pdf-processing-pro

Extract text, tables, and form data from PDFs with OCR.

Updated Aug 27, 2026

Search Tags:#ocr #pdf #form filling #document automation #batch processing #extraction

Ready to run

npx skills add https://github.com/sharkitect-solutions/sharkitect-claude-toolkit --skill pdf-processing-pro-sharkitect-solutions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf-processing-pro
Source: https://github.com/sharkitect-solutions/sharkitect-claude-toolkit/tree/main/skills/pdf-processing-pro
Command: npx skills add https://github.com/sharkitect-solutions/sharkitect-claude-toolkit --skill pdf-processing-pro-sharkitect-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, pytesseract, pandas, openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the complex and time-consuming tasks of extracting data from PDFs, filling out forms, and processing scanned documents, significantly reducing manual effort and errors.

Core Features & Use Cases

Advanced PDF Extraction: Extract text, tables, and form data from native PDFs.
Intelligent Form Handling: Fill, validate, and flatten PDF forms programmatically.
OCR for Scanned Documents: Convert image-based PDFs into searchable and extractable text.
Batch Processing: Efficiently handle large volumes of PDF documents.
Use Case: Automate the processing of a batch of scanned application forms by extracting data from each, filling in a standardized response PDF, and archiving the results.

Quick Start

Use the pdf-processing-pro skill to extract tables from the document located at /path/to/your/document.pdf.

Frequently Asked Questions about pdf-processing-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract text and tables from a scanned PDF document?▼

To extract text and tables from a scanned PDF, OCR processing via pytesseract and pdf2image converts image-based pages into searchable text, while pdfplumber handles native table extraction for comprehensive document digitization.

What is the best way to automate PDF form filling and validation in batch?▼

Automating PDF form filling in batch is achieved by programmatically populating form fields using pypdf, validating the data inputs, flattening the output to prevent modifications, and iterating across large document volumes.

Does pdfplumber work with pytesseract for extracting data from native and scanned PDFs?▼

Yes, pdfplumber works with pytesseract to cover mixed PDF extraction; pdfplumber extracts text and tables from native digital documents while pytesseract applies OCR to scanned image-based pages lacking embedded text layers.

Can I use Python to process large volumes of PDF documents for form extraction?▼

Yes, you can process large volumes of PDF documents for form extraction by implementing batch processing workflows that iterate through directories, extracting data and filling standardized response PDFs automatically to reduce manual effort.

How do I flatten a filled PDF form programmatically to prevent further edits?▼

To flatten a filled PDF form programmatically and prevent edits, use pypdf to convert interactive form fields into static page content, finalizing the document state after completing data validation and filling operations.