pdf

Extract text and structured data from PDF documents using pypdf and pdfplumber.

6|2|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/valkryhx/google_adk_agent --skill pdf-valkryhx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/valkryhx/google_adk_agent/tree/main/skills/pdf
Command: npx skills add https://github.com/valkryhx/google_adk_agent --skill pdf-valkryhx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the tedious manual work of filling out PDF forms and extracting data from documents, saving you hours of repetitive effort.

Core Features & Use Cases

  • Automated Form Filling: Programmatically fill both fillable and non-fillable PDF forms.
  • Data Extraction: Pull text and structured table data from any PDF into usable formats.
  • Use Case: Imagine you have 100 vendor invoices in PDF format. Use this Skill to automatically extract the invoice number, date, and total amount from each one and compile them into a single CSV file.

Quick Start

Use the pdf skill to extract all text from the attached file 'invoice-q3.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 structured table data from a PDF document?

Automated PDF data extraction uses pdfplumber and pypdf to parse binary streams and pull text and structured tables into usable formats. It eliminates manual data entry by programmatically retrieving archival data and invoice details.

Can I programmatically fill both fillable and non-fillable PDF forms?

You can programmatically fill both fillable and non-fillable PDF forms using this automation Skill. It applies Python libraries to inject data directly into PDF documents, streamlining administrative workflows and form digitization without manual typing.

What is the best way to batch process vendor invoices and compile the extracted data into a CSV?

The best way to batch process vendor invoices is using this PDF automation Skill to extract invoice numbers, dates, and total amounts from multiple documents. It automatically compiles the structured data extraction results into a single CSV file.

Does this PDF data extraction approach require any specific Python dependencies?

This PDF data extraction approach requires the Python dependencies pypdf, pdfplumber, and pdf2image. These libraries are essential for parsing binary PDF streams, extracting text, and rendering document pages for automated processing.

Are there limitations when using pdfplumber to parse binary PDF streams for archival data retrieval?

Limitations may arise when using pdfplumber to parse binary PDF streams if the archival documents contain scanned images instead of embedded text. In such cases, optical character recognition preprocessing might be required before automated data extraction can succeed.