PDF

Give Claude, Codex, or OpenClaw a concrete PDF task: extract tables, run OCR, check required fields, merge files, fill a form, or generate a new report. Include the file path, expected output format, and any validation rules the PDF AI checker should apply.

Review extracted text, generated PDFs, OCR confidence, form fields, or transformation logs. Once the result is correct, reuse the same prompt or script as a repeatable PDF AI generator/checker workflow for future files.

• You need a PDF skill for Claude, Codex, or OpenClaw that can inspect documents, extract tables, and summarize structured content.
• You want a PDF AI generator workflow that creates reports, invoices, packets, or filled forms from live data.
• You need a PDF AI checker that can verify text, tables, scanned-page OCR, form fields, file structure, or document completeness before the next automation step.
• You are building repeatable document operations such as merging, splitting, rotating, watermarking, password protection, or batch conversion.

• You only need to visually read one file in a browser or desktop PDF viewer.
• You need pixel-perfect manual design editing, rich comments, legal redlining, or advanced visual annotation tools.
• You need guaranteed OCR accuracy on low-quality scans without reviewing the extracted text.
• You need a hosted no-code PDF editor rather than an installable AI agent skill for automated workflows.

Generate new PDF files from structured inputs with reportlab. An agent can turn API data, database rows, markdown notes, or spreadsheet outputs into formatted reports, invoices, summaries, intake packets, and multi-page documents without opening a word processor.

Use pdfplumber, pdftotext, pdf2image, and pytesseract to inspect a PDF before an agent acts on it. The skill can check whether a document has extractable text, recover OCR from scans, pull tables into data frames, and flag gaps that need human review.

The workflow is designed for AI coding and automation agents. Install the same PDF skill in Claude Code-style environments, Codex workflows, or OpenClaw instances on MyClaw so the agent can operate on local files through repeatable commands and Python scripts.

Handle common document operations with pypdf, qpdf, or pdftk: combine multiple files, split page ranges, rotate pages, add watermark overlays, encrypt output files, or decrypt password-protected inputs when credentials are available.

Read form fields from a template, populate values from a CRM, spreadsheet, or API response, and output completed PDF forms. This is useful for onboarding packets, applications, compliance documents, and other repetitive form workflows.

Run the same extraction, checking, generation, or transformation logic across many files. The PDF skill is a better fit for repeatable agent pipelines than manual online PDF tools because every step can be logged, scripted, and rerun.

An OpenClaw agent collects data from APIs or a database, analyzes the result, and uses the PDF AI generator workflow to produce a polished multi-page report with headings, tables, notes, and page breaks.

A Claude or Codex workflow can inspect uploaded PDFs, extract text and tables, verify required fields, check whether scans need OCR, and send only clean data into accounting, CRM, or compliance systems.

When legacy records or paper forms arrive as image-based PDFs, the skill converts pages to images, runs OCR, and returns machine-readable text that an AI agent can summarize, validate, or route.

Use a PDF template, fill fields from structured data, merge attachments, add watermarks or passwords, and create a final ready-to-send packet without copying values by hand.