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https://github.com/azad77/pdf-to-word-django

This is a simple Django web application that allows users to upload a PDF file, convert it to a Word document, and download the converted file. The app utilizes the `pdfplumber` library for extracting text from PDF files and the `python-docx` library for creating Word documents.

https://github.com/azad77/pdf-to-word-django

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary

Keywords

django python webapp
Last synced: 5 months ago · JSON representation

Repository

This is a simple Django web application that allows users to upload a PDF file, convert it to a Word document, and download the converted file. The app utilizes the `pdfplumber` library for extracting text from PDF files and the `python-docx` library for creating Word documents.

Basic Info
  • Host: GitHub
  • Owner: Azad77
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 41 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
django python webapp
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

PDF to Word Converter Django App

This is a simple Django web application that allows users to upload a PDF file, convert it to a Word document, and download the converted file. The app utilizes the pdfplumber library for extracting text from PDF files and the python-docx library for creating Word documents.

Features

  • Upload a PDF file.
  • Extracts text from the PDF using pdfplumber.
  • Converts the extracted text into a Word document (.docx format).
  • Allows users to download the converted Word document.

Technologies Used

  • Django - A high-level Python web framework.
  • pdfplumber - A Python library for extracting text from PDF files.
  • python-docx - A Python library for creating and modifying Word documents.

Installation

1. Clone the Repository

Clone this repository to your local machine:

bash git clone https://github.com/yourusername/pdf-to-word-django.git cd pdf-to-word-django 2. Set Up Virtual Environment Create a virtual environment and activate it: bash conda create -n pdf_to_word_env python=3.9 conda activate pdf_to_word_env 3. Install Dependencies Install all the required dependencies:

bash pip install -r requirements.txt Make sure to include requirements.txt in your repository, containing the necessary libraries:

text django==3.2 pdfplumber==0.5.28 python-docx==0.8.11 4. Apply Migrations Run the database migrations:

bash python manage.py makemigrations python manage.py migrate 5. Run the Application Locally Start the development server:

bash python manage.py runserver Visit the app in your browser at http://127.0.0.1:8000/ to test the functionality.

Usage

  1. Navigate to the home page of the app.
  2. Upload a PDF file that you want to convert.
  3. Click the "Convert" button.
  4. Once the conversion is complete, the Word document will be available for download.

Deployment

This application can be deployed on platforms such as Render or Railway. For deployment instructions, please refer to the respective platform's documentation.

Contributing

Feel free to fork this repository and submit pull requests. Contributions are welcome!

Steps for Contributing:

  1. Fork the repository.
  2. Create a new branch for your feature (git checkout -b feature-name).
  3. Commit your changes (git commit -am 'Add feature').
  4. Push to the branch (git push origin feature-name).
  5. Create a new Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Local Testing

Visit the app in your browser at http://127.0.0.1:8000/ to test the functionality.

Owner

  • Name: Dr Azad Rasul
  • Login: Azad77
  • Kind: user
  • Company: Soran University

As a geographer, I use remote sensing and GIS methods and techniques to study LST, urban environment, earth observation and natural disasters.

GitHub Events

Total
  • Watch event: 1
  • Push event: 18
  • Create event: 1
  • Commit comment event: 1
Last Year
  • Watch event: 1
  • Push event: 18
  • Create event: 1
  • Commit comment event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 19
  • Total Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 19
  • Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Azad Rasul a****7@g****m 19

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

.github/workflows/python-package-conda.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v3 composite