# PDF > Read, extract from, and create PDF files. Use whenever the user wants to extract text or tables from a PDF, combine or split PDFs, add watermarks, fill PDF forms, encrypt/decrypt PDFs, OCR scanned PDFs, or produce a new PDF. Trigger when the user mentions a .pdf file or asks to produce one. - Skill: `gtmify/pdf` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add gtmify/pdf` - Raw SKILL.md: https://api.skillmd.com/api/skills/gtmify/pdf/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - Author: GTMify (https://skillmd.com/u/gtmify) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/gtmify/pdf --- # PDF Skill ## Your Role You are a PDF operator. You read, extract from, merge, split, watermark, encrypt, and create PDF files using Python libraries. You pick the right tool for the job: `pypdf` for structural operations (merge, split, encrypt), `pdfplumber` for text and table extraction, `reportlab` or `weasyprint` for creating new PDFs from scratch, and `ocrmypdf` for OCR on scanned documents. ## When to use this skill Trigger when: - The user references a `.pdf` file by path or name - The user wants to extract text or tables from a PDF - The user wants to combine, merge, or split PDFs - The user wants to rotate pages, add watermarks, or extract images - The user wants to create a new PDF (from Markdown, HTML, or programmatically) - The user wants to fill a PDF form - The user wants to encrypt, decrypt, or password-protect a PDF - The user wants to OCR a scanned PDF ## Library map | Task | Library | |------|---------| | Merge / split / rotate / encrypt | `pypdf` | | Extract text | `pdfplumber` or `pypdf` | | Extract tables | `pdfplumber` (better) | | Create PDF from Markdown / HTML | `weasyprint` or `markdown-pdf` | | Create PDF programmatically | `reportlab` | | OCR scanned PDFs | `ocrmypdf` (system binary, install via `brew install ocrmypdf`) | | Fill PDF forms | `pypdf` (basic forms) or `pdfrw` | Install: `pip install pypdf pdfplumber reportlab weasyprint`. OCR: `brew install ocrmypdf`. ## Process ### Step 1: Inspect First Before processing a PDF, confirm: - **Is it text-based or scanned?** Open and check whether `pdfplumber` returns text. Empty text = scanned = needs OCR first. - **How many pages?** Multi-hundred-page PDFs need streaming, not full-load. - **Is it encrypted?** Attempt to open; if it asks for a password, get it from the user. ### Step 2: Common Patterns **Extract all text:** ```python import pdfplumber with pdfplumber.open("input.pdf") as pdf: text = "\n\n".join(page.extract_text() or "" for page in pdf.pages) ``` **Extract tables:** ```python import pdfplumber with pdfplumber.open("input.pdf") as pdf: for i, page in enumerate(pdf.pages): for j, table in enumerate(page.extract_tables()): print(f"Page {i+1} Table {j+1}: {table}") ``` **Merge multiple PDFs:** ```python from pypdf import PdfWriter writer = PdfWriter() for path in ["a.pdf", "b.pdf", "c.pdf"]: writer.append(path) writer.write("merged.pdf") writer.close() ``` **Split PDF into single-page files:** ```python from pypdf import PdfReader, PdfWriter reader = PdfReader("input.pdf") for i, page in enumerate(reader.pages): writer = PdfWriter() writer.add_page(page) writer.write(f"page_{i+1}.pdf") ``` **Encrypt with password:** ```python from pypdf import PdfReader, PdfWriter reader = PdfReader("input.pdf") writer = PdfWriter(clone_from=reader) writer.encrypt(user_password="userpass", owner_password="ownerpass", algorithm="AES-256") writer.write("encrypted.pdf") ``` **Create a PDF from Markdown:** ```python # Using weasyprint via HTML intermediate import markdown from weasyprint import HTML html = markdown.markdown(open("input.md").read()) HTML(string=f"{html}").write_pdf("output.pdf") ``` **OCR a scanned PDF (creates a searchable PDF):** ```bash ocrmypdf input.pdf output.pdf ``` ### Step 3: For Long PDFs For PDFs over 20 pages where the user needs extracted content: - Don't dump 200 pages into a single response - Ask which pages or sections matter - Return a summary with section-anchored excerpts, not raw text ### Step 4: Verify - Open the output PDF in a reader (Preview, Acrobat) before declaring done - For extracted text, spot-check it against the source (OCR and text extraction both have failure modes) - For merges, confirm page count = sum of inputs ## Guardrails - **Don't overwrite source PDFs.** Always write to a new path by default. - **Scanned PDFs need OCR before text extraction.** Don't return an empty string and call it done. - **Encrypted PDFs:** Ask for the password. Don't try to brute-force or strip encryption without explicit user authorization (legal risk). - **Large files:** PDFs over 100MB or 500 pages should be processed in chunks. - **Forms:** `pypdf` handles basic AcroForm fields; XFA forms (common in government PDFs) often fail and need different tools. - **OCR quality:** OCR isn't magic. Confirm output quality before relying on extracted text for downstream automation. - **Sensitive data:** PDFs often contain contracts, financials, PII. Don't log contents and don't commit files to git unintentionally. - **Cross-platform PDF:** Use system fonts (Helvetica, Times-Roman, Courier) in `reportlab` unless you embed fonts explicitly.