paper-notes

Extract structured notes from research papers by generating a machine-readable evidence bank. This process captures summaries, methods, results, and limitations into JSONL files to provide a solid foundation for writing your survey.

Automate evidence extraction by populating an evidence bank with extractable snippets from academic papers. This creates a structured JSONL dataset of key information for downstream research synthesis and citation tasks.

Yes, you can generate literature review notes from a CSV file of research papers. The tool reads the CSV format and supports both abstract-level and full-text extraction with prioritization based on mapping information.

The best way to create a machine-readable evidence bank for research synthesis is to extract structured notes and snippets into JSONL files. This ensures consistency across dozens of papers and enables downstream academic writing tasks.

Yes, extracting full-text notes from research papers supports prioritized mapping. The extraction process uses mapping information to prioritize specific data, supporting both abstract-level and full-text processing for your literature survey.