pdf-poppler-utils for Openclaw

A comprehensive toolkit for AI agents to programmatically extract text, images, and metadata from PDF files using the industry-standard Poppler library.

xlionjuan
v1.0.0
Feb 28, 2026
1
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install pdf-poppler-utils

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install pdf-poppler-utils using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is pdf-poppler-utils?

The pdf-poppler-utils skill provides a robust suite of command-line tools designed for high-fidelity PDF manipulation. This collection, built on the renowned Poppler library, allows an agent to perform complex operations such as precise text extraction, page splitting, and multi-format conversion. By integrating these Openclaw Skills into your development environment, you empower your AI agent to handle static documents as dynamic data sources, ensuring reliability and speed without relying on external cloud APIs.

Whether you are building an automated research pipeline or a document management system, this skill offers the granular control necessary for professional workflows. These Openclaw Skills are essential for any developer looking to bridge the gap between unstructured PDF files and actionable digital information.

pdf-poppler-utils Use Cases

  • Extracting clean text content from academic papers, legal documents, or financial reports.
  • Splitting massive PDF manuals into individual pages for faster indexing and retrieval.
  • Merging multiple disparate documents into a single, unified PDF file.
  • Converting PDF pages into high-resolution images or HTML for web-based previews.
  • Verifying digital signatures and extracting embedded file attachments for security audits.

How pdf-poppler-utils Works

  1. The AI agent identifies a PDF processing requirement and selects the appropriate binary from the suite.
  2. The specific tool (like pdftotext or pdfimages) is invoked with the necessary path and flags within the Openclaw Skills framework.
  3. The Poppler engine parses the document structure to extract the requested layer, such as metadata, fonts, or images.
  4. Output is generated as a new file or streamed to stdout for immediate consumption by the agent's next logic step.
  5. The agent then processes the resulting data to fulfill the user's high-level request.

pdf-poppler-utils Setup

To use this skill, ensure you have Homebrew installed on your macOS system and run the following commands:

# Install the Poppler package
brew install poppler

# Recommended: Unlink the Homebrew curl to avoid SSL conflicts
brew unlink curl -v

pdf-poppler-utils Data Schema & Taxonomy

The pdf-poppler-utils skill handles various data outputs depending on the tool used. Below is a summary of the metadata and data structures typically generated by these Openclaw Skills:

Tool Primary Output Metadata Extracted
pdfinfo Text Summary Title, Author, Pages, Encrypted Status
pdftotext .txt file Layout preservation, page numbers
pdfimages .png/.jpg Image dimensions, color space
pdffonts Table/List Font name, type, encoding, embedding status
pdfsig Text Summary Signature validity and certificate info

pdf-poppler-utils Advanced Features

  • Support for password-protected PDFs using owner and user password flags.
  • High-fidelity conversion to Cairo-based formats including SVG and TIFF.
  • Direct attachment management with the ability to both attach and detach files from PDF containers.
  • Layout-aware text extraction that maintains the visual structure of the original document.
  • Integration with other Openclaw Skills for automated document processing and data pipeline enrichment.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*