PDF

Pdf

Overview

This skill enables comprehensive PDF operations through Python libraries and command-line tools. Use it for reading, creating, modifying, and analyzing PDF documents.

Quick Start

from pypdf import PdfReader

reader = PdfReader("document.pdf")
for page in reader.pages:
    text = page.extract_text()
    print(text)

Tool Selection (WRK-1277 + WRK-1302 + WRK-1303 Learnings)

Scenario → Tool Mapping

Quality & Completeness Index (measured on dev-primary)

Scores: text completeness (% of content captured vs best-in-class), structure preservation, and batch viability. Based on WRK-1302 (243 PDFs) and WRK-1303 (6 PDFs).

Column definitions:

• Text Completeness: chars extracted vs pdftotext baseline (WRK-1302: 243 PDFs, WRK-1303: 6 PDFs)
• Structure: none = raw text | partial = some layout | full = headings, lists, sections
• Tables: none | basic = cell text only | good = rows+cols preserved | excellent = multi-span
• Equations: unicode symbols | unicode+context = in structured output | LaTeX = formula markup
• Batch Safe: can run in ProcessPoolExecutor on NFS/NTFS without hangs or crashes

WARNING: pdfplumber hangs in kernel D-state (disk sleep) on NTFS and NFS mounts. SIGALRM cannot interrupt kernel I/O. Use pdftotext via subprocess.run(timeout=N) for any batch/parallel work — the subprocess can be killed reliably on timeout.

Benchmarks: scripts/data/doc_intelligence/benchmark_pdf_tools.py (WRK-1302), scripts/data/doc_intelligence/benchmark_docling.py (WRK-1303)

When to Use

• Batch PDF processing - Use pdftotext (poppler) via subprocess for bulk extraction
• Converting PDFs to Markdown - Use OpenAI Codex for intelligent conversion (single docs)
• Extracting text and metadata from PDF files
• Merging multiple PDFs into a single document
• Splitting large PDFs into individual pages
• Adding watermarks or annotations to PDFs
• Password-protecting or decrypting PDFs
• Extracting images from PDF documents
• OCR processing for scanned documents
• Creating new PDFs with reportlab
• Extracting tables from structured PDFs

Showing PDF Evidence to the User

When a user asks to "open" or "show" a PDF, prefer direct display, but verify rendering:

1. Try opening the PDF in the browser/viewer using its absolute file:// path.
2. If the browser PDF viewer renders blank or cannot show the page, convert the relevant page(s) to images with Poppler and return MEDIA: links:

mkdir -p /tmp/pdf-pages
pdftoppm -f 1 -l 1 -png -singlefile "$PDF" /tmp/pdf-pages/document_page_01
pdftoppm -f "$PAGE" -l "$PAGE" -png -singlefile "$PDF" /tmp/pdf-pages/document_page_${PAGE}
file /tmp/pdf-pages/document_page_01.png /tmp/pdf-pages/document_page_${PAGE}.png

3. For evidence questions, render both the cover/first page and the controlling clause page so the user can visually verify document identity and operative text.
4. If visual inspection is needed, run image analysis on the rendered page and confirm the visible section/page before reporting.

Version History

• 1.2.2 (2026-01-04): Fixed P2 issue - added parents=True to all mkdir() calls to handle nested output paths; prevents FileNotFoundError when creating directories with non-existent parent paths
• 1.2.1 (2026-01-04): Fixed CLI tool missing imports - added complete standalone script with all required imports (openai, pypdf, logging) and function definitions; resolved P1 issue from Codex review
• 1.2.0 (2026-01-04): MAJOR UPDATE - Added OpenAI Codex integration for PDF-to-Markdown conversion as recommended first step for all PDF processing; includes batch conversion, chunking for large files, cost-effective options, and complete CLI tool
• 1.1.0 (2026-01-02): Added Quick Start, When to Use, Execution Checklist, Error Handling, Metrics sections; updated frontmatter with version, category, related_skills
• 1.0.0 (2024-10-15): Initial release with pypdf, pdfplumber, reportlab, CLI tools

Sub-Skills

• Why Convert to Markdown First?
• OpenAI Codex Conversion
• pypdf - Core PDF Operations (+2)
• pdftotext (Poppler) (+2)
• Why Use PDF-Large-Reader? (+8)
• OCR for Scanned Documents (+3)
• Execution Checklist
• Common Errors
• Metrics
• Quick Reference
• Dependencies