irspdf is a simple textual information retrieval system for pdf documents.
Text is extracted from pdf with pdfplumber.
Standard text preprocessing for information retrieval is applied:
The ranking function used is BM25.
pip install irspdf
git clone https://github.com/Jibril-Frej/irspdf.git
cd irspdf && python setup.py install
from irspdf import build
build(folder_path, collection_path)
folder_path : path of the folder that contains all the pdf files to include to the collection.
collection_path : file where the collection will be saved
from irspdf import query
query(collection_path)
collection_path : file where the collection is saved
from irspdf import update
update(folder_path, collection_path)
folder_path : path of the folder that contains all the pdf files to add to the collection.
collection_path : file where the original collection is saved
Documentation: https://irspdf.readthedocs.io/en/latest/.
Source Code: https://github.com/Jibril-Frej/irspdf
Package: https://pypi.org/project/irspdf/
FAQs
A simple information retrieval system for pdf documents
We found that irspdf demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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