pdf

Fill PDF forms and extract text and tables using Python libraries.

1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/digresik-tech/olt-monitoring-mini --skill pdf-digresik-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/digresik-tech/olt-monitoring-mini/tree/main/skills/pdf
Command: npx skills add https://github.com/digresik-tech/olt-monitoring-mini --skill pdf-digresik-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

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

Core Features & Use Cases

  • Fillable Form Filling: Programmatically populate fields in PDFs that have pre-defined form elements.
  • Non-Fillable Form Annotation: Add text annotations to PDFs that lack fillable fields, based on visual analysis.
  • Data Extraction: Extract text and tables from PDF documents.
  • Use Case: Automatically fill out a batch of standardized application forms with consistent applicant data, or extract key information from scanned reports.

Quick Start

Use the pdf skill to fill out the form in '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 automate filling out PDF forms that lack fillable fields?

You can automate filling non-fillable PDF forms by adding text annotations based on visual analysis. This approach uses pdf2image to render the document and applies programmatic data entry to overlay text where fields should appear.

Can I extract tables and text from PDF documents programmatically?

Yes, you can extract tables and text from PDF documents using pdfplumber. This data extraction process parses document content programmatically, allowing you to pull structured information from scanned reports and text-based files.

Does this PDF manipulation approach support both fillable and non-fillable forms?

Yes, this PDF manipulation approach supports both fillable and non-fillable forms. It populates pre-defined form fields using pypdf and annotates non-fillable documents by applying text overlays based on visual analysis.

What is the best way to fill a batch of standardized PDF application forms?

The best way to fill a batch of standardized PDF application forms is through programmatic data entry. You supply consistent applicant data to the automation script, which iterates through the files and populates the form fields automatically.

Why use pdfplumber and pypdf together for document automation?

Using pdfplumber and pypdf together provides comprehensive PDF manipulation for document automation. pypdf handles writing data into fillable form fields, while pdfplumber extracts text and tables for data processing workflows.

What are the limitations of annotating non-fillable PDFs based on visual analysis?

Annotating non-fillable PDFs based on visual analysis requires rendering pages with pdf2image, which may face limitations with complex layouts. Precise text placement depends on accurate visual coordinates, meaning heavily skewed or rotated documents might not align correctly.