How to Extract Text from PDFs with OpenClaw
Batch extract PDF text with OpenClaw and ToolRouter. Automate document parsing at scale.
Tool
OpenClaw handles bulk PDF text extraction reliably — process lists of document URLs, feed the text into downstream parsing steps, and build automated pipelines that turn raw PDFs into structured data without manual intervention.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the PDF tool:
- Provide a list of PDF URLs and ask: "Extract text from each of these PDFs"
- OpenClaw processes each document and returns the text
- Pipe the output into a summarisation or classification step
- Save results to a file or database for downstream use
Example Prompt
Try this with OpenClaw using the PDF tool
Extract text from each of these PDFs and save the results labelled by document name: [list of URLs].
Tips
- Chain extract_text with the analyze skill to summarise each document in one run
- Useful for bulk processing regulatory filings, research papers, or policy documents
- Ask OpenClaw to flag pages that appear to be image-only scans with no extractable text