pdf-extractor
OfficialTurn PDFs into structured data in seconds.
Authoralibaba
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables automated extraction of text, tables, and metadata from PDF documents, eliminating tedious manual copying and data-entry tasks. It simplifies the process of transforming unstructured PDF content into structured data for analysis, reporting, or ingestion into data pipelines.
Core Features & Use Cases
- Text Extraction: Pull plain text from PDFs for indexing, search, or processing.
- Table Extraction: Extract tabular data into structured arrays for analytics.
- Metadata Extraction: Capture document properties such as title, author, creation and modification dates.
- Use Case: Batch process hundreds of PDFs to generate a consolidated JSON payload suitable for a data warehouse or BI tool.
Quick Start
Run the extraction script on a PDF file, for example 'sample.pdf', using: python .claude/skills/pdf-extractor/scripts/extract_pdf.py sample.pdf
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pdf-extractor Download link: https://github.com/alibaba/spring-ai-alibaba/archive/main.zip#pdf-extractor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.