# doc2md

> Use this tool when you need to convert documents from PDF, DOCX, and PPTX formats into Markdown, preserving structure and formatting. It solves problems of incompatible file formats and tedious manual conversion, supporting batch processing and automatic format detection. The tool accepts file paths or base64-encoded content as input and outputs clean Markdown files, ideal for use cases requiring format standardization and ease of editing.

Canonical page: https://skillsregistry.net/skills/benguy1000-doc2md  
JSON: https://api.skillsregistry.net/v1/skills/benguy1000-doc2md

## Description

doc2md converts documents from PDF, DOCX, and PPTX formats into clean Markdown. It provides tools for single-file conversion with structure preservation (headings, tables, lists, hyperlinks, footnotes), automatic format detection, and batch processing of multiple files. Supports both file path and base64-encoded content input, with Docker deployment available.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/benguy1000-doc2md)
- **Repository:** <https://github.com/benkeeley9/doc2md>

## 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": "benguy1000-doc2md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benguy1000-doc2md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benguy1000-doc2md/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