# pdf-split > This skill should be used when the user asks to "split PDF by chapters", "divide book into chapters", "extract chapters from PDF", or "break PDF into sections". Splits PDF documents based on table of contents or text patterns using pypdf. - Author: jongwony - Repository: jongwony/cc-plugin - Version: 20260118191406 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-06 - Source: https://github.com/jongwony/cc-plugin - Web: https://mule.run/skillshub/@@jongwony/cc-plugin~pdf-split:20260118191406 --- --- name: pdf-split description: | This skill should be used when the user asks to "split PDF by chapters", "divide book into chapters", "extract chapters from PDF", or "break PDF into sections". Splits PDF documents based on table of contents or text patterns using pypdf. context: fork --- # PDF Chapter Splitting Split PDF documents into individual chapter files based on table of contents or text pattern detection. ## Overview This skill handles PDF splitting when: - A book or document needs to be divided by chapters - The PDF has embedded bookmarks/outlines, OR - Chapter boundaries can be detected from text patterns (e.g., "Chapter 1:", "Part One") ## Prerequisites Install pypdf via uv inline script dependency: ```python # /// script # dependencies = ["pypdf"] # /// ``` ## Workflow ### Phase 1: Analyze PDF Structure Run `scripts/extract_toc.py` to analyze the PDF: ```bash uv run ~/.claude/skills/pdf-split/scripts/extract_toc.py ``` Output includes: - Total page count - Embedded bookmarks/outline (if present) - Detected chapter patterns from text ### Phase 2: Define Chapter Boundaries Based on Phase 1 output, define chapter boundaries as a list of tuples: ```python chapters = [ (start_page, end_page, "chapter_name"), # ... ] ``` **If bookmarks exist**: Use bookmark page numbers directly. **If no bookmarks**: 1. Search for chapter heading patterns in text 2. Verify boundaries by checking page content 3. Present proposed boundaries for user confirmation ### Phase 3: Execute Split Run `scripts/split_by_chapters.py` with the chapter definitions: ```bash uv run ~/.claude/skills/pdf-split/scripts/split_by_chapters.py --chapters '' ``` Example: ```bash uv run ~/.claude/skills/pdf-split/scripts/split_by_chapters.py \ ~/book.pdf \ ~/book_chapters \ --chapters '[[1,22,"00_Intro"],[23,45,"01_Chapter1"]]' ``` ## Common Chapter Patterns | Pattern | Regex | Example | |---------|-------|---------| | Numbered | `Chapter\s+\d+` | "Chapter 1", "Chapter 12" | | Part + Chapter | `Part\s+\w+.*Chapter` | "Part One: Chapter 1" | | Section | `Section\s+\d+` | "Section 1.1" | | Roman numerals | `Chapter\s+[IVXLC]+` | "Chapter IV" | ## Edge Cases ### Large Chapter Detection (100+ pages) When a detected chapter exceeds 100 pages, verify the boundary: - Check if appendix content is included - Look for sub-sections that should be separate files ### Missing TOC When no bookmarks or clear patterns exist: 1. Extract first 20 pages of text 2. Look for manual TOC listing 3. Parse page numbers from TOC text ### Duplicate Pattern Matches Filter results to keep only actual chapter starts: - Chapter headings typically appear at page top - Ignore references to chapters in body text (e.g., "see Chapter 3") ## Output Structure ``` output_dir/ ├── 00_Front_Matter.pdf ├── 01_Chapter_Name.pdf ├── 02_Chapter_Name.pdf ├── ... └── Appendix.pdf ``` Naming convention: `{index:02d}_{sanitized_name}.pdf` ## Integration Notes ### For NotebookLM Upload Split PDFs are suitable for NotebookLM sources: - Each chapter as separate source enables targeted queries - Recommended: Keep files under 500KB when possible - Large chapters may need further splitting ### For RAG Systems Chapter-level splitting provides natural semantic boundaries for: - Document chunking - Retrieval granularity - Citation accuracy ## Scripts Reference | Script | Purpose | |--------|---------| | `scripts/extract_toc.py` | Analyze PDF, extract bookmarks and detect chapter patterns | | `scripts/split_by_chapters.py` | Execute split with provided chapter definitions | ## Additional Resources - **`references/pypdf-guide.md`** - pypdf API quick reference for custom operations