What problem does it solve?
Turning a folder of PDF papers into structured bibliography records is slow and error-prone when done manually, especially when you also need to populate a Feishu (Lark) multi-dimensional table.
Core Features & Use Cases
- Script-based batch extraction: Extracts title, author, year, journal, volume/issue/page, DOI, and abstract using local PDF tools rather than per-PDF AI reading to control cost.
- Human-in-the-loop correction: Generates JSON output for you to verify and fill missing or unreadable fields.
- Automated Feishu Base upsert: Uses a script to create the Base/table structure and batch upsert records into Feishu multi-dimensional tables.
- Use case: When you have dozens of PDFs (e.g., 30–100) and want to quickly centralize bibliographic metadata into a Feishu database for later screening and writing.
Quick Start
Ask your assistant to generate the extraction script, run it on your PDF folder, help you review the produced bib_data.json, then generate the import script to upsert the records into your Feishu Base table.