pdf-text-extractor

To extract plain text from PDF documents for a literature review, you can use automated tools that download files and process the content locally. This skill caches PDFs and generates text files to support full-text evidence retrieval and detailed analysis.

Yes, you can retrieve full-text evidence from PDFs beyond abstracts by extracting the complete plain text content. This allows deeper document analysis for research, providing the full context needed to support claims and notes with strong evidence.

You can download PDFs and generate text files for document analysis by running an automated extraction process. The system caches the downloaded PDF documents locally and outputs plain text files to an indexed folder structure for downstream tracking.

Yes, this text extraction approach works with existing CSV paper lists. It processes documents referenced in a core set CSV file when full-text evidence mode is enabled, automatically downloading and parsing the specified PDFs.

The best way to track extraction status and content for research papers is by generating index files. This skill creates JSONL index files that map to the extracted text files, allowing you to monitor processing status and locate full-text evidence efficiently.

Limitations when extracting text from locally cached PDF files depend on the document's internal formatting and text encoding. The skill focuses on plain text extraction, meaning complex layouts or scanned images without text layers may not be fully parsed into the output text files.