Automated Plagiarism Detection with Email Reports Using n8n & Google Sheets

Help me Build my Workflow
1

I’ve been exploring ways to make content checking less repetitive, especially when handling multiple articles, submissions, or client drafts.

The idea is to build an n8n workflow where content gets submitted, automatically sent to an AI detector, and then returned with a clear detection report. Instead of manually copying and pasting every document into different platforms, n8n handles most of the process in the background.

For example, content could come in through a form or spreadsheet. That submission triggers the n8n workflow, sends the text to the detection service, processes the response, and generates a simple report. The result could then be emailed to the user while the status is logged for future reference.

The interesting part for me is figuring out how to integrate the best AI detector into this workflow. Ideally, the detector would have an API or another integration method that makes it easy for n8n to send content and receive detection results automatically.

This could be useful for agencies, publishers, editors, educators, or anyone reviewing a lot of written content.

Has anyone in the n8n community built something similar? I’d be interested to know how you’d connect an AI detector to n8n while keeping the workflow simple and reliable.

2

Hey @Patrick_Davis, while you wait for a response, here are some things that might help:

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@mariana-na, @kuldip_parmar, @Lwanda_Mhlongo - you’ve helped with similar issues before, can you take a look?

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3

hi @Patrick_Davis welcome to n8n comminity.
You can build this workflow easily.
from your description you will need (form trigger) which takes required fields as input along with document you want to check → any detector platform that provide api (use http node)->filter/organize results → send email + log into sheet
you can achieve that functionality using above nodes.

4

Hi @Patrick_Davis ,
Adding to @moosa His sequence is exactly right, but there is one critical technical hurdle to note if you plan to accept actual file uploads (.pdf , .docx) instead of just pated text.

AI detection APIs require text strings in their payload . Because files arrive via the Form Trigger as binary data, you cannot feed them directly into the API.

Here is how to contruct the workflow reliably :

  1. n8n form Trigger: configure it for text inputs or file uploads.
  2. extract from file node: Place this right after the trigger to convert uploaded documents into readable text strings .
  3. HTTP Request node : Route the extracted text into JSON body of your chosen AI detector’s API endpoint
  4. Edit fields (Set)Node: Parse the API response to structure your final report data.
  5. Output Nodes: Fork the data simultaneously to a Gmail node(email the client) and Google sheets nod (to archive the submission)

you can also check the documentations links to validate the production setup

Trigger ingestion: n8n Form | Nodes | n8n Docs, this shows the nodes hosts public endpoins ,accepts user inputs , and captures file uploads as binary objects.

The missing step : https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile,this outlines how incoming files arriving via form uploads or webhooks are stored as binary data.

Also api delivery : HTTP Request | Nodes | n8n Docs, this details how to properly pass the converted tex payload inside a POST or JSON/RAW body to third-party endpoints.

5

Does the email report need to show matching passages and their published sources, an AI-generated-text score, or both? Your title says plagiarism, while the workflow description says AI detection. I’d settle that first, because it changes which API result you need to capture and put in the report.