Converting scanned documents or PDF files to text can be a tedious and time-consuming task. Thankfully, Python offers a powerful and efficient solution with the pdftotext
library.
What is pdftotext?
pdftotext
is a Python module that allows you to extract text from PDF files. It uses a technique called Optical Character Recognition (OCR) to convert scanned text into machine-readable text.
Installing pdftotext:
If you are using a MAC make sure you run this command before doing the pip install
brew install pkg-config poppler
pip install pdftotext
Code Example:
from pdftotext import PDF
# Open the PDF file
with open('example.pdf', 'rb') as f:
# Load the PDF document
pdf_document = PDF(f)
# Extract the text content
text = ""
for page in pdf_document:
text += page.strip()
# Write the text content to a text file
with open('output.txt', 'w') as f:
f.write(text)
Explanation:
- The code first imports the
pdftotext
library. - It then opens the PDF file in binary read mode (
rb
). - The
PDF
object is created by passing the file object to thePDF
class. - The text content is extracted by iterating over each page in the PDF document.
- Finally, the text is written to a new text file named
output.txt
.
Additional Features:
pdftotext
supports various options, such as specifying the language, page range, and layout mode.- You can also use the
get_layout()
method to obtain information about the page layout, including tables, figures, and headers.
Benefits of Using pdftotext:
- Easy to use: Requires minimal setup and coding knowledge.
- Fast: Converts PDF files into text quickly.
- Flexible: Offers various options for customization and data extraction.
Conclusion:
Converting PDF files to text using Python with the pdftotext
library is a powerful tool for extracting information from scanned documents or PDF files. Its ease of use, speed, and flexibility make it a valuable asset for various tasks, such as research, document analysis, and accessibility.
Next we will look at getting text from a Word document. Stay Tuned.