# genpark-unstructured-pdf-document-table-extractor-skill

> genpark-unstructured-pdf-document-table-extractor-skill — alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill. Use this tool when you need to extract tables from unstructured PDF documents, especially those with multi-column layouts, and convert them into readable Markdown or JSON formats. It solves problems of manual data entry and formatting, saving time and reducing errors. Ideal for use cases involving data migration, research, or document processing, where PDF tables need to be quickly and accurately extracted and converted.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill

## Description

Fast unstructured PDF & multi-column table extractor to Markdown/JSON

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-unstructured-pdf-document-table-extractor-skill)

## 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": "alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-unstructured-pdf-document-table-extractor-skill/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