Tools / PDF / Use Cases / Extract Text from PDFs

Extract Text from PDFs

Pull raw text from any PDF URL so you can search, quote, or process its contents programmatically.

Tool
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PDF

Copying text out of a PDF manually is painful — formatting breaks, columns merge, and multi-page documents take minutes just to select. When the PDF is behind a link and you need specific passages out of a 60-page report, the process becomes genuinely impractical without automation.

The extract_text skill fetches a PDF from any public URL and returns clean, structured text. No file upload required — just pass the link. The output preserves page breaks and can be fed directly into further analysis, search indexing, or summarisation workflows.

Legal teams pulling clauses from contracts, analysts extracting data tables from regulatory filings, and content teams mining whitepapers all use this to skip the copy-paste step entirely.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Extract the text from this PDF: [paste URL]"
  3. Claude retrieves and returns the full document text
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ChatGPT

  1. Add ToolRouter to ChatGPT using the MCP JSON configuration
  2. Paste the PDF URL and ask: "Extract all text from this PDF"
  3. ChatGPT returns clean text page by page
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration
  2. In Copilot Chat: "Extract text from this PDF URL: [url]"
  3. Copilot returns the raw text content
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OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Provide a list of PDF URLs and ask: "Extract text from each of these PDFs"
  3. OpenClaw processes each document and returns the text
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