This application emerged from the studies of the pdfplumber library. Its operation is extremely simple and is very useful to help people who deal daily with pdf files and need to extract tables from these files in their work, college or other activity. Improvement modifications are welcome, it's still in its first version, so it might malfunction with some files.

For use, see the model, available in the test folder, ensure that your pdf file is in this way. The model used to build the application can be found on the official github of the pdfplumber library.

To use it is extremely simple, just write the following line of code in the folder that contains the main.py file:

python3 main.py --path *

Where * represents the directory where the pdf file is stored

_{*Electrical engineering student}

Electrical Engineering student and technology enthusiast with projects in the fields of Data Science, Machine Learning, Deep Learning, Computer Vision and Time Series.

Links:

• LinkedIn
• Medium

• Classificação de Roupas com Deep Learning MNIST: http://bit.ly/3pQxIb7
• Detecção de Pneumonia com Deep Learning: http://bit.ly/2ZOxRBl
• Previsão de Demanda com Prophet - Time Series: http://bit.ly/2ZOz7EB
• Streamlit Aplicado ao Dataset do UBER: http://bit.ly/3pTSHKi
• Add-Watermark Project: http://bit.ly/3uxIDdu
• Filter Selector with Streamlit and OpenCV: https://bit.ly/3yD62vT
• Heart Attack Analysis and Prediction: https://bit.ly/3wy3FbZ
• Análise de Dados do Airbnb: https://bit.ly/2Zet7Iq
• Water Quality Classification: https://bit.ly/3vuE9Fu