PDF Agents

PDFs are the universal format for contracts, invoices, research papers, and reports. Agents that read PDFs unlock RAG over document libraries, automated data entry, and compliance review.

A PDF agent is a paralegal who reads stacks of contracts, highlights key clauses, and fills in summary spreadsheets.

Scenario

Invoice processing agent: receives PDF invoice → extracts vendor, line items, total → validates against PO in ERP → flags discrepancies → routes for approval.

Solution

In Voice & Multimodal Agents, apply PDF Agents to this scenario: Invoice processing agent: receives PDF invoice → extracts vendor, line items, total → validates against PO in ERP → flags discrepancies → routes for approval. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

Do this before moving to the next module — reading alone is not enough.

Open the Code Walkthrough below and run it locally. Change one parameter related to PDF Agents (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

Highlighted lines show where PDF Agents happens in the code.

1import pymupdf  # import dependencies2
3def extract_pdf_text(path: str) -> list[str]:  # define a reusable function4    doc = pymupdf.open(path)5    pages = []6    for page in doc:7        pages.append(page.get_text())8    return pages  # return the result9
10# Then: chunk → embed → RAG, or send to vision LLM

• Treating PDF Agents as a black box without evaluation
• Ignoring cost and latency in production
• Skipping error handling for pdf agents

Quick recap — the most important points from this module.