grobid-parser

A tool that can process scholarly literature into structured dataset.

Setting

• You need to prepare a Python environment in your computer. My execution environment python 3.10.15.
• Install required Python packages via pip install -r requirements.txt. For your convinence, I recommend you install package under conda virtual environment.
• We can use demo site to parse pdf file, so there is no need to start GROBID server in background.

Prerequisites

• You need to prepare a academic paper in PDF format, and upload it through web interface.
• You need to setup following options in .env file.

GROBID_URL=<your-grobid-server-url>
STATIC_FOLDER=<path-to-STATIC-directory>

Usage

1. Start the Flask application

python app.py

2. Open a web browser and navigate to http://localhost:5000

3. Upload a PDF file through the web interface

4. The application will process the PDF and provide:

   • Success/failure notification
   • A portion of the content in the parsed results
   • Option to download the parsed results as CSV