# PDFMux

> Use this tool when you need to extract text from PDFs efficiently and accurately, solving problems such as manual data entry and OCR errors. PDFMux orchestrates page routing to optimal backends, accepting PDF inputs and producing extracted text outputs with confidence scores. It is ideal for use cases involving invoices, contracts, and other document types requiring schema-guided extraction and cost-effective processing.

Canonical page: https://skillsregistry.net/skills/gh-nareetp-pdfmux  
JSON: https://api.skillsregistry.net/v1/skills/gh-nareetp-pdfmux

## Description

PDFMux is an intelligent PDF text extraction orchestrator that routes pages to the most appropriate backend based on content type. It supports PyMuPDF, OpenDataLoader, RapidOCR, Docling, and Surya backends with cost-aware economy, balanced, and premium processing modes. Features schema-guided extraction for invoices and contracts, RAG-ready chunking, and confidence scoring without requiring a GPU.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-nareetp-pdfmux)
- **Repository:** <https://github.com/nameetp/pdfmux>

## 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": "gh-nareetp-pdfmux"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-nareetp-pdfmux` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-nareetp-pdfmux/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