Free Python API to Extract Text, Tables, Images from DOCX Files
Open Source Python Library to Extract Text, Images, Tables, Headers and Footers or Any Other Specific Parts of Word DOCX Documents inside Python Apps.
What is Docx2Python Library?
In today’s digital age, efficiently processing and extracting data from documents is more important than ever. Software Developers often encounter Microsoft Word DOCX files that hold valuable information, yet parsing them can be challenging. Docx2Python is a Python library that allows software developers to extract text, tables, images, and other content from .docx files with ease. Unlike other document processing libraries, Docx2Python is specifically designed to provide a clean, structured output that is easy to work with. This makes it an excellent choice for developers who need to parse and analyze Word documents programmatically. The library is open-source, meaning it is freely available for anyone to use, modify, and distribute.
Docx2Python is a powerful tool designed to read DOCX files and convert their contents into nested Python data structures. It is a robust and flexible open source library that simplifies the extraction of structured data from DOCX files. The library supports comprehensive parsing, automated report generations, advanced document processing, structured data output, preservation of layout, and so on. Software developers can convert DOCX content into other formats (like HTML or Markdown) while preserving the intended appearance. By embracing open source solutions like Docx2Python, software developers can reduce manual workloads, foster innovation, and create applications that truly transform the way we interact with and analyze textual data.
Getting Started with Docx2Python
Docx2Python is hosted on PyPI, so It is very simple to install it. It can be installed with pip using the following command.
Install Docx2Python via pip command
pip install docx2python
It can also be installed via easy_install but is not recommended.
Extracting Text for Word Documents
The open source Docx2Python library makes it easy for software developers to extract plain text from a Word document inside Python applications. It comprehensively parses every element within a DOCX file. Whether you need to extract plain text, detailed tables, or the nuanced structure of headers and footers, this library handles it all. Its multi-level parsing approach ensures that even nested elements are accurately captured in the output data structure.
How to Extract Text from Word DOCX using Python Code?
from docx2python import docx2python
# Parse a DOCX file with multiple sections and elements
result = docx2python('sample.docx')
# Iterate over the body sections and print each paragraph
for section in result.body:
for paragraph in section:
print("Paragraph:", paragraph)
Table & Images Extraction from Word File
One of the most powerful features of Docx2Python is its ability to extract tables from Word .docx files with ease. The library handles both simple and nested tables, making it ideal for processing complex documents. Moreover, software developers can use the library to extract images embedded in Microsoft Word .docx files, which can be useful for applications that require image processing or analysis.
How to Extract Tables from Word DOCX Files via Python API?
from docx2python import docx2python
# Extract tables from a Word document
docx_content = docx2python("example.docx")
# Access the extracted tables
tables = docx_content.tables
# Print the tables
for i, table in enumerate(tables):
print(f"Table {i + 1}:")
for row in table:
print(row)
Extract specific Section of Documents via Python
Docx2Python provides options to customize the output format, allowing developers to tailor the results to their specific needs. The open source Docx2Python library has provide complete functionality for extract a particular part or section of word DOCX documents inside Python applications. Developers can choose to extract only specific sections of a document or format the output in a particular way with just a couple of lines of code.
How to Extract a Particular Part of a Word Document via Python Library?
from docx2python import docx2python
# Extract specific sections of a Word document
docx_content = docx2python("example.docx", html=True)
# Access the HTML-formatted output
html_content = docx_content.html
# Print the HTML content
print("HTML Output:", html_content)
Preserve Layout While Converting DOCX
Maintaining the original layout of a document is essential, especially when the spatial relationships between elements matter. Docx2Python retains this layout by converting the document into a structured format that mirrors its original design. This makes it easier to convert DOCX content into other formats like HTML, PDF or Markdown while preserving the intended appearance.
How to Preserve Document Layout via Python API?
# Parse a DOCX file while preserving its layout
result = docx2python('layout_document.docx')
# Display the entire structured layout of the document
print("Document Layout:", result.body)