Extract data from documents with GPT-4, PDFVector & PostgreSQL export

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Intelligent Document Processing & Data Extraction Extract structured data from unstructured documents like invoices, contracts, reports, and forms. Uses AI to identify and extract key information a...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.localfiletrigger, n8n-nodes-pdfvector.pdfvector, n8n-nodes-base.openai, n8n-nodes-base.code, n8n-nodes-base.switch, n8n-nodes-base.postgres, n8n-nodes-base.writebinaryfile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by PDF Vector.

Original n8n.io source

1.1 Workflow description

Title: Extract data from documents with GPT-4, PDFVector & PostgreSQL export
Workflow name: Extract data from documents with GPT-4, PDFVector & PostgreSQL export

Intelligent Document Processing & Data Extraction

Extract structured data from unstructured documents like invoices, contracts, reports, and forms. Uses AI to identify and extract key information automatically.

Pipeline Features:

Process multiple document types (PDFs, Word docs)
AI-powered field extraction
Custom extraction templates
Data validation and cleaning
Export to databases or spreadsheets

Workflow Steps:

Document Input: Various sources supported
Parse Document: Convert to structured text
Extract Fields: AI identifies key data points
Validate Data: Check extracted values
Transform: Format for destination system
Store/Export: Save to database or file

Use Cases:

Invoice processing automation
Contract data extraction
Form digitization
Report mining

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Pipeline Info

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Watch Folder

Type / Role: n8n-nodes-base.localFileTrigger - localFileTrigger
Config choices: Version 1

Block 3 - PDF Vector - Parse Document

Type / Role: n8n-nodes-pdfvector.pdfVector - pdfVector
Config choices: Version 1

Block 4 - Extract Structured Data

Type / Role: n8n-nodes-base.openAi - openAi
Config choices: Version 1

Block 5 - Validate & Clean Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 1

Block 6 - Route by Document Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 1

Block 7 - Store Invoice Data

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 1

Block 8 - Store Other Documents

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 1

Block 9 - Export to CSV

Type / Role: n8n-nodes-base.writeBinaryFile - writeBinaryFile
Config choices: Version 1

3. Summary Table

Workflow	Extract data from documents with GPT-4, PDFVector & PostgreSQL export
Complexity	intermediate
Nodes	9
Categories	Document Extraction, Multimodal AI
Author	PDF Vector
Published	14 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7357/7357.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Extract data from documents with GPT-4, PDFVector & PostgreSQL export do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

PDF Vector

20 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.localfiletrigger n8n-nodes-pdfvector.pdfvector n8n-nodes-base.openai n8n-nodes-base.code n8n-nodes-base.switch n8n-nodes-base.postgres n8n-nodes-base.writebinaryfile

Complexity

intermediate

Published 14 Aug 2025

Likes 0

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Install path: /data/workflows/7357/7357.json

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Extract data from documents with GPT-4, PDFVector & PostgreSQL export

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Intelligent Document Processing & Data Extraction

Pipeline Features:

Workflow Steps:

Use Cases:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Pipeline Info

Block 2 - Watch Folder

Block 3 - PDF Vector - Parse Document

Block 4 - Extract Structured Data

Block 5 - Validate & Clean Data

Block 6 - Route by Document Type

Block 7 - Store Invoice Data

Block 8 - Store Other Documents

Block 9 - Export to CSV

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions