows. With Python libraries like Aspose.PDF, developers can extract vector data from PDF. These libraries are stand-alone solutions that don’t rely on other software and are ready for commercial use. They cover all possible needs of professional Python developers.
- Extract text from PDF
- Extract Images from PDF
- Extract Fonts from PDF
- Extract Data from the Form
- Extract Text From Stamps
- Extract Data from Table
In order to extract vector data from PDF file, we’ll use Aspose.PDF for .NET API which is a feature-rich, powerful and easy to use document manipulation API for python-net platform. Open NuGet package manager, search for Aspose.PDF and install. You may also use the following command from the Package Manager Console.
Console
pip install aspose-pdfExtract vector data from PDF in Python
To try the code in your environment, you need Aspose.PDF for Python.
- Open the PDF Document.
- Create a graphics absorber.
- Visit the target page.
- Retrieve extracted graphic elements.
Extract vector data from PDF with Python
This sample code shows how to extract vector data from PDF documents
Input file:
File not added
Output format:
Output file:
import aspose.pdf as apdf
from os import path
path_infile = path.join(self.data_dir, infile)
path_outfile = path.join(self.data_dir, outfile)
document = apdf.Document(path_infile)
# Create TextAbsorber object to extract text
textAbsorber = apdf.text.TextAbsorber()
document.pages.accept(textAbsorber)
extractedText = textAbsorber.text
with open(path_outfile, 'w') as f:
f.write(extractedText)