pdf

Fill PDF forms and extract text and tables from documents.

1|1|Updated Jan 6, 2026

Search Tags:#data extraction #pdf #form filling #text extraction #document automation #pdf manipulation

Ready to run

npx skills add https://github.com/alijilani-dev/Claude --skill pdf-alijilani-dev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/alijilani-dev/Claude/tree/main/skills/collection/skills/pdf
Command: npx skills add https://github.com/alijilani-dev/Claude --skill pdf-alijilani-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the tedious process of filling out PDF forms and extracting data from documents, saving significant time and reducing manual effort.

Core Features & Use Cases

Fillable & Non-Fillable Forms: Handles both types of PDF forms, ensuring compatibility with a wide range of documents.
Data Extraction: Extracts text and tables from PDFs, converting unstructured data into usable formats.
Use Case: Automatically process a batch of customer onboarding forms by extracting key information and populating a database, or merge multiple PDF reports into a single, consolidated document.

Quick Start

Use the pdf skill to fill out the attached form 'application.pdf' with the provided data.

Frequently Asked Questions about pdf

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

FAQPage Schema

How do I extract text and tables from PDF documents programmatically?▼

To extract text and tables from PDF documents programmatically, this skill utilizes libraries like pdfplumber and pypdf to parse unstructured data and convert it into usable formats. It handles both fillable and non-fillable PDF forms for data digitization.

Can I automate filling out non-fillable PDF forms?▼

Yes, you can automate filling out non-fillable PDF forms. This skill supports programmatic data entry for both fillable and non-fillable PDF documents, enabling you to automate administrative tasks and customer onboarding workflows without manual effort.

Does this PDF data extraction tool use OCR for scanned documents?▼

Yes, this PDF data extraction tool uses OCR for scanned documents by leveraging pytesseract and pdf2image. These dependencies allow the skill to process and extract text from non-fillable or image-based PDF files where standard text extraction would fail.

What's the best way to automate processing a batch of customer onboarding forms?▼

The best way to automate processing a batch of customer onboarding forms is using this skill to extract key information and populate a database. It handles document automation workflows by converting unstructured PDF data into usable formats.

How do I convert unstructured PDF data into a usable format for a database?▼

You can convert unstructured PDF data into a usable format for a database by using this skill's data extraction features. It extracts text and tables from PDF documents, allowing you to programmatically process and populate databases with key information from onboarding forms.

Are there limitations when manipulating PDFs with pypdf and pdfplumber?▼

Limitations when manipulating PDFs with pypdf and pdfplumber include potential issues with complex layouts or scanned images, which require OCR via pytesseract. The skill is designed for document automation but may need image conversion for non-fillable forms.