Document Analysis: PDF Intelligence
Upload PDF documents and ask OpenClaw to summarize, extract data, and answer questions about the content.
What You Will Get
After this setup, you can send any PDF to OpenClaw and interact with it conversationally. Ask for a summary of a 50-page report, extract specific data points from tables, or query the document for answers to specific questions. The agent reads the full document and responds based on its content.
This workflow turns static PDFs into interactive knowledge sources. Instead of reading an entire annual report to find one revenue figure, you ask OpenClaw and get the answer in seconds. Instead of scanning a legal document for key terms, the agent highlights them for you.
The agent can process contracts, research papers, financial reports, technical documentation, and any other text-based PDF. The extracted content can be saved to your notes, compared with other documents, or used as input for further research.
Setup Steps
Configure OpenClaw for PDF document analysis.
Enable PDF Processing
Make sure your OpenClaw instance on RunTheAgent can accept PDF files as input. The agent needs to extract text from the PDF, including tables, headers, and footnotes. Test by sending a short PDF and asking OpenClaw to read the first page.
Write Analysis Instructions
Add prompt instructions that tell OpenClaw how to handle PDFs. When you send a document, the agent should first provide a quick overview: document title, author, page count, and a one-paragraph summary. Then it should ask how you want to proceed.
Enable Summarization Modes
Define three summarization levels: Brief (one paragraph), Standard (one page with key points), and Detailed (section-by-section summary with quotes). Let the user choose by saying 'give me a brief summary' or 'detailed summary please.'
Set Up Data Extraction
Configure the agent to extract structured data from tables, charts (via text labels), and lists within the PDF. When you ask 'what are the revenue numbers in this report,' OpenClaw should locate the relevant table and present the data clearly.
Enable Conversational Queries
After processing a PDF, the agent should allow follow-up questions about the document. 'What does section 3 say about liability?' or 'How many participants were in the study?' The agent references the relevant passages and provides answers with page numbers.
Add Document Comparison
When you send two PDFs, enable comparison mode. OpenClaw should identify differences, similarities, and changes between the documents. This is useful for comparing contract versions, report editions, or competing proposals.
Test with Various Document Types
Process a financial report, a research paper, and a contract. Verify the summarization quality, data extraction accuracy, and conversational query responsiveness for each type. Adjust your prompt instructions based on the results.
Tips and Best Practices
Use Searchable PDFs
Text-based PDFs produce the best results. Scanned image PDFs require OCR first, which can introduce errors. If possible, use the original digital version.
Ask Specific Questions
The more specific your question, the more precise the answer. 'What was Q3 revenue?' is better than 'tell me about the finances.'
Save Extracted Insights
After analyzing a document, ask OpenClaw to save the key findings to your notes or wiki. This preserves the insights for future reference without needing to re-process the PDF.
Frequently Asked Questions
Related Pages
Ready to get started?
Deploy your own OpenClaw instance in under 60 seconds. No VPS, no Docker, no SSH. Just your personal AI assistant, ready to work.
Starting at $24.50/mo. Everything included. 3-day money-back guarantee.
