Hey fam! I'm pretty excited to give you a quick demo of our PDF driven tool, so you can check it out and try it for yourself.
To start, after you install the tool using the initial command, run it, and you should see a list of available flags. This is a good indication that everything installed correctly.
Next, bring in any PDF file you'd like to work with. For this demo, I'm using a PDF titled 'A Missionary's Guide.' I'll clear out any previous files to keep things clean.
Now, here's the PDF we're working with. Let's dive in and see how to manipulate it. First, I'll run a command to add some tabs, and then we'll use a double-dash flag to extract the text content.
This process will generate a text file containing everything from the PDF. Let's open it up – you'll see that all the PDF content is now right here in plain text. For example, you can see the key phrases that match exactly with those in the original file.
And that's just one of the tool's capabilities! I hope you'll enjoy exploring it. Go ahead and give it a try! Just make sure you have pip installed, as you'll need it to get the package.
📹 Watch the real with author's voice narration in theoriginal video(also available in footer under "Tuto").
Powerful Features
Extract Text
Easily extract all text from your PDF documents
Word Count
Get accurate word counts for your documents
PDF Analysis
Get valuable insights from your PDF documents
Form Data Extraction
Extract form data from PDF documents
See YahPDF in Action
Designed to give you more attention to handling your PDFs.
Credited to Yahya Abulhaj
A DevOps Engineer in the Qatari FinTech industry as of this code.
--word-count Get word count
--unique-words Get unique word count
--common-words N Get N most common words
--include-stopwords Include stopwords in analysis
--extract-text Extract text to file
--word-cloud Generate word cloud
--extract-emails Extract email addresses
--sentiment Analyze sentiment
--json Output results in JSON format
--pages RANGE Specify pages to analyze (e.g., '1-5,7,9-12')
Extracting text: 100%|████████████████████████████████████| 1/1
Text extracted to 'extracted_text.txt'
Designed to give you more attention to handling your PDFs.
Credited to Yahya Abulhaj
A DevOps Engineer in the Qatari FinTech industry as of this code.
--word-count Get word count
--unique-words Get unique word count
--common-words N Get N most common words
--include-stopwords Include stopwords in analysis
--extract-text Extract text to file
--word-cloud Generate word cloud
--extract-emails Extract email addresses
--sentiment Analyze sentiment
--json Output results in JSON format
--pages RANGE Specify pages to analyze (e.g., '1-5,7,9-12')
Analyzing document: 100%|███████████████████████████████| 1/1
Total words: 1234
Unique words: 567
Designed to give you more attention to handling your PDFs.
Credited to Yahya Abulhaj
A DevOps Engineer in the Qatari FinTech industry as of this code.
--word-count Get word count
--unique-words Get unique word count
--common-words N Get N most common words
--include-stopwords Include stopwords in analysis
--extract-text Extract text to file
--word-cloud Generate word cloud
--extract-emails Extract email addresses
--sentiment Analyze sentiment
--json Output results in JSON format
--pages RANGE Specify pages to analyze (e.g., '1-5,7,9-12')
Generating word cloud: 100%|██████████████████████████| 1/1
Word cloud saved to sample_wordcloud.png
Why Choose YahPDF?
Effortless PDF Analysis
Quickly extract valuable insights from your PDF documents without manual effort.
Time-Saving Automation
Automate repetitive tasks and focus on what matters most in your workflow.
Data-Driven Decisions
Make informed decisions based on accurate document analytics and visualizations.
Seamless Integration
Easily integrate YahPDF into your existing command-line workflows and scripts.
Ready to supercharge your PDF workflow?
Install YahPDF now and start processing PDFs like a pro!
pip install yahpdf
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