https://github.com/alextkdev/pdf-to-word-conversion
A parser that will retype text from a PDF into an MS Word document with the specified specifications
https://github.com/alextkdev/pdf-to-word-conversion
google-cloud-vision-api pdf-to-text pillow-library pymypdf python-dox tesseract-ocr
Last synced: over 1 year ago
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A parser that will retype text from a PDF into an MS Word document with the specified specifications
- Host: GitHub
- URL: https://github.com/alextkdev/pdf-to-word-conversion
- Owner: AlexTkDev
- License: mit
- Created: 2024-08-09T10:51:21.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-13T17:26:09.000Z (over 1 year ago)
- Last Synced: 2025-01-14T01:46:41.134Z (over 1 year ago)
- Topics: google-cloud-vision-api, pdf-to-text, pillow-library, pymypdf, python-dox, tesseract-ocr
- Language: Python
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## PDF-to-Word-Conversion
### Description
The **PDF-to-Word-Conversion** project is designed to convert pages of a PDF document into separate
pages of a Microsoft
Word document while adhering to specific technical requirements. The project employs two main
processing strategies:
using the Google Cloud Vision API for text extraction and local processing with PyMuPDF and
Tesseract.
### Tech Stack
- **Google Cloud Vision API**: For extracting text from images.
- **PyMuPDF**: For working with PDF documents.
- **Tesseract OCR**: For recognizing text in images.
- **pdf2image**: For converting PDF pages into images.
- **Pillow**: For image processing.
- **python-docx**: For creating and editing Word documents.
- **tqdm**: For displaying progress.
- **Flake8**: For linting.
- **Pytest**: For tests.
### Installation
1. **Clone the repository:**
```bash
git clone https://github.com/AlexTkDev/PDF-to-Word-Conversion.git
cd PDF-to-Word-Conversion
```
2. **Create and activate a virtual environment:**
```bash
python -m venv venv
source venv/bin/activate # For Windows use `venv\Scripts\activate`
```
3. **Install dependencies:**
```bash
pip install -r requirements.txt
```
**Note:** Ensure that **Google Cloud SDK** and **Tesseract OCR** are installed and configured.
4. **Set up Google Cloud Vision API:**
- Obtain a Google Cloud credentials file (JSON format).
- Set the path to this file in the environment variable `GOOGLE_APPLICATION_CREDENTIALS`.
5. **Setting up Tesseract OCR:**
- **For Windows:**
- Download the Tesseract OCR installer from
the [official repository](https://github.com/tesseract-ocr/tesseract)
or [source](https://github.com/UB-Mannheim/tesseract/wiki).
- Run the installer and follow the instructions.
- Add the path to Tesseract in the PATH environment variable (e.g.,
`C:\Program Files\Tesseract-OCR`).
- **For macOS:**
- Use Homebrew to install Tesseract. Open a terminal and run:
```bash
brew install tesseract
```
- **For Linux:**
- Install Tesseract using a package manager. For example, on Ubuntu:
```bash
sudo apt-get update
sudo apt-get install tesseract-ocr
```
- **Installing Language Packages:**
- To add additional language packages, follow the instructions for your operating system.
- **Using in Python:**
- Install the `pytesseract` library:
```bash
pip install pytesseract
```
- Ensure that `pytesseract` knows where Tesseract is installed:
```python
import pytesseract
# Specify the path to Tesseract if it's not in PATH
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
# for Windows
```
6. **Run the scripts:**
- To process PDF using Google Cloud Vision API:
```bash
python PDF_processing_with_Google_Cloud_Vision_API.py
```
- To process PDF locally using PyMuPDF and Tesseract:
```bash
python processing_PDF_locally.py
```
### Running tests
- To run tests, use the command:
```bash
pytest tests/
```
### Linting
- To check your code for standards compliance, use Flake8. Run the command:
```bash
flake8 PDF_processing_with_Google_Cloud_Vision_API.py processing_PDF_locally.py --show-source --statistics
flake8 PDF_processing_with_Google_Cloud_Vision_API.py processing_PDF_locally.py --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
```
### Notes
- In the script `PDF_processing_with_Google_Cloud_Vision_API.py`, replace
`'path_to_your_google_credentials.json'` with
the path to your Google Cloud credentials file.
- In the script `processing_PDF_locally.py`, replace `'Open Project 100 images.pdf'` with the path
to your PDF document.
### Project Structure
- **PDF_processing_with_Google_Cloud_Vision_API.py**: Script for extracting text from images using
Google Cloud Vision
API and creating a Word document.
- **processing_PDF_locally.py**: Script for extracting text from images using Tesseract and
creating a Word document.
### Contributing
- If you want to make changes to the project, fork the repository, make your changes, and create a
Pull Request.
### License
This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).