pypdf-seekers 0.1.1

Simple parser and information extractor from PDF documents based on keyword search functionality (powered by Rust)

PDF Seekers

Simple parser and information extractor from PDF documents based on keyword search functionality (powered by Rust)

Key Features:

• Indexing capability on single PDF file or directory containing multiple PDF files
• Search for keywords across multiple PDF files to get relevant information
• Get number of pages in PDF file, the page numbers containing the search term, and surrounding text aroung the search term

Getting Started:

Visit the PDF Seeker official repository for more information.

Usage

pdf_seekers.exe [OPTIONS] --action ACTION --file-or-directory FILE_OR_DIRECTORY --index-path INDEX_PATH

Options:

• -a, --action: Action to be performed [index, search]
• -f, --file-or-directory: Provide single PDF file to be searched, or directory path containing multiple PDF files
• -i, --index-path: Directory path where all indexed files will be stored
• -s, --search-term: Keyword to be searched in PDF files (only required when action=Searching)
• -h, --help: Print help
• -V, --version: Print version

Examples

• Indexing Command

$ cargo run -- -a index -i index_dir -f data

• Search Command

$ cargo run -- -a search -i index_dir -f data -s convolutional