- Python Text Processing - Home
- Python Text Processing - Introduction
- Python Text Processing - Environment
- Python Text Processing - String Immutability
- Python Text Processing - Sorting Lines
- Python Text Processing - Counting Token in Paragraphs
- Python Text Processing - Binary ASCII Conversion
- Python Text Processing - Strings as Files
- Python Text Processing - Backward File Reading
- Python Text Processing - Filter Duplicate Words
- Python Text Processing - Extract Emails from Text
- Python Text Processing - Extract URL from Text
- Python Text Processing - Pretty Print
- Python Text Processing - State Machine
- Python Text Processing - Capitalize and Translate
- Python Text Processing - Tokenization
- Python Text Processing - Remove Stopwords
- Python Text Processing - Synonyms and Antonyms
- Python Text Processing - Translation
- Python Text Processing - Word Replacement
- Python Text Processing - Spelling Check
- Python Text Processing - WordNet Interface
- Python Text Processing - Corpora Access
- Python Text Processing - Tagging Words
- Python Text Processing - Chunks and Chinks
- Python Text Processing - Chunk Classification
- Python Text Processing - Classification
- Python Text Processing - Bigrams
- Python Text Processing - Process PDF
- Python Text Processing - Process Word Document
- Python Text Processing - Reading RSS feed
- Python Text Processing - Sentiment Analysis
- Python Text Processing - Search and Match
- Python Text Processing - Text Munging
- Python Text Processing - Text wrapping
- Python Text Processing - Frequency Distribution
- Python Text Processing - Summarization
- Python Text Processing - Stemming Algorithms
- Python Text Processing - Constrained Search
Python Text Processing Useful Resources
Python Text Processing - Process PDF
Python can read PDF files and print out the content after extracting the text from it. For that we have to first install the required module which is PyPDF2. Below is the command to install the module. You should have pip already installed in your python environment.
pip install pypdf2
Example - Processing PDF
On successful installation of this module we can read PDF files using the methods available in the module.
main.py
import PyPDF2 pdfName = 'Tutorialspoint.pdf' read_pdf = PyPDF2.PdfFileReader(pdfName) page = read_pdf.getPage(0) page_content = page.extractText() print(page_content)
Output
When we run the above program, we get the following output −
Tutorials Point originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms. The journey commenced with a single tutorial on HTML in 2006 and elated by the response it generated, we worked our way to adding fresh tutorials to our repository which now proudly flaunts a wealth of tutorials and allied articles on topics ranging from programming languages to web designing to academics and much more.
Example - Reading Multiple Pages
To read a pdf with multiple pages and print each of the page with a page number we use the a loop with getPageNumber() function. In the below example we the PDF file which has two pages. The contents are printed under two separate page headings.
import PyPDF2
pdfName = 'Tutorialspoint2.pdf'
read_pdf = PyPDF2.PdfFileReader(pdfName)
for i in xrange(read_pdf.getNumPages()):
page = read_pdf.getPage(i)
print('Page No - ' + str(1+read_pdf.getPageNumber(page)))
page_content = page.extractText()
print(page_content)
Output
When we run the above program, we get the following output −
Page No - 1 Tutorials Point originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms. Page No - 2 The journey commenced with a single tutorial on HTML in 2006 and elated by the response it generated, we worked our way to adding fresh tutorials to our repository which now proudly flaunts a wealth of tutorials and allied articles on topics ranging from p rogramming languages to web designing to academics and much more.
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