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 → 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 → 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
Sagar jariwala | Sciencx (2025-09-21T20:13:41+00:00) Automating CAPA Report Generation from Images Using n8n 🤖📸. Retrieved from https://www.scien.cx/2025/09/21/automating-capa-report-generation-from-images-using-n8n-%f0%9f%a4%96%f0%9f%93%b8/
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