pdf_metadata_extract_restored
OfficialExtract PDF metadata and output JSON results with ease.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves the problem of manually extracting metadata from PDF files by automating the process and providing the results in JSON format.
Core Features & Use Cases
- Automated Metadata Extraction: Extracts metadata such as title, author, subject, page count, and more from PDF files.
- JSON Output: Outputs the extracted metadata in a structured JSON format for easy processing.
- Use Case: Ideal for users who need to quickly extract metadata from PDF files for use in databases or analytics tools.
Quick Start
Extract metadata from the PDF file 'document.pdf' and output it to 'metadata_output.json'.
Dependency Matrix
Required Modules
pypdf
Components
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_metadata_extract_restored Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#pdf-metadata-extract-restored Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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