# BensPDF

> BensPDF — benbergner-benspdf. Use this tool when you need to process PDF files locally, such as extracting text, images, or metadata, to support large language models (LLMs) and agents with document analysis tasks. BensPDF solves problems related to PDF parsing, conversion, and information retrieval, providing a reliable interface for inputting PDF files and outputting extracted data. Ideal for use cases where local PDF processing is required, such as data preparation, research, or automation workflows.

Canonical page: https://skillsregistry.net/skills/benbergner-benspdf  
JSON: https://api.skillsregistry.net/v1/skills/benbergner-benspdf

## Description

Local PDF processing tools for LLMs and Agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/benbergner/BensPDF)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "benbergner-benspdf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benbergner-benspdf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benbergner-benspdf/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt