A contract, an invoice, a 40-page report \u2014 the answer your customer wants is almost always already in the PDF. Your agent just needs to be able to open it.<\/p>\n
The pdf-tools connector gives your agent two straightforward tools \u2014 Reading a PDF is far more useful when the agent can connect it to everything else it knows. When you upload a PDF to your agent’s knowledge base, its text is extracted, indexed and retrievable \u2014 so the agent answers from the document’s real content, not a guess and not a generic summary. And when it reads a file directly with The point isn’t that your agent can read a PDF. It’s that it can read your<\/em> PDF and answer the specific question buried inside it \u2014 with the rest of your knowledge in context.<\/p>\n<\/blockquote>\n Think about who currently opens these files. Someone digs up the contract to confirm a renewal date, scrolls an invoice to find a line item, or skims a report to answer one question. With So much business knowledge sits trapped in PDFs that nobody has time to re-read. Giving your agent the ability to extract and understand them turns a pile of static files into a source it can answer from, around the clock.<\/p>\npdf_extract_text<\/code> and pdf_info<\/code> \u2014 to pull the text and metadata out of a PDF. Contracts, invoices, reports: as long as the file carries a real text layer, the content stops being a locked file and becomes something the agent can actually read, quote and reason about. (Scanned, image-only pages need OCR, which these tools don’t do.)<\/p>\nGrounded in the document<\/h2>\n
pdf_extract_text<\/code>, that text comes straight back into the agent’s working context to reason over. Ask what a clause says or what an invoice totals, and the reply comes from the page itself.<\/p>\n\n
The work this replaces<\/h2>\n
pdf_extract_text<\/code> and pdf_info<\/code> in hand, that’s an agent task \u2014 fast, repeatable, and available to your customers the moment they ask.<\/p>\n\n
Why it matters<\/h2>\n