📑📝 Scanned PDFs checker 📄👨‍💻

A minimalistic streamlit based webapp to detect and identify scanned/digitally created PDFs from a large corpus. Want to OCR the scanned docs? Don't worry we have that covered here as well 😉

Live Web-App can be found here.

Installation:

• Simply run the command pip install -r requirements.txt to install the necessary dependencies.

Usage:

1. Simply run the command:

streamlit run app.py

2. Navigate to http://localhost:8501 in your web-browser.
3. By default, streamlit allows us to upload files of max. 200MB. If you want to have more size for uploading images, execute the command :

streamlit run app.py --server.maxUploadSize=1028

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Results

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Running the Dockerized App

1. Ensure you have Docker Installed and Setup in your OS (Windows/Mac/Linux). For detailed Instructions, please refer this.
2. Navigate to the folder where you have cloned this repository ( where the Dockerfile is present ).
3. Build the Docker Image (don't forget the dot!! 😄 ):

docker build -f Dockerfile -t app:latest .

4. Run the docker:

docker run -p 8501:8501 app:latest

This will launch the dockerized app. Navigate to http://localhost:8501/ in your browser to have a look at your application. You can check the status of your all available running dockers by:

docker ps