Automating CAPA Report Generation from Images Using n8n πŸ€–πŸ“Έ



This content originally appeared on DEV Community and was authored by Sagar jariwala

Workflow Overview

Webhook Input:
The workflow receives an image via a webhook (tested using Postman).

Validation:
If no image is found β†’ sends an error email.
Converts the image to Base64 for processing.

Industry Relevance Check:
Determines if the image is related to the industry.
If not β†’ sends an email stating the image is not industrial.

Image Recreation & Processing:
Recreates the image from Base64.
Processes it to extract all information required for a CAPA report.

HTML Generation:
Converts the extracted information into an HTML report.

Email Delivery:
Sends the final CAPA report via email.

Why I Built This
To automate manual report generation and reduce human error.
To experiment with n8n’s workflow automation capabilities.
To explore image processing and industry-specific validation in automation pipelines.

Achieved measurable results:
Saves ~60% of the time previously spent on manual report creation
Improves efficiency by ~50% in CAPA report processing
Reduces manual work by ~70%, minimizing human errors

Tools & Tech
n8n – for workflow orchestration
Postman – for testing webhook inputs
Base64 encoding/decoding – for image handling
Email node in n8n – for notifications

Summary
This workflow demonstrates how automation can:
Streamline repetitive tasks
Integrate multiple services
Ensure timely reporting
Deliver measurable productivity improvements in industrial reporting


This content originally appeared on DEV Community and was authored by Sagar jariwala