pdf

Extract text and tables from PDFs using Python scripts.

Updated Feb 8, 2026

Search Tags:#automation #pdf #form filling #document generation #text extraction #table extraction

Ready to run

npx skills add https://github.com/AnishWerkstatt/automated-budget-tools --skill pdf-anishwerkstatt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/AnishWerkstatt/automated-budget-tools/tree/main/public/pdf
Command: npx skills add https://github.com/AnishWerkstatt/automated-budget-tools --skill pdf-anishwerkstatt

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

PDFs often require repetitive, manual handling such as extracting text and tables, filling forms, annotating, and merging documents, which is time-consuming and error-prone.

Core Features & Use Cases

Text & Table Extraction: Pull plain text and structured tables from PDFs for data analysis or ingestion.
Form Handling & Annotation: Programmatically fill fillable forms and add text annotations for digitization workflows.
Document Assembly & Conversion: Create new PDFs, merge/split pages, rotate and assemble reports from multiple sources.

Quick Start

Run the included scripts to extract text and tables from a sample PDF.

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 at scale?▼

To extract text and tables from PDFs at scale, you can automate the workflow using Python scripts that leverage pdfplumber and pypdf. This approach pulls plain text and structured table data from PDF documents for analysis or ingestion without manual effort.

Can I programmatically fill fillable PDF forms and add annotations?▼

Yes, you can programmatically fill fillable PDF forms and add text annotations. This is achieved through Python automation scripts designed for digitization workflows, replacing repetitive manual handling with automated form filling and annotation processes.

What is the best way to merge, split, and assemble PDF reports from multiple sources?▼

The best way to merge, split, and assemble PDF reports from multiple sources is through document assembly scripts. These scripts automate creating new PDFs, splitting pages, rotating documents, and assembling reports from multiple sources.

Do I need Python dependencies like pypdf and pdfplumber to automate PDF workflows?▼

Yes, you need Python dependencies including pypdf, pdfplumber, pdf2image, and Pillow to automate PDF workflows. These libraries provide the core functionality for text extraction, form handling, and image processing required by the automation scripts.

How do I convert PDF pages to images for processing?▼

To convert PDF pages to images for processing, you can use Python automation scripts that utilize the pdf2image and Pillow dependencies. This enables image-based extraction and processing workflows within your document manipulation pipeline.