PDF Text Analyzer is a Python script that downloads a PDF from a URL, converts it to text, and performs text analysis. The text analysis includes detecting the language of the text, removing stopwords, and counting the frequency of words and phrases. The script supports multiple languages.
To run the script, you need to have Python 3.x installed on your system. You also need to install the following libraries:
- Run the script:
python3 main.py -u "https://www.example.com/document.pdf" -s "example phrase" - Enter the URL of the PDF you want to analyze
- Enter a word or phrase to search for in the text (optional)
- The script will then download the PDF, extract the text, and perform analysis on the text
- The analysis includes word frequency counts, most common words, and a search for a specific word or phrase
- Arabic
- Azerbaijani
- Basque
- Bengali
- Catalan
- Chinese
- Danish
- Dutch
- English
- Finnish
- French
- German
- Greek
- Hebrew
- Hinglish
- Hungarian
- Indonesian
- Italian
- Kazakh
- Nepali
- Norwegian
- Portuguese
- Romanian
- Russian
- Slovene
- Spanish
- Swedish
- Tajik
- Turkish
If you find a bug or issue, you can report it on the issue tracker on GitHub.
If you want to request a new feature, you can open an issue on the issue tracker on GitHub.
If you have any questions or comments, you can contact me for details.
If you want to contribute to this project, you can fork the repository, make your changes, and submit a pull request.
This project is licensed under the Apache License. See the LICENSE