pdfvector

n8n community node for PDF Vector — parse PDF, Word, Excel, and image documents, extract structured data with JSON Schema, ask AI questions, and search academic papers across multiple databases.

Package Information

Downloads: 2,779 weekly / 99,995 monthly
Latest Version: 2.1.3
Author: PDF Vector

Available Nodes

PDF Vector icon
PDF Vector
Convert PDFs, Word, Excel documents, and images to clean markdown, extract structured data with AI, process invoices with specialized parsing, and search millions of academic papers across PubMed, ArXiv, Google Scholar, and more.

Documentation

n8n-nodes-pdfvector

n8n community node for PDF Vector — parse PDF, Word, Excel, and image documents to structured markdown, ask AI questions about documents, extract structured data with JSON Schema, and search academic papers across multiple databases.

Installation

Follow the installation guide in the n8n community nodes documentation.

In n8n, go to Settings > Community Nodes and install:

n8n-nodes-pdfvector

Credentials

  1. Sign up at app.pdfvector.com
  2. Go to Settings to get your API key
  3. In n8n, create a new PDF Vector API credential and paste your API key

Custom instance: If you have a custom PDF Vector instance, enter your instance domain in the credential's Domain field. Otherwise, leave it as global.pdfvector.com.

Operations

Document

Parse, ask, and extract from generic documents (PDF, Word, Excel, CSV, Image).

Operation Description
Parse Extract text content and page count
Ask Ask a question about the document and get an AI answer
Extract Extract structured data using a JSON Schema

Identity Document

Parse, ask, and extract from identity documents (passports, driver's licenses, ID cards).

Operation Description
Parse Extract text from identity documents (Pro/Max models only)
Ask Ask a question about the identity document
Extract Extract structured fields (name, DOB, document number, etc.)

Invoice

Parse, ask, and extract from invoices.

Operation Description
Parse Extract text from invoices (Pro/Max models only)
Ask Ask a question about the invoice
Extract Extract structured invoice data (number, date, items, totals)

Bank Statement

Parse, ask, and extract from bank statements.

Operation Description
Parse Extract text from bank statements (Pro/Max models only)
Ask Ask a question about the bank statement
Extract Extract structured bank statement data

Academic

Search, fetch, and find citations across academic databases.

Operation Description
Search Search for papers across 7 academic databases
Fetch Fetch specific papers by DOI, PubMed ID, ArXiv ID, etc.
Find Citations Find relevant citations for a paragraph of text

Supported providers: Semantic Scholar, PubMed, ArXiv, Google Scholar, OpenAlex, ERIC, Europe PMC.

Model Tiers

All document operations support model selection:

Tier Best for Max pages Max size
Auto Automatic selection (default) 1000 500MB
Nano Simple text documents 30 10MB
Mini Tables, structured content 30 10MB
Pro Complex docs, images, handwriting 30 40MB
Max Large docs, full capabilities + HTML 1000 500MB

Identity, Invoice, and Bank Statement parse operations only support Auto, Pro, and Max.

Document ID Tracking

All document operations (except Academic) support an optional Document ID field for usage tracking. The ID is returned in the response and saved in your usage records.

Compatibility

  • n8n version: 1.0+
  • Node.js version for local development and CI: 22+

Resources

Version History

  • 2.x: Unified PDF Vector node with document, identity, invoice, bank statement, and academic operations
  • 1.x: Earlier PDF Vector integration releases

License

MIT

Discussion