pdf-extraction

To extract structured text and tables from a PDF, this skill parses native and image-based documents while preserving their original structure. It identifies sections, pulls metadata like title and date, and formats the output specifically for downstream research synthesis and memo generation.

Yes, you can pull metadata and citations from scanned PDFs. The skill classifies documents as native or scanned, applies OCR for image-based files, and extracts titles, dates, authors, and jurisdictions to provide grounded context for due-diligence workflows.

The best way to extract data from encrypted or restricted regulatory filings is using a skill that explicitly flags access limitations. This tool processes hybrid documents and large packs, preserving tables and quotes while identifying restricted content that cannot be parsed.

You can extract data from PDF contracts without losing structure by using a skill designed to preserve formatting. It pulls sections, tables, and quotes into a structure-preserving format, ensuring the grounded context remains intact for subsequent document summarization.

Yes, this PDF extraction approach works for large packs of hybrid documents. It processes mixed native and scanned files, preserves structural elements like tables and forms, and flags any encrypted content to ensure reliable extraction across entire document sets.