https://github.com/das-amlan/pdf_image_extractor_web_app

This is a simple web app that allows users to upload a PDF file, extract images from the PDF, and display the images in the web app.
https://github.com/das-amlan/pdf_image_extractor_web_app

fitz flask html pymupdf-fitz python streamlit

Last synced: 10 days ago
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This is a simple web app that allows users to upload a PDF file, extract images from the PDF, and display the images in the web app.

• Host: GitHub
• URL: https://github.com/das-amlan/pdf_image_extractor_web_app
• Owner: das-amlan
• Created: 2023-09-23T12:08:50.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-12-01T12:14:41.000Z (26 days ago)
• Last Synced: 2024-12-01T12:31:47.360Z (26 days ago)
• Topics: fitz, flask, html, pymupdf-fitz, python, streamlit
• Language: Python
• Homepage:
• Size: 14.5 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PDF Image Extractor Web App

This is a simple web app built with Flask that allows users to upload a PDF file, extract images from the PDF, and display the images in the web app.

## Getting Started

To run the web app, you need to have Python 3 and Flask installed on your system. You can install Flask using pip:

```

pip install Flask

```

After installing Flask, clone this repository to your local machine:

```

git clone https://github.com/your_username/pdf-image-extractor.git

```

## Running the Web App

To run the web app, navigate to the project directory and run the pdfExtract.py script:

```

cd pdf-image-extractor

python pdfExtract.py

```

This will start the Flask development server on `http://localhost:5000/`. You can access the web app by opening this URL in your web browser.

## Uploading a PDF File

To extract images from a PDF file, click the "Upload PDF" button on the home page. This will take you to the `upload_pdf.html` page, where you can select a PDF file to upload.

## Extracting Images from the PDF

After uploading a PDF file, the web app will extract images from each page of the PDF using the `PyMuPDF` library. The `extract_images_from_page` function in `pdfExtract.py` is responsible for extracting images from the PDF.

## Displaying Extracted Images

Once the images are extracted, they are saved to the images folder with unique filenames using `uuid.uuid4()`. The `display_images.html` template in the templates folder displays the extracted images using the url_for function.

## Conclusion

That's it! You now have a simple web app that can extract images from a PDF file and display them in the browser. You can further customize and improve the app according to your requirements.

I hope this helps!