PDF Vector parses documents into markdown, extracts structured data, answers document questions, and searches academic publications and grants.
Answer one question from a general, identity, invoice, or bank-statement document. Processing consumes credits; the response reports the actual model and credit cost. The tool never retries with a higher model automatically.
Extract schema-constrained structured data from a general, identity, invoice, or bank-statement document. Processing consumes credits and never retries with a higher model automatically.
Resolve up to 100 publication identifiers with provider auto-detection and return both resolved records and per-identifier errors.
Find relevant academic citations for each sentence in a paragraph and preserve provider-specific partial errors.
Find papers related to a seed publication using citation-network similarity, optionally including relationship edges.
Retrieve a publication plus one independently offset-controlled page of citing papers and one page of referenced papers.
Resolve an academic identifier or provider URL to a public PDF and parse it to markdown. Processing consumes credits, returns the actual model and credit cost, and never retries with a higher model automatically.
Convert a general, identity, invoice, or bank-statement document to markdown. Processing consumes credits; returns the actual model and credit cost and never retries with a higher model automatically.
Search academic publications across selected databases and return one offset-controlled page, including any provider-specific partial errors.
Search US, EU, and UK research-grant providers and return one explicit offset-controlled page with partial provider errors.
The PDF Vector integration connects your Dench AI CRM directly to PDF Vector, so agents can read and act on your PDF Vector data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
10 actions are available for agents to invoke on your behalf. Every call runs through PDF Vector's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find PDF Vector and click Connect — you'll authorize access through PDF Vector's own sign-in flow. No API keys or code required.
Ask an agent to use PDF Vector in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench PDF Vector integration connects your AI CRM to PDF Vector, so AI agents can work with your PDF Vector data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The PDF Vector integration currently exposes 10 actions, including Ask Document, Extract Document Data, Fetch Publications, Find Citations, Find Similar Papers, and Get Paper Graph. Agents invoke them on your behalf from chat or from automations.
No. You connect PDF Vector from your Dench workspace using PDF Vector's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through PDF Vector's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the PDF Vector connection from your workspace settings at any time.