https://github.com/kkdai/pdf_online_editor

A simple web application built with Streamlit that allows users to upload a PDF file and display its pages as images. Users can select a page from the uploaded PDF and view its content as text.
https://github.com/kkdai/pdf_online_editor

heroku pdf pdfimages python streamlit

Last synced: about 2 months ago
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A simple web application built with Streamlit that allows users to upload a PDF file and display its pages as images. Users can select a page from the uploaded PDF and view its content as text.

• Host: GitHub
• URL: https://github.com/kkdai/pdf_online_editor
• Owner: kkdai
• Created: 2023-08-03T15:44:56.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-01-04T03:47:10.000Z (12 months ago)
• Last Synced: 2024-01-04T04:29:02.365Z (12 months ago)
• Topics: heroku, pdf, pdfimages, python, streamlit
• Language: Python
• Homepage:
• Size: 257 KB
• Stars: 7
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PDF Upload and Display

This is a simple web application that allows users to upload a PDF file and display its pages as images. Users can select a page from the uploaded PDF and view its content as text.

## Deploy

[![Deploy to Render](http://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy)

[![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy)

## Demo

![](img/demo.png)

## Installation

Clone the repository to your local machine.

Install the required packages using `pip install -r requirements.txt`.

Run the app using streamlit run app.py.

## Usage

- Upload a PDF file using the file uploader.

- Select a page from the uploaded PDF using the selectbox.

- The selected page will be displayed as an image in the first column.

- The content of the selected page will be displayed as text in the second column.

## Dependencies

- streamlit

- pdf2image

- PyPDF2

- Pillow

## License

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

## Acknowledgments

This project was inspired by the Streamlit Gallery and the PyPDF2 documentation.

Thanks to the developers of the streamlit and pdf2image packages for making this project possible.