Extract tables from PDF in Python
How to Extract tables from PDF using Python
How to extract tables from PDF using Aspose.PDF for Python for .NET Tool
Do you need to extract tables from PDF? Programmatic modification of PDF documents is an essential part of modern digital workflows. With Python libraries like Aspose.PDF, developers can extract tables 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 tables 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 tables from PDF in Python
To try the code in your environment, you need Aspose.PDF for Python.
- Open the PDF Document.
- Iterate through all pages in the document.
- Create a table absorber for the page.
- Assemble row text output.
Extract tables from PDF with Python
This sample code shows how to extract tables from PDF documents
Input file:
File not added
Output format:
Output file:
import aspose.pdf as ap
from os import path
from config import set_license, initialize_data_dir
def extract_tables_from_pdf(infile):
# Open PDF document
document = ap.Document(infile)
# Iterate through each page in the document
for page in document.pages:
absorber = ap.text.TableAbsorber()
absorber.visit(page)
for table in absorber.table_list:
print("Table")
for row in table.row_list:
row_text = []
for cell in row.cell_list:
cell_text = []
for fragment in cell.text_fragments:
cell_text.append("".join(seg.text for seg in fragment.segments))
row_text.append("|".join(cell_text))
print("|".join(row_text))