A tool for downloading academic paper references
Project description
PaperChaser
A Python tool for extracting and downloading academic paper references. Supports both single and two-column PDF formats.
Features
- Extract references from PDF files with support for:
- Single and two-column layouts
- Multiple reference formats (numbered, bracketed, author-year)
- Smart reference section detection
- Download papers using:
- DOI lookup
- Title-based search
- Multiple sources (Sci-Hub, PubMed Central, arXiv, etc.)
- Automatic PDF renaming with metadata
- Beautiful command-line interface with:
- Progress bars
- Colored status indicators
- Formatted tables
- Detailed error reporting
Installation
pip install paperchaser
Usage
Basic usage:
# Extract and download references from a PDF
paperchaser path/to/paper.pdf
# Extract references without downloading (debug mode)
paperchaser path/to/paper.pdf --debug
# Specify output directory
paperchaser path/to/paper.pdf -o downloaded_papers
# Force re-download of existing papers
paperchaser path/to/paper.pdf -f
Advanced options:
Options:
-o, --output-dir TEXT Directory to save downloaded papers
--email TEXT Email for Unpaywall API (optional)
-f, --force Force download even if paper already exists
--rename/--no-rename Rename downloaded PDFs using metadata (default: True)
--debug Show debug information without downloading
--help Show this message and exit
Output Format
The tool provides detailed information about the extraction and download process:
- Reference extraction progress
- Found references with numbering
- Download status for each paper
- Color-coded success/failure indicators
- Detailed error messages for failed downloads
Project details
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