This tool is designed to compare the text content of two PDF files or images and generate an HTML file that displays the differences in a format similar to VSCode's Git Diff view.
- Extract text from PDF files.
- Extract text from images (using Tesseract OCR).
- Compare two text contents and generate a diff result.
- Output the diff result in HTML format with highlighted additions, deletions, and unchanged content.
- Automatically open the generated HTML file.
- Python 3.x
- pdfplumber library
- pytesseract library
- Pillow library
- Tesseract OCR engine
- Install Python 3.x(recommended version: Python 3.9).
- Install the required Python libraries:
pip install -r requirements.txt- Install the Tesseract OCR engine:
- macOS:
brew install tesseract
- Linux:
sudo apt-get install tesseract-ocr
- Windows: Download and install the Tesseract OCR engine from [Tesseract OCR for Windows]
- Prepare the two files (PDFs or images) you want to compare.
- If you want to compare images, ensure set the Tesseract OCR engine path and language in the compare.py file.
- Run the following command in the terminal:
python compare.py <file1> <file2>Replace <file1> and <file2> with the paths to the files you want to compare.
4. The program will generate an HTML file output/diff_output.html and automatically open it in your default browser.
Compare two PDF files:
python compare.py ./input/pdf1.pdf ./input/pdf2.pdfCompare a PDF file and an image:
python compare.py ./input/pdf1.pdf ./input/pdf2.pngThe generated HTML file will display the text content of the two files side by side, with differences highlighted:
- Green: Added content.
- Red: Deleted content.
- White: Unchanged content.
- If comparing image files, ensure the text in the images is clear to improve OCR accuracy.
- The generated HTML file will be saved at output/diff_output.html.
This project is licensed under the MIT License. See the LICENSE file for details.
Feel free to submit issues and pull requests. Contributions are welcome!