# Brief: PDF Processing Work with existing PDFs: extract, merge, split, fill forms, convert formats, or **reformat** with a new design. Usually a Light triage path — except reformat, which escalates to Standard. --- ## Decision Tree ``` User request ├─ "Extract text/tables/images" → §Extract ├─ "Merge/split/rotate/crop pages" → §Pages ├─ "Fill a form" → §Forms (check fillable first) ├─ "Read/write metadata" → §Metadata ├─ "Convert DOCX/PPTX/XLSX to PDF" → §Convert │ └─ DOCX with TOC? → §DOCX Pipeline (5-step) ├─ "Redesign/reformat a document" → §Reformat │ └─ With a reference template? → §Template-Guided Reformat └─ Edge cases (OCR, encrypt, batch) → load briefs/process-advanced.md ``` --- ## Environment Check ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" env.check ``` Reports availability but does **not** auto-install. Required: Python 3, pikepdf, pdfplumber. Entry point: `python3 "$PDF_SKILL_DIR/scripts/pdf.py" . [options]` All commands return JSON on stdout (`{"status": "success", "data": {...}}`) or stderr (`{"status": "error", ...}`). Exit codes: 0 = success, 1 = bad args, 2 = file not found, 3 = parse error, 4 = operation failed. --- ## §Extract ```bash # Text (full or page range) python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf -p 1-3 python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf -p 1,4,7 # Tables — returns structured JSON with page/rows/cols/data python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.table report.pdf # Images — dumps embedded rasters to directory python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.image report.pdf -o ./images/ ``` --- ## §Pages ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.merge a.pdf b.pdf -o combined.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.split book.pdf -o ./chapters/ python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.rotate doc.pdf 90 -o rotated.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.rotate doc.pdf 180 -o rotated.pdf -p 1-3 python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.crop doc.pdf 50,50,550,750 -o trimmed.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean doc.pdf -o cleaned.pdf ``` --- ## §Metadata ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.get doc.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.set doc.pdf -o out.pdf -d '{"Title": "Report", "Author": "Jane"}' python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.brand doc.pdf -o branded.pdf ``` Recognised keys: `Title`, `Author`, `Subject`, `Keywords`, `Creator`, `Producer`. `meta.brand` adds standard branding metadata (producer, creator) in one step. --- ## §Forms ### Step 1 — Check if fillable ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.info input.pdf ``` If `has_fields: true` → **Fillable workflow**. If `false` → **Non-fillable workflow**. ### Fillable Workflow ```bash # Inspect fields python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.info input.pdf # Fill (auto-maps "true"/"false" for checkboxes) python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.fill input.pdf -o filled.pdf \ -d '{"name": "John", "agree": "true", "country": "US"}' ``` **Value rules:** | Type | Value | Example | |------|-------|---------| | text | Free string | `"name": "Jane Doe"` | | checkbox | `"true"` / `"false"` (auto-converts to PDF states) | `"agree": "true"` | | radio | One of `radio_options[].value` | `"gender": "/Choice1"` | | dropdown | One of `choice_options[].value` | `"country": "US"` | For complex forms, use `form.detail` and `form.render` for deeper inspection: ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.detail input.pdf -o fields.json # full field info (types, options, defaults) python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.render input.pdf -o ./pages/ # render pages as PNG for visual check ``` ### Non-Fillable Workflow (Annotation-Based) For PDFs without interactive fields (scanned forms, image-based). All four steps are mandatory. **Step 1 — Render pages as PNG** (required): ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.render input.pdf -o ./pages/ ``` **Step 2 — Create `fields.json`** with annotation regions. To determine bbox coordinates: open the rendered PNG in an image viewer or use Python (`from PIL import Image; img = Image.open('page.png'); print(img.size)`) to get pixel dimensions. Then estimate [left, top, right, bottom] in pixels for each field by inspecting the image. The `dims` field must match the PNG dimensions exactly. ```json { "sheet": [ { "pg": 1, "dims": [1000, 1400], "regions": [ { "id": "last_name", "hint": "Last name field", "label": {"tag": "Last name", "bbox": [30, 125, 95, 142]}, "target": {"bbox": [100, 125, 280, 142]}, "ink": {"value": "Simpson", "size": 14, "color": "000000"} } ] } ] } ``` Schema: `pg` = 1-based page, `dims` = [w,h] in pixels, `label.bbox` / `target.bbox` = [left, top, right, bottom], `ink` = {value, size?, color?, font?}. Label and target boxes must NOT intersect. **Step 3 — Validate bounding boxes** (required): ```bash # Auto-check for intersections python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.check-bbox fields.json # Visual validation (red=target, blue=label) python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.validate 1 fields.json page1.png validation.png ``` Fix any issues, regenerate, re-check. Red rectangles must only cover input areas. **Step 4 — Fill via annotations**: ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.annotate input.pdf fields.json -o filled.pdf ``` --- ## §Reformat Take an existing document and rebuild it with a new visual design. Content is preserved; layout, typography, and visual treatment are rebuilt from scratch. ``` 1. EXTRACT → Extract content from source (extract.text / extract.table / read directly) 2. STRUCTURE → Organize into sections (headings, body, tables, lists) 3. DELEGATE → Route to appropriate brief: Structured → briefs/report.md (ReportLab) Visual → briefs/creative.md (Playwright) 4. BUILD → Follow the delegated brief's full workflow 5. DELIVER → New PDF, same content, new design ``` ### §Template-Guided Reformat When user provides a reference PDF to match: ``` 1. ANALYZE → Extract design DNA from template: - python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.get template.pdf (page size) - python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.image template.pdf (color samples) - python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text template.pdf (text structure) - pdftoppm -png -r 150 template.pdf preview (visual reference) 2. DOCUMENT → Record: page size, margins, colors, fonts, layout grid, header/footer pattern, decorative elements 3. DELEGATE → Route to brief WITH design constraints (not brief defaults) 4. BUILD → Follow brief workflow, constrained to template DNA 5. COMPARE → pdftoppm both, visually compare side-by-side ``` **Key principles:** - Match the spirit, not the pixels — exact replication from PDF is impractical - Prefer original source files (.docx/.html/.tex) over PDF when available - Declare font substitutions upfront; don't silently fall back - Template provides design direction, not content — never leak placeholder text --- ## §Convert ### Office → PDF (LibreOffice) **Simple conversion** (no TOC needed): ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office input.docx -o output.pdf ``` **When to use the 5-step DOCX Pipeline instead**: If the DOCX has (or should have) a Table of Contents, always use §DOCX Pipeline below. Signs: the document has 3+ headings, or the user mentions "table of contents" / "TOC", or the document already contains a TOC section. When in doubt, run `python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-docx input.docx -o fixed.docx` — if it returns `no_toc_needed`, a simple conversion is fine. Or directly: ```bash soffice --headless --convert-to pdf --outdir ./output input.docx ``` **Supported**: `.docx`, `.doc`, `.odt`, `.rtf`, `.pptx`, `.ppt`, `.xlsx`, `.xls`, `.ods`, `.csv`, `.html` **macOS path**: `/Applications/LibreOffice.app/Contents/MacOS/soffice` **Gotchas:** - soffice allows only one instance at a time; close existing LibreOffice windows or use `--env:UserInstallation=file:///tmp/libreoffice_tmp` - Missing Chinese fonts → squares. Ensure SimHei/SimSun are installed. - Large files (>50MB) may take 1-2 min; set reasonable timeout - soffice HTML→PDF is inferior to Playwright for complex CSS **Priority**: Always prefer soffice for Office→PDF (preserves themes, layouts, master slides). Only fall back to python-pptx/python-docx + HTML + Playwright if soffice is unavailable — fidelity will be lower. ### Fallback: Spreadsheet → PDF without LibreOffice Use openpyxl + HTML + Playwright. Let data shape drive layout: | Factor | Decision | |--------|----------| | Columns ≤ 6 | Portrait | | Columns > 6 | Landscape | | Font size | Scale inversely with column count | | Styling | Follow user requirements or source file style; if unspecified, use defaults from `typesetting/palette.md` | ### §DOCX Pipeline (5-Step with TOC) For DOCX files that need TOC generation/correction. Required because LibreOffice `--headless` does not recalculate PAGEREF fields. ``` Step 1: soffice → Convert original DOCX to PDF (pass1) Step 2: pages.clean → Remove blank pages from pass1 Step 3: fix-docx → Add/fix TOC with HYPERLINK + PAGEREF + bookmarks Step 4: fix-pages → Correct TOC page numbers using pass1 as reference Step 5: soffice → Convert final DOCX to PDF + pages.clean ``` **Step 1 — Pass 1 Convert**: ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office input.docx -o pass1.pdf ``` **Step 2 — Clean Blank Pages**: ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean pass1.pdf -o pass1_clean.pdf ``` If `blank_pages_removed == 0`, use pass1.pdf directly. **Step 3 — Fix TOC**: ```bash python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-docx input.docx -o fixed.docx ``` Auto-detects and fixes: placeholder TOC, stale TOC (>50% drift), empty TOC, missing TOC (≥3 headings). Each entry gets `` + `PAGEREF` + bookmarks for clickable PDF navigation. Check output `action` field: `fixed` → use fixed.docx, `skipped` → use original, `no_toc_needed` → skip to Step 5 with pass1 PDF. **Step 4 — Fix Page Numbers**: ```bash python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-pages fixed.docx pass1_clean.pdf -o final.docx ``` Corrects PAGEREF display text using actual page positions from pass1 + TOC page offset. **Step 5 — Final Convert + Clean**: ```bash python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office final.docx -o output.pdf python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean output.pdf -o output_clean.pdf ``` ### Post-Conversion Validation (Optional) ```bash python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" check-conversion final.docx output_clean.pdf ``` Issues caught: `CONV_TOC_LOST` (TOC disappeared), `CONV_HINT_LEAKED` (placeholder text in PDF), `CONV_HEADING_DRIFT` (heading count mismatch). --- ## Caveats | Topic | Detail | |-------|--------| | Encrypted PDFs | Not supported. User must decrypt externally first. | | < 50 MB | Instant | | 50–200 MB | 1–2 minutes | | > 200 MB | Split first, or extend timeout | | Memory | ~2-3× input file size | | Merge failure | Partial output may remain; delete and retry | | Split failure | Some page files may exist; inspect output dir | | Form fill | Original never modified; always writes new file | For edge cases (OCR, batch processing, poppler-utils, qpdf, performance tuning), load `briefs/process-advanced.md`.