# ocrmypdf-mcp

> ocrmypdf-mcp — chemysterium-ocrmypdf-mcp. Use this tool when you need to make scanned PDFs searchable by adding text layers through Optical Character Recognition (OCR). It solves the problem of inaccessible text in scanned documents, allowing for easy searching and editing. The tool takes scanned PDFs as input and outputs searchable PDFs, ideal for use cases like document archiving, research, and academic reference management.

Canonical page: https://skillsregistry.net/skills/chemysterium-ocrmypdf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chemysterium-ocrmypdf-mcp

## Description

Provides OCR capabilities to add searchable text layers to scanned PDFs, with tools to check OCR need, process single files or batch folders, and integrate with Zotero attachment storage.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/acr0at9lmo)
- **Repository:** <https://github.com/chemysterium/ocrmypdf-mcp>

## 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": "chemysterium-ocrmypdf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chemysterium-ocrmypdf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chemysterium-ocrmypdf-mcp/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