Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow processes invoices (PDFs and images) using Cradl AI’s all in one document processing capabilities, including LLM powered data extraction, validation, human in the loop review, and RAG...
n8n-nodes-base.stickynote, n8n-nodes-base.gmailtrigger, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.gmail, @cradl/n8n-nodes-cradlai.cradlai, n8n-nodes-base.splitout
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ståle Zerener.
Original n8n.io sourceThis workflow processes invoices (PDFs and images) using Cradl AI’s all-in-one document processing capabilities, including LLM-powered data extraction, validation, human-in-the-loop review, and RAG-powered learning to improve accuracy over time — all within a single node.
Data extraction workflows often break in production due to hallucinations, lack of validation and error handling, and the difficulty of learning from past errors. This workflow shows how to solve this using Cradl AI as a single node that handles the entire document data extraction pipeline.
n8n users looking for a production-ready invoice data extraction pipeline.
The template is intentionally minimal — import and export tend to vary between setups. The following are easy to swap:
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.
| Workflow | Extract invoice data from Gmail PDFs to Google Sheets with human review |
|---|---|
| Complexity | intermediate |
| Nodes | 10 |
| Categories | Invoice Processing, AI Summarization |
| Author | Ståle Zerener |
| Published | 13 Apr 2026 |
Use the JSON export at /data/workflows/15011/15011.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This workflow processes invoices (PDFs and images) using Cradl AI’s all in one document processing capabilities, including LLM powered data extraction, validation, human in the loop review, and RAG...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Invoice Processing, AI Summarization use case.